Management Scheme for Data Collection within Wireless Sensor Networks
This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, t...
Ausführliche Beschreibung
Autor*in: |
Habib, Sami J. [verfasserIn] Marimuthu, Paulvanna N. [author] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2012 |
---|
Schlagwörter: |
---|
Umfang: |
Online-Ressource |
---|
Reproduktion: |
IGI Global InfoSci Journals Archive 2000 - 2012 |
---|---|
Übergeordnetes Werk: |
In: International journal of adaptive, resilient and autonomic systems - Hershey, Pa : IGI Global, 2010, 3(2012), 2, Seite 59-76 |
Übergeordnetes Werk: |
volume:3 ; year:2012 ; number:2 ; pages:59-76 |
Links: |
---|
DOI / URN: |
10.4018/jaras.2012040104 |
---|
Katalog-ID: |
NLEJ24444787X |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLEJ24444787X | ||
003 | DE-627 | ||
005 | 20240202180055.0 | ||
007 | cr uuu---uuuuu | ||
008 | 150605s2012 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.4018/jaras.2012040104 |2 doi | |
035 | |a (DE-627)NLEJ24444787X | ||
035 | |a (VZGNL)10.4018/jaras.2012040104 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Habib, Sami J. |e verfasserin |4 aut | |
245 | 1 | 0 | |a Management Scheme for Data Collection within Wireless Sensor Networks |
264 | 1 | |c 2012 | |
300 | |a Online-Ressource | ||
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii | ||
533 | |f IGI Global InfoSci Journals Archive 2000 - 2012 | ||
650 | 4 | |a Data Management | |
650 | 4 | |a Energy Minimization | |
650 | 4 | |a Minimum Connected Dominating Set | |
650 | 4 | |a Multi-Hop Transmission | |
650 | 4 | |a Waiting Time | |
650 | 4 | |a Wireless Sensor Network | |
700 | 1 | |a Marimuthu, Paulvanna N. |e author |4 aut | |
773 | 0 | 8 | |i In |t International journal of adaptive, resilient and autonomic systems |d Hershey, Pa : IGI Global, 2010 |g 3(2012), 2, Seite 59-76 |h Online-Ressource |w (DE-627)NLEJ244418640 |w (DE-600)2695784-X |x 1947-9239 |7 nnns |
773 | 1 | 8 | |g volume:3 |g year:2012 |g number:2 |g pages:59-76 |
856 | 4 | 0 | |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104 |m X:IGIG |x Verlag |z Deutschlandweit zugänglich |
856 | 4 | 2 | |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104&buylink=true |q text/html |y Abstract |z Deutschlandweit zugänglich |
912 | |a ZDB-1-GIS | ||
912 | |a GBV_NL_ARTICLE | ||
951 | |a AR | ||
952 | |d 3 |j 2012 |e 2 |h 59-76 |
author_variant |
s j h sj sjh p n m pn pnm |
---|---|
matchkey_str |
article:19479239:2012----::aaeetceeodtcletowtiwrl |
hierarchy_sort_str |
2012 |
publishDate |
2012 |
allfields |
10.4018/jaras.2012040104 doi (DE-627)NLEJ24444787X (VZGNL)10.4018/jaras.2012040104 DE-627 ger DE-627 rakwb eng Habib, Sami J. verfasserin aut Management Scheme for Data Collection within Wireless Sensor Networks 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii IGI Global InfoSci Journals Archive 2000 - 2012 Data Management Energy Minimization Minimum Connected Dominating Set Multi-Hop Transmission Waiting Time Wireless Sensor Network Marimuthu, Paulvanna N. author aut In International journal of adaptive, resilient and autonomic systems Hershey, Pa : IGI Global, 2010 3(2012), 2, Seite 59-76 Online-Ressource (DE-627)NLEJ244418640 (DE-600)2695784-X 1947-9239 nnns volume:3 year:2012 number:2 pages:59-76 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 3 2012 2 59-76 |
spelling |
10.4018/jaras.2012040104 doi (DE-627)NLEJ24444787X (VZGNL)10.4018/jaras.2012040104 DE-627 ger DE-627 rakwb eng Habib, Sami J. verfasserin aut Management Scheme for Data Collection within Wireless Sensor Networks 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii IGI Global InfoSci Journals Archive 2000 - 2012 Data Management Energy Minimization Minimum Connected Dominating Set Multi-Hop Transmission Waiting Time Wireless Sensor Network Marimuthu, Paulvanna N. author aut In International journal of adaptive, resilient and autonomic systems Hershey, Pa : IGI Global, 2010 3(2012), 2, Seite 59-76 Online-Ressource (DE-627)NLEJ244418640 (DE-600)2695784-X 1947-9239 nnns volume:3 year:2012 number:2 pages:59-76 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 3 2012 2 59-76 |
allfields_unstemmed |
10.4018/jaras.2012040104 doi (DE-627)NLEJ24444787X (VZGNL)10.4018/jaras.2012040104 DE-627 ger DE-627 rakwb eng Habib, Sami J. verfasserin aut Management Scheme for Data Collection within Wireless Sensor Networks 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii IGI Global InfoSci Journals Archive 2000 - 2012 Data Management Energy Minimization Minimum Connected Dominating Set Multi-Hop Transmission Waiting Time Wireless Sensor Network Marimuthu, Paulvanna N. author aut In International journal of adaptive, resilient and autonomic systems Hershey, Pa : IGI Global, 2010 3(2012), 2, Seite 59-76 Online-Ressource (DE-627)NLEJ244418640 (DE-600)2695784-X 1947-9239 nnns volume:3 year:2012 number:2 pages:59-76 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 3 2012 2 59-76 |
allfieldsGer |
10.4018/jaras.2012040104 doi (DE-627)NLEJ24444787X (VZGNL)10.4018/jaras.2012040104 DE-627 ger DE-627 rakwb eng Habib, Sami J. verfasserin aut Management Scheme for Data Collection within Wireless Sensor Networks 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii IGI Global InfoSci Journals Archive 2000 - 2012 Data Management Energy Minimization Minimum Connected Dominating Set Multi-Hop Transmission Waiting Time Wireless Sensor Network Marimuthu, Paulvanna N. author aut In International journal of adaptive, resilient and autonomic systems Hershey, Pa : IGI Global, 2010 3(2012), 2, Seite 59-76 Online-Ressource (DE-627)NLEJ244418640 (DE-600)2695784-X 1947-9239 nnns volume:3 year:2012 number:2 pages:59-76 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 3 2012 2 59-76 |
allfieldsSound |
10.4018/jaras.2012040104 doi (DE-627)NLEJ24444787X (VZGNL)10.4018/jaras.2012040104 DE-627 ger DE-627 rakwb eng Habib, Sami J. verfasserin aut Management Scheme for Data Collection within Wireless Sensor Networks 2012 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii IGI Global InfoSci Journals Archive 2000 - 2012 Data Management Energy Minimization Minimum Connected Dominating Set Multi-Hop Transmission Waiting Time Wireless Sensor Network Marimuthu, Paulvanna N. author aut In International journal of adaptive, resilient and autonomic systems Hershey, Pa : IGI Global, 2010 3(2012), 2, Seite 59-76 Online-Ressource (DE-627)NLEJ244418640 (DE-600)2695784-X 1947-9239 nnns volume:3 year:2012 number:2 pages:59-76 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 3 2012 2 59-76 |
language |
English |
source |
In International journal of adaptive, resilient and autonomic systems 3(2012), 2, Seite 59-76 volume:3 year:2012 number:2 pages:59-76 |
sourceStr |
In International journal of adaptive, resilient and autonomic systems 3(2012), 2, Seite 59-76 volume:3 year:2012 number:2 pages:59-76 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Data Management Energy Minimization Minimum Connected Dominating Set Multi-Hop Transmission Waiting Time Wireless Sensor Network |
isfreeaccess_bool |
false |
container_title |
International journal of adaptive, resilient and autonomic systems |
authorswithroles_txt_mv |
Habib, Sami J. @@aut@@ Marimuthu, Paulvanna N. @@aut@@ |
publishDateDaySort_date |
2012-01-01T00:00:00Z |
hierarchy_top_id |
NLEJ244418640 |
id |
NLEJ24444787X |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ24444787X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240202180055.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">150605s2012 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/jaras.2012040104</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ24444787X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/jaras.2012040104</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Habib, Sami J.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Management Scheme for Data Collection within Wireless Sensor Networks</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">IGI Global InfoSci Journals Archive 2000 - 2012</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Management</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Energy Minimization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Minimum Connected Dominating Set</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multi-Hop Transmission</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Waiting Time</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wireless Sensor Network</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Marimuthu, Paulvanna N.</subfield><subfield code="e">author</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">International journal of adaptive, resilient and autonomic systems</subfield><subfield code="d">Hershey, Pa : IGI Global, 2010</subfield><subfield code="g">3(2012), 2, Seite 59-76</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244418640</subfield><subfield code="w">(DE-600)2695784-X</subfield><subfield code="x">1947-9239</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:3</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:59-76</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104&buylink=true</subfield><subfield code="q">text/html</subfield><subfield code="y">Abstract</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">3</subfield><subfield code="j">2012</subfield><subfield code="e">2</subfield><subfield code="h">59-76</subfield></datafield></record></collection>
|
series2 |
IGI Global InfoSci Journals Archive 2000 - 2012 |
author |
Habib, Sami J. |
spellingShingle |
Habib, Sami J. misc Data Management misc Energy Minimization misc Minimum Connected Dominating Set misc Multi-Hop Transmission misc Waiting Time misc Wireless Sensor Network Management Scheme for Data Collection within Wireless Sensor Networks |
authorStr |
Habib, Sami J. |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)NLEJ244418640 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut |
collection |
NL |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
1947-9239 |
topic_title |
Management Scheme for Data Collection within Wireless Sensor Networks Data Management Energy Minimization Minimum Connected Dominating Set Multi-Hop Transmission Waiting Time Wireless Sensor Network |
topic |
misc Data Management misc Energy Minimization misc Minimum Connected Dominating Set misc Multi-Hop Transmission misc Waiting Time misc Wireless Sensor Network |
topic_unstemmed |
misc Data Management misc Energy Minimization misc Minimum Connected Dominating Set misc Multi-Hop Transmission misc Waiting Time misc Wireless Sensor Network |
topic_browse |
misc Data Management misc Energy Minimization misc Minimum Connected Dominating Set misc Multi-Hop Transmission misc Waiting Time misc Wireless Sensor Network |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
hierarchy_parent_title |
International journal of adaptive, resilient and autonomic systems |
hierarchy_parent_id |
NLEJ244418640 |
hierarchy_top_title |
International journal of adaptive, resilient and autonomic systems |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)NLEJ244418640 (DE-600)2695784-X |
title |
Management Scheme for Data Collection within Wireless Sensor Networks |
ctrlnum |
(DE-627)NLEJ24444787X (VZGNL)10.4018/jaras.2012040104 |
title_full |
Management Scheme for Data Collection within Wireless Sensor Networks |
author_sort |
Habib, Sami J. |
journal |
International journal of adaptive, resilient and autonomic systems |
journalStr |
International journal of adaptive, resilient and autonomic systems |
lang_code |
eng |
isOA_bool |
false |
recordtype |
marc |
publishDateSort |
2012 |
contenttype_str_mv |
zzz |
container_start_page |
59 |
author_browse |
Habib, Sami J. Marimuthu, Paulvanna N. |
container_volume |
3 |
physical |
Online-Ressource |
format_se |
Elektronische Aufsätze |
author-letter |
Habib, Sami J. |
doi_str_mv |
10.4018/jaras.2012040104 |
author2-role |
author |
title_sort |
management scheme for data collection within wireless sensor networks |
title_auth |
Management Scheme for Data Collection within Wireless Sensor Networks |
abstract |
This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii |
abstractGer |
This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii |
abstract_unstemmed |
This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii |
collection_details |
ZDB-1-GIS GBV_NL_ARTICLE |
container_issue |
2 |
title_short |
Management Scheme for Data Collection within Wireless Sensor Networks |
url |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104&buylink=true |
remote_bool |
true |
author2 |
Marimuthu, Paulvanna N. |
author2Str |
Marimuthu, Paulvanna N. |
ppnlink |
NLEJ244418640 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.4018/jaras.2012040104 |
up_date |
2024-07-06T07:55:54.165Z |
_version_ |
1803815542237167616 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ24444787X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240202180055.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">150605s2012 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/jaras.2012040104</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ24444787X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/jaras.2012040104</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Habib, Sami J.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Management Scheme for Data Collection within Wireless Sensor Networks</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">IGI Global InfoSci Journals Archive 2000 - 2012</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Management</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Energy Minimization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Minimum Connected Dominating Set</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multi-Hop Transmission</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Waiting Time</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wireless Sensor Network</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Marimuthu, Paulvanna N.</subfield><subfield code="e">author</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">International journal of adaptive, resilient and autonomic systems</subfield><subfield code="d">Hershey, Pa : IGI Global, 2010</subfield><subfield code="g">3(2012), 2, Seite 59-76</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244418640</subfield><subfield code="w">(DE-600)2695784-X</subfield><subfield code="x">1947-9239</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:3</subfield><subfield code="g">year:2012</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:59-76</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2012040104&buylink=true</subfield><subfield code="q">text/html</subfield><subfield code="y">Abstract</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">3</subfield><subfield code="j">2012</subfield><subfield code="e">2</subfield><subfield code="h">59-76</subfield></datafield></record></collection>
|
score |
7.399083 |