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...
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| Autor*in: |
Habib, Sami J. [verfasserIn] Marimuthu, Paulvanna N. [author] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Umfang: |
Online-Ressource |
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| Reproduktion: |
IGI Global InfoSci Journals Archive 2000 - 2012 |
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| 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: |
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| DOI / URN: |
10.4018/jaras.2012040104 |
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| 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 | ||
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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Management Scheme for Data Collection within Wireless Sensor Networks |
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Marimuthu, Paulvanna N. |
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