Sequence Statistical Code Based Data Compression Algorithm for Wireless Sensor Network
Abstract Sensors play an integral part in the technologically advanced real world. Wireless sensors are which have powered by batteries with limited capacity. Hence energy efficiency is one of the major issues with wireless sensors. Many techniques have been proposed in order to improve sensor effic...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jancy, S. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Wireless personal communications - Springer US, 1994, 106(2019), 3 vom: 27. Apr., Seite 971-985 |
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| Übergeordnetes Werk: |
volume:106 ; year:2019 ; number:3 ; day:27 ; month:04 ; pages:971-985 |
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| DOI / URN: |
10.1007/s11277-019-06171-x |
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| 520 | |a Abstract Sensors play an integral part in the technologically advanced real world. Wireless sensors are which have powered by batteries with limited capacity. Hence energy efficiency is one of the major issues with wireless sensors. Many techniques have been proposed in order to improve sensor efficiency. This paper discusses to improve energy efficiency of sensor through data compression. Sequence statistical code based data compression algorithm is being proposed to improve the energy efficiency of sensors. SDC and FOST codes were used in this algorithm in order to achieve better compression ratio. The simulation result was compared with arithmetic data compression techniques. In the proposed algorithm computation process is very simple than arithmetic data compression techniques. | ||
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| 650 | 4 | |a Arithmetic data compression techniques | |
| 700 | 1 | |a Jayakumar, C. |4 aut | |
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10.1007/s11277-019-06171-x doi (DE-627)OLC2053826495 (DE-He213)s11277-019-06171-x-p DE-627 ger DE-627 rakwb eng 620 VZ Jancy, S. verfasserin aut Sequence Statistical Code Based Data Compression Algorithm for Wireless Sensor Network 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Sensors play an integral part in the technologically advanced real world. Wireless sensors are which have powered by batteries with limited capacity. Hence energy efficiency is one of the major issues with wireless sensors. Many techniques have been proposed in order to improve sensor efficiency. This paper discusses to improve energy efficiency of sensor through data compression. Sequence statistical code based data compression algorithm is being proposed to improve the energy efficiency of sensors. SDC and FOST codes were used in this algorithm in order to achieve better compression ratio. The simulation result was compared with arithmetic data compression techniques. In the proposed algorithm computation process is very simple than arithmetic data compression techniques. Data compression Wireless sensor networks Entropy coding Arithmetic data compression techniques Jayakumar, C. aut Enthalten in Wireless personal communications Springer US, 1994 106(2019), 3 vom: 27. Apr., Seite 971-985 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:106 year:2019 number:3 day:27 month:04 pages:971-985 https://doi.org/10.1007/s11277-019-06171-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 AR 106 2019 3 27 04 971-985 |
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10.1007/s11277-019-06171-x doi (DE-627)OLC2053826495 (DE-He213)s11277-019-06171-x-p DE-627 ger DE-627 rakwb eng 620 VZ Jancy, S. verfasserin aut Sequence Statistical Code Based Data Compression Algorithm for Wireless Sensor Network 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Sensors play an integral part in the technologically advanced real world. Wireless sensors are which have powered by batteries with limited capacity. Hence energy efficiency is one of the major issues with wireless sensors. Many techniques have been proposed in order to improve sensor efficiency. This paper discusses to improve energy efficiency of sensor through data compression. Sequence statistical code based data compression algorithm is being proposed to improve the energy efficiency of sensors. SDC and FOST codes were used in this algorithm in order to achieve better compression ratio. The simulation result was compared with arithmetic data compression techniques. In the proposed algorithm computation process is very simple than arithmetic data compression techniques. Data compression Wireless sensor networks Entropy coding Arithmetic data compression techniques Jayakumar, C. aut Enthalten in Wireless personal communications Springer US, 1994 106(2019), 3 vom: 27. Apr., Seite 971-985 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:106 year:2019 number:3 day:27 month:04 pages:971-985 https://doi.org/10.1007/s11277-019-06171-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 AR 106 2019 3 27 04 971-985 |
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10.1007/s11277-019-06171-x doi (DE-627)OLC2053826495 (DE-He213)s11277-019-06171-x-p DE-627 ger DE-627 rakwb eng 620 VZ Jancy, S. verfasserin aut Sequence Statistical Code Based Data Compression Algorithm for Wireless Sensor Network 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Sensors play an integral part in the technologically advanced real world. Wireless sensors are which have powered by batteries with limited capacity. Hence energy efficiency is one of the major issues with wireless sensors. Many techniques have been proposed in order to improve sensor efficiency. This paper discusses to improve energy efficiency of sensor through data compression. Sequence statistical code based data compression algorithm is being proposed to improve the energy efficiency of sensors. SDC and FOST codes were used in this algorithm in order to achieve better compression ratio. The simulation result was compared with arithmetic data compression techniques. In the proposed algorithm computation process is very simple than arithmetic data compression techniques. Data compression Wireless sensor networks Entropy coding Arithmetic data compression techniques Jayakumar, C. aut Enthalten in Wireless personal communications Springer US, 1994 106(2019), 3 vom: 27. Apr., Seite 971-985 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:106 year:2019 number:3 day:27 month:04 pages:971-985 https://doi.org/10.1007/s11277-019-06171-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 AR 106 2019 3 27 04 971-985 |
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Abstract Sensors play an integral part in the technologically advanced real world. Wireless sensors are which have powered by batteries with limited capacity. Hence energy efficiency is one of the major issues with wireless sensors. Many techniques have been proposed in order to improve sensor efficiency. This paper discusses to improve energy efficiency of sensor through data compression. Sequence statistical code based data compression algorithm is being proposed to improve the energy efficiency of sensors. SDC and FOST codes were used in this algorithm in order to achieve better compression ratio. The simulation result was compared with arithmetic data compression techniques. In the proposed algorithm computation process is very simple than arithmetic data compression techniques. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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Abstract Sensors play an integral part in the technologically advanced real world. Wireless sensors are which have powered by batteries with limited capacity. Hence energy efficiency is one of the major issues with wireless sensors. Many techniques have been proposed in order to improve sensor efficiency. This paper discusses to improve energy efficiency of sensor through data compression. Sequence statistical code based data compression algorithm is being proposed to improve the energy efficiency of sensors. SDC and FOST codes were used in this algorithm in order to achieve better compression ratio. The simulation result was compared with arithmetic data compression techniques. In the proposed algorithm computation process is very simple than arithmetic data compression techniques. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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Abstract Sensors play an integral part in the technologically advanced real world. Wireless sensors are which have powered by batteries with limited capacity. Hence energy efficiency is one of the major issues with wireless sensors. Many techniques have been proposed in order to improve sensor efficiency. This paper discusses to improve energy efficiency of sensor through data compression. Sequence statistical code based data compression algorithm is being proposed to improve the energy efficiency of sensors. SDC and FOST codes were used in this algorithm in order to achieve better compression ratio. The simulation result was compared with arithmetic data compression techniques. In the proposed algorithm computation process is very simple than arithmetic data compression techniques. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2053826495</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504080224.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2019 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11277-019-06171-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2053826495</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11277-019-06171-x-p</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="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jancy, S.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sequence Statistical Code Based Data Compression Algorithm for Wireless Sensor Network</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Sensors play an integral part in the technologically advanced real world. Wireless sensors are which have powered by batteries with limited capacity. Hence energy efficiency is one of the major issues with wireless sensors. Many techniques have been proposed in order to improve sensor efficiency. This paper discusses to improve energy efficiency of sensor through data compression. Sequence statistical code based data compression algorithm is being proposed to improve the energy efficiency of sensors. SDC and FOST codes were used in this algorithm in order to achieve better compression ratio. The simulation result was compared with arithmetic data compression techniques. In the proposed algorithm computation process is very simple than arithmetic data compression techniques.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data compression</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wireless sensor networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Entropy coding</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Arithmetic data compression techniques</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jayakumar, C.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Wireless personal communications</subfield><subfield code="d">Springer US, 1994</subfield><subfield code="g">106(2019), 3 vom: 27. Apr., Seite 971-985</subfield><subfield code="w">(DE-627)188950273</subfield><subfield code="w">(DE-600)1287489-9</subfield><subfield code="w">(DE-576)049958909</subfield><subfield code="x">0929-6212</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:106</subfield><subfield code="g">year:2019</subfield><subfield code="g">number:3</subfield><subfield code="g">day:27</subfield><subfield code="g">month:04</subfield><subfield code="g">pages:971-985</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11277-019-06171-x</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MKW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">106</subfield><subfield code="j">2019</subfield><subfield code="e">3</subfield><subfield code="b">27</subfield><subfield code="c">04</subfield><subfield code="h">971-985</subfield></datafield></record></collection>
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