Applying the Chinese Remainder Theorem to Data Aggregation in Wireless Sensor Networks
In WSNs low complexity techniques for reducing the amount of bits flowing throughout the network are needed to decrease the bandwidth waste and increase the network lifetime. To this purpose, spatial correlation due to the high density of the deployed devices can be exploited. In this paper we propo...
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| Veröffentlicht in: | IEEE communications letters 2013-05, Vol.17 (5), p.1000-1003 |
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| creator | Campobello, G. Serrano, S. Galluccio, L. Palazzo, S. |
| description | In WSNs low complexity techniques for reducing the amount of bits flowing throughout the network are needed to decrease the bandwidth waste and increase the network lifetime. To this purpose, spatial correlation due to the high density of the deployed devices can be exploited. In this paper we propose a novel in-network aggregation technique based on the Chinese Remainder Theorem (CRT), which exploits the well known advantages of the source coding while using a distributed approach with no need of coordination among network nodes. Also, an appropriate network coding mechanism based on the CRT is combined to source coding to enable lossless transmission from the sources to the sink. |
| doi_str_mv | 10.1109/LCOMM.2013.040213.122430 |
| format | Article |
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To this purpose, spatial correlation due to the high density of the deployed devices can be exploited. In this paper we propose a novel in-network aggregation technique based on the Chinese Remainder Theorem (CRT), which exploits the well known advantages of the source coding while using a distributed approach with no need of coordination among network nodes. 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To this purpose, spatial correlation due to the high density of the deployed devices can be exploited. In this paper we propose a novel in-network aggregation technique based on the Chinese Remainder Theorem (CRT), which exploits the well known advantages of the source coding while using a distributed approach with no need of coordination among network nodes. Also, an appropriate network coding mechanism based on the CRT is combined to source coding to enable lossless transmission from the sources to the sink.</description><subject>Agglomeration</subject><subject>Analytical models</subject><subject>Applied sciences</subject><subject>Chinese Remainder Theorem</subject><subject>Coding</subject><subject>Coding, codes</subject><subject>Correlation</subject><subject>data aggregation</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Network coding</subject><subject>Networks</subject><subject>Reliability</subject><subject>Remote sensors</subject><subject>Services and terminals of telecommunications</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Source coding</subject><subject>Switching and signalling</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Telemetry. 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Remote control</topic><topic>Theorems</topic><topic>Wastes</topic><topic>Wireless communication</topic><topic>Wireless networks</topic><topic>Wireless sensor networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Campobello, G.</creatorcontrib><creatorcontrib>Serrano, S.</creatorcontrib><creatorcontrib>Galluccio, L.</creatorcontrib><creatorcontrib>Palazzo, S.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Campobello, G.</au><au>Serrano, S.</au><au>Galluccio, L.</au><au>Palazzo, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Applying the Chinese Remainder Theorem to Data Aggregation in Wireless Sensor Networks</atitle><jtitle>IEEE communications letters</jtitle><stitle>COML</stitle><date>2013-05-01</date><risdate>2013</risdate><volume>17</volume><issue>5</issue><spage>1000</spage><epage>1003</epage><pages>1000-1003</pages><issn>1089-7798</issn><eissn>1558-2558</eissn><coden>ICLEF6</coden><abstract>In WSNs low complexity techniques for reducing the amount of bits flowing throughout the network are needed to decrease the bandwidth waste and increase the network lifetime. 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| subjects | Agglomeration Analytical models Applied sciences Chinese Remainder Theorem Coding Coding, codes Correlation data aggregation Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Network coding Networks Reliability Remote sensors Services and terminals of telecommunications Signal and communications theory Signal, noise Source coding Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Theorems Wastes Wireless communication Wireless networks Wireless sensor networks |
| title | Applying the Chinese Remainder Theorem to Data Aggregation in Wireless Sensor Networks |
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