Polynomial regression for data gathering in environmental monitoring applications

Guojun Wang, Jiannong Cao, Huan Wang, Minyi Guo

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

21 Citations (Scopus)

Abstract

How to prolong the lifetime of wireless sensor networks is one of the most important design issues. In order to tackle this issue, we propose an energy-efficient polynomial regression-based data gathering algorithm in environmental monitoring applications. Each sensor node in the network fits a regression function with its sensed data in most recent rounds, and sends coefficients of the regression function and some related parameters to the sink node instead of sending the sensed data. Theoretical analysis and simulation studies show that the proposed algorithm can greatly reduce data transmissions among the sensor nodes, with significant energy savings on the sensor nodes and thus extending lifetime of the entire network.
Original languageEnglish
Title of host publicationIEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings
Pages1307-1311
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2007
Event50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007 - Washington, DC, United States
Duration: 26 Nov 200730 Nov 2007

Conference

Conference50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007
CountryUnited States
CityWashington, DC
Period26/11/0730/11/07

Keywords

  • Data gathering
  • Energy efficiency
  • Environmental monitoring
  • Regression
  • Wireless sensor networks

ASJC Scopus subject areas

  • Engineering(all)

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