A distributed solution to estimation problems in wireless sensor networks leveraging broadcast communication

Simone Del Favero, Federico Librino, Francesco Zorzi, Albert F. Harris, Michele Zorzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The wide variety of applications for wireless sensor networks combined with the energy constrained nature of sensor nodes has motivated research on algorithms for in-network estimation of measured physical quantities to reduce the amount of data that needs to be transmitted to the sink. The main contribution of this work is a distributed estimation solution that leverages the broadcast nature of the wireless channel in sensor networks. We present a data dissemination protocol, called Kalsip, which is designed to support the implementation of our distributed estimation algorithm based on Kalman filters. We show, through analysis and simulation, that our protocol provides accurate estimation of physical properties while minimizing the number of transmissions needed and requiring nodes to only overhear estimates broadcast by their neighbors.

Original languageEnglish (US)
Title of host publicationWONS 2009 - 6th International Conference on Wireless On-demand Network Systems and Services
Pages127-134
Number of pages8
DOIs
StatePublished - Apr 23 2009
Externally publishedYes
Event6th International Conference on Wireless On-demand Network Systems and Services, WONS 2009 - Snowbird, UT, United States
Duration: Feb 2 2009Feb 4 2009

Publication series

NameWONS 2009 - 6th International Conference on Wireless On-demand Network Systems and Services

Conference

Conference6th International Conference on Wireless On-demand Network Systems and Services, WONS 2009
CountryUnited States
CitySnowbird, UT
Period2/2/092/4/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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