Decentralized Average Consensus in Wireless Sensor Networks with Unreliable Communication Channels

Authors:
Steve Saed;Lingxi Li;Dongsoo S. Kim
Affiliations:
Indiana University-Purdue University Indianapolis, USA;Indiana University-Purdue University Indianapolis, USA;Indiana University-Purdue University Indianapolis, USA
Venue:
International Journal of Handheld Computing Research
Year:
2012

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Abstract

This study proposes and evaluates an average consensus scheme for wireless sensor networks. For this, two communication error models, the fading signal error model and approximated fading signal error model, are introduced and incorporated into the proposed decentralized average consensus scheme, especially adapted to the constraints of wireless sensor networks. A mathematical analysis is introduced to derive the approximated fading signal model from the fading signal model and different simulation scenarios are introduced and their results analyzed to evaluate the performance of the proposed scheme and its effectiveness in meeting the needs of wireless sensor networks.