Efficient decision fusion for cooperative wireless sensor networks

M. Al-Jarrah, A. Al-Dweik, M. Kalil, S. Ikki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

This work considers the problem of decision fusion in cooperative wireless sensor networks, where the decisions are transmitted to the fusion center via a number of relays. The likelihood ratio test is incorporated to derive the optimum fusion rule. Moreover, a suboptimal rule is derived to reduce the complexity of the optimum rule while providing reliable probability of error performance. A lower bound is derived to evaluate the error performance of the optimal rule while a closed-form analytical expression is derived for the error probability of the suboptimal rule. The derived analytical results are verified using Monte Carlo simulation under various operating conditions. The obtained results show that the reliability of the used sensors, number of sensors, and the number of relays are the main factors that determine the error performance at the fusion center. Moreover, the probability of error suffers from an error floor that appears at moderate and high signal-to-noise ratios, which is mostly caused by the number and the error performance of the sensors.

Original languageBritish English
Title of host publication2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538608722
DOIs
StatePublished - 28 Jun 2017
Event2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017 - Ras Al Khaimah, United Arab Emirates
Duration: 21 Nov 201723 Nov 2017

Publication series

Name2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017
Volume2018-January

Conference

Conference2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017
Country/TerritoryUnited Arab Emirates
CityRas Al Khaimah
Period21/11/1723/11/17

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