Impact of Imperfect Channel State Information on the Performance of Wireless Sensor Networks

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The performance of Wireless Sensor Networks (WSN) is often assessed without paying close attention to the effects of channel state information recovery, which is assumed to be exactly known. This paper focuses on the effects of imperfect knowledge of the channel state information on a WSN whose sensors measure a target parameter and send it to a common fusion center by an amplify-and-forward technique. A baseline estimation rule, consisting in disregarding the presence of noise in the estimated channel gain, is considered.