DISTRIBUTED ESTIMATION: DO NOT TRUST GOSSIPS

Distributed estimation and detection is of interest for those situations for which the sensor net must achieve an agreement by exchanging information without resorting to the use of an external fusion center. In this paper we deal with the distributed estimation of a parameter for both static and time-varying cases, for which it is important to have similar estimates as accurate as possible. The cooperation is performed in a distributed way to guarantee scalability and robustness to failures, and it is designed to reduce the detrimental effects of the channel noise on the sensor exchanges.