Delay Optimal Event Detection on Ad Hoc Wireless Sensor Networks
The authors consider a small extent sensor network for event detection, in which nodes take samples periodically and then contend over a random access network to transmit their measurement packets to the fusion center. They consider two procedures at the fusion center to process the measurements. The Bayesian setting is assumed; i.e., the fusion center has a prior distribution on the change time. In the first procedure, the decision algorithm at the fusion center is network-oblivious and makes a decision only when a complete vector of measurements taken at a sampling instant is available.