Power Allocation for Distributed Detection in Wireless Sensor Networks Using Jensen Shannon Divergence

The problem of power allocation for distributed detection in a power constrained wireless sensor network is considered. The sensors are assumed to have independent observations and send their local decisions to a fusion center over multiple access channels. The Jensen-Shannon divergence between the distributions of the detection statistic under different hypotheses is used as a performance criterion. It is demonstrated that by applying the proposed measure power allocation is more efficient comparing to other criteria like mean square error or Jeffry divergence.