A Novel Approach for Power Control and Error Minimization in Parallel Fusion Sensor Networks

摘要

The detection problem consists in making a decision about some state of an environment or process based on observations, which only provide an uncertain representation of reality. The entity that conducts the observation by converting energy from the observed process into electrical energy is called a sensor. In this paper, we present an opportunistic power assignment strategy for distributed detection in parallel fusion wireless sensor networks (WSNs), considering a Nakagami-m fading model for the communication channel and time-hopping (TH) UWB for the transmitter circuit of the sensor nodes. In a parallel fusion WSN, local decisions are made by local sensors and transmitted through wireless channels to a fusion center. The fusion center processes the information and makes the final decision. Simulation results are provided for the global probability of detection error and relative performance gain to evaluate the efficiency of the proposed power assignment strategy in different fading environments.