Serial Distributed Detection in Multihop Multirelay Wireless Sensor Networks With End–Edge–Cloud Orchestration Under Graph-Powered Computing

Abstract

The decision fusion rule and global optimality is studied for serial distributed detection in multihop multirelay wireless sensor networks (WSNs) under the end–edge–cloud orchestration. In particular, a multihop relay node serial distributed detection configuration is considered. Then, the optimal decision fusion rule is derived, and the detection probability and false alarm probability of the distributed detection system are given. Third, the suboptimal decision fusion rule under different conditions for the multihop relay channel is represented. Furthermore, in order to solve the high energy consumption and bandwidth limitation problems of WSNs, we consider the global optimization for serial distributed detection systems and obtain the sufficient condition. Finally, under different communication conditions, the detection performance of the system has been kept optimal when we increase the number of sensors in series. We validate the conclusions based on the numerical results. The sufficient condition for optimality detection of serial distributed detection multirelay sensor network system is satisfied then the system can achieve optimal detection performance.