Adaptive design of wireless sensor networks based on hybrid immune particle swarm optimization

There are many unpredictable factors in physical environment, detecting targets and wireless sensor networks. Adjusting and Optimizing is required for wireless sensor network application. A large supermarket application of sensor networks is used as an example. We present an adaptive cluster structure with which hybrid immune particle swarm optimization is used for network topology controlling and network coverage optimization. Efficient operators are designed based on parallel bit operation in the work. This method prolongs network service life effectively.