Design of Wireless Sensor Networks in prevention of combustion on coal gangue based on pseudo-parallel genetic algorithms

Wireless Sensor Network (WSN) technology is employed in monitoring system to prevent the spontaneous combustion of coal gangue. A temperature monitoring system was designed, which monitor environment of gangue and prevent the occurrence of spontaneous combustion networking strategy through the collection of temperature in real-time or fix time. According to the energy-constrained problem of WSN, pseudo-parallel genetic algorithms (PPGA) is used in the multi-objective optimization problem of coal gangue detection with WSN. It's for designing networking strategy of coal gangue detection system. Appropriate encoding mechanism is worked out. Combining with various important parameters, the fitness function is established. Simulation results show: Energy management is optimized with the WSN base on PPGA and guarantee maximum life span of the network.