The Optimization of Wireless Sensor Networks in the Open-Pit Mine Slope Detection Base on Quantum Genetic Algorithms

The Wireless Sensor Networks (WSN) technology is employed in the open-pit mine slope detection system. When the open-pit mine slope is found abnormal, the WSN transmit data to the monitors timely in case of the unnecessary losses. Quantum genetic algorithm (QGA) is used in the multi-objective optimization problem of slope detection with WSN. It's for designing networking strategy of slope 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 QGA and guarantee maximum life span of the network.