Sensor Node Deployment Based on Probability Sensor Model and Quantum Particle Swarm Algorism
Xun Jian · Chongqing Shifan Daxue xuebao. Ziran kexue ban · 2014
In order to solve the node deployment problem in monitoring area,a mobile node deployment method based on probability sensor model and quantum particle swarm algorism was proposed. Firstly,the probability sensor model was improved by adding the energy factor,and then the node deployment model based on the improved probability sensor model considering the network coverage rate and energy. Finally,the optimal algorism was designed based on quantum particle algorism to get the Pareto solution. The simulation experiment shows the method in this paper can realize node deployment in monitoring area,and the network coverage can be realized evenly,and compared with the other methods,it has higher coverage rate and longer network life cycle. It has more priority.