Optimization Simulation of Sensor Node Deployment Coverage under Optimal Node Search
During the deployment of sensor nodes,node density affects node coverage.Too low density will lead to insufficient coverage and fail to capture key information.Too high a density will waste resources and increase costs.Therefore,a sensor node deployment coverage optimization method based on optimal node search is proposed.The probabilistic sensing attenuation model of sensor nodes is established to obtain the application environment of sensor nodes in the sensor network.Through the global sensor network redundant node hibernation algorithm,the redundant node hibernation operation is performed to reduce the network energy consumption.The coverage rate of sensor net-work is calculated,and the maximum coverage rate of sensor network and the minimum utilization rate of sensor node are used as the objective function of coverage optimization of sensor node deployment.Fish swarm algorithm and parti-cle swarm algorithm are introduced to solve the problem,and the optimal sensor node position is iteratively optimized simultaneously,so as to achieve the optimization of sensor node deployment coverage under the optimal node search.The experimental results show that the proposed method has high network coverage,can effectively reduce node energy consumption,short running time,and enhances network life.
Deployment of sensor nodesRedundant nodesFish swarm algorithmParticle swarm optimizationCoverage optimization
NETL
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