最佳节点找寻下传感节点优化部署覆盖仿真

Optimization Simulation of Sensor Node Deployment Coverage under Optimal Node Search

在传感节点部署过程中,节点的密度影响节点覆盖,密度过低会导致覆盖不足,无法捕捉到关键信息;密度过高则会浪费资源和增加成本。因此,提出最佳节点找寻下传感节点部署覆盖优化方法。建立传感节点概率感知衰减模型,获取传感网络中传感节点的应用环境。通过全局传感网络冗余节点休眠算法,对冗余节点执行休眠操作,以此减少网络能耗;计算传感网络覆盖率,并将传感网络最大覆盖率和最小传感节点利用率作为传感节点部署覆盖优化目标函数;引入鱼群算法和粒子群算法求解,同步对最佳传感节点位置迭代寻优,以此实现最佳节点找寻下传感节点部署覆盖优化。实验结果表明,所提方法的网络覆盖率高,能够有效降低节点能耗,且运行时间短,增强了网络寿命。

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.