移动传感器网络非均匀事件区域节点部署优化

针对移动传感器网络中热点事件监测场景,研究传感器节点的快速优化部署策略.首先假定事件随机产生,针对事件优先模型及节点感知误差函数推导基于Voronoi剖分时感知误差最小,然后定义节点有效覆盖权值,证明了当所有节点有效覆盖权值一致时,整个网络覆盖效能将达到最大.结合虚拟力及节点有效覆盖权提出一种分布式优化部署算法SDOA(Sparse Deployment Optimization Algorithm),其在保证覆盖能效最大化时保证网络连通性.最后仿真比较了本文提出部署策略能够快速有效实现对热点区域部署,并保证较高的覆盖效能.

Deployment Optimization in Non-Uniform Event Area of Mobile Sensor Networks

This paper focuses on sensor nodes rapid deployment strategy for event monitoring scenario in mobile sensor networks.Firstly,we deduced conclusion that sense error of Voronoi subdivision is minimum based on nodes error model.Then the node effective cover weight is defined by priority function of event area.We proved that coverage effectiveness is maximization when all of nodes coverage weight are identical.A node deployed algorithm SDOA(Sparse Deployment Optimization Algorithm) is presented.It combined coverage weight and virtual force.It guaranteed network connectivity during algorithm running.Finally,we use simulations to show that our deployment algorithm is accurate and effective and with more coverage effectiveness.