覆盖控制技术研究无线传感器网络空间资源的优化分配,以满足用户的感知需求.覆盖节点的连通性是覆盖研究的关键问题,决定了感知数据能否最终传递给用户.已知的研究并未涉及目标覆盖确定部署应用的连通性问题.因此,分析了目标覆盖中的连通性问题,首次提出针对目标全覆盖与维护节点集连通性关系的连通临界条件;针对连通性条件无法满足的情况。提出了一个维护连通性的优化部署方案.该方案首先建立连通子集间的最小生成树,构造连通候选集;然后,基于连通候选集。利用遗传算法得到优化候选位集.仿真实验表明,提出的优化部署方案既实现了对目标集的全覆盖,又维护了连通性,并使候选位集的元素个数更少.
The Coverage Control Technology mainly concerned about optimal allocation of node resources to meet users' sensing demand. The connectivity of node set is a key problem which determines the data can be passed to users through base station. The research on connectivity problem of deterministic deployment for target coverage is rare, so, this paper introduces the connectivity issue for target coverage. And the connectivity critical condition for supporting target coverage and node set connectivity is firstly proposed. When the connectivity critical condition is not met, this paper gives an optimal deterministic deployment scheme to maintain node set connectivity. In this scheme, the minimum spanning tree connected node subset is established, and connected candidate set is constructed. Based on connected candidate set, the optimize candidate set is got by using the genetic algorithm. Simulation results show that the optimal deployment scheme can maintain nodes connectivity based on target full coverage, and make the less candidates set' element number.