期刊论文

Localization Algorithm for Mine Wireless Sensor Network Based on Rigid Cluster and Chicken Swarm Optimization

中文

西南交通大学学报

0258-2724

2019

54

4

870-878

10.3969/j.issn.0258-2724.20180069

2018SK2055:湖南省重点研发计划资助项目 :中华人民共 hunan-0001-2018AQ:安全生产重特大事故防治关键技术科技项目 2016-JSKSSYS-04:金属矿山安全与健康国家重点实验室开放基金

本校为第一机构

针对矿井环境因素对无线传感器网络定位的制约,提出一种基于刚性分簇与鸡群优化的无线传感器网络定位算法(RCCSO).首先,以传感网络中均匀分布的锚点为簇头,基于刚性图理论提出分簇算法对整个网络进行分簇并保证每个簇都是全局刚性的;其次,利用鸡群算法对簇内进行相对定位,求得簇内最优相对位置解集;再次,不同簇以锚点为旋转中心旋转不同角度,并利用鸡群算法求出旋转角度的最优解集,进而求得全局节点最优位置;最后,仿真结果显示,与多维标度MDS-MAP算法及自适应局部区域循环搜索DALSA相比,所提算法在精度上有较明显的提高.

In order to adapt to the restrain resulting in environment factor of mine to localization of wireless sensor network, a novel localization algorithm based on rigid cluster and chicken swarm optimization (RCCSO) is proposed. First, the clusters are set up centring on the uniformly distributed anchor nodes, expand the clusters based on rigid theory and get several clusters which are all globally rigid. Second of it, optimize the best relative position of the nodes in the same cluster by chicken swarm optimization, and get the solution sets of rel...