摘要
受生物群体聚集机理的启发,运用势场理论与牛顿——拉夫逊迭代技术,借助具有碰撞规避功能的有限感知群体动力学模型,实现了动态未知环境下无线传感器网络分布式节点的编队部署及其在执行区域内的编队覆盖搜索,丰富了已有的覆盖搜索控制算法。以尽可能少的工作节点达到了网络的连通性覆盖要求,原理简单,节能性好,实用,仿真结果验证了该算法的有效性。
Based on the inspiration to the potential interior operational principle of aggregation from biology, by using artificial potential functions namely APF and Newton-Raphson iteration update rule techniques, by means of the range limit perceived swarm dynamic model with colli- sion-free function, thus realized the automatic distributed sensor node formation deployment problem in wireless sensor networks namely WSN in dynamic unknown environment and the sen- sor node formation coverage search within the implementation region, further enriched existing coverage search control algorithm. While the requirement of both the network coverage and con- nectivity is satisfied with the fewest possible sensor working nodes. The algorithm has plain prin- ciple, energy saving, and practical. The simulation results have validated its effectiveness.
出处
《复杂系统与复杂性科学》
EI
CSCD
北大核心
2013年第3期37-44,共8页
Complex Systems and Complexity Science
基金
国家自然科学基金(61165016
60975074)
教育部'春晖计划'合作科研项目(Z2009-1-81003)
青海大学高层次人才项目(2012-QGC-10)
山西省自然科学基金项目(2013011019-4)
太原科技大学同洲电子科技创新基金项目(TZ201304)
关键词
人工势场
无线传感器网络
有限感知群体
编队
节点部署
覆盖搜索
artificial potential field（APF）
wireless sensor network（WSN）
range limit perceivedgroup
formation
deployment
coverage search
