Heterogeneous coverage method with multiple unmanned aerial vehicle assisted sink nodes

被引：0
|
作者：
金杉 [1 ,2 ]
Jin Zhigang [1 ]
机构：
[1] Electrical,Automation and Information Engineering College,Tianjin University
来源：
High Technology Letters | 2019年 / 25卷 / 04期
基金：
中国国家自然科学基金;
关键词：
wireless sensor network(WSN); coverage; multi-unmanned aerial vehicle(MUAV); heterogeneous; sink node; quantum wolf pack evolution algorithm(QWPEA); power law entropy(PLE);
D O I：
暂无
中图分类号：
V279 [无人驾驶飞机]; TN929.5 [移动通信]; TP212.9 [传感器的应用];
学科分类号：
1111 ;
摘要：
A heterogeneous coverage method with multiple unmanned aerial vehicle assisted sink nodes(MUAVSs) for multi-objective optimization problem(MOP) is proposed, which is based on quantum wolf pack evolution algorithm(QWPEA) and power law entropy(PLE) theory. The method is composed of preset move and autonomous coordination stages for satisfying non-repeated coverage, connectedness, and energy balance of sink layer critical requirements, which is actualized to cover sensors layer in large-scale outside wireless sensor networks(WSNs). Simulation results show that the performance of the proposed technique is better than the existing related coverage technique.
引用
收藏
页码：395 / 400
页数：6
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