Heterogeneous coverage method with multiple unmanned aerial vehicle assisted sink nodes

被引：0

作者：

Jin S. ^{[1
,2
]}

Jin Z. ^{[1
]}

机构：

[1] Electrical, Automation and Information Engineering College, Tianjin University, Tianjin

[2] Fire and Rescue Department, Bureau of Emergency Management of Tianjin, Tianjin

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：

Coverage; Heterogeneous; Multi-unmanned aerial vehicle (MUAV); Power law entropy (PLE); Quantum wolf pack evolution algorithm (QWPEA); Sink node; Wireless sensor network (WSN);

D O I：

10.3772/j.issn.1006-6748.2019.04.007

中图分类号：

学科分类号：

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. Copyright © by HIGH TECHNOLOGY LETTERS PRESS.

引用

页码：395 / 400

页数：5

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