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A Path Planning Method for Chargeable Sweep Coverage With Multiple Charging Stations

delete2024-01-01
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OA
AI
D
Dieyan Liang
B
Baojian Feng *
X
Xuefeng Liao
DOI:10.1109/ACCESS.2024.3373543delete
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摘要

摘要

En 中文
The energy limit would abbreviate the lifetime of sweep coverage network. Wireless charging technology might be the best way to extend the lifetime of sweep coverage networks, as sensors are required to constantly move to ensure periodic target coverage. This paper studies the sweep coverage facilitated by rechargeable sensors, which persistently navigate between target nodes and charging stations to fulfill the periodic coverage demands of the targets while ensuring they return to the charging stations before their energy runs out. This paper firstly proposes a general definition of the Chargeable Sweep Coverage (CSC) problem, and studies the CSC problem by examining various constraints. We also propose one CSC problem subject to a special constraint where the sensors must return to their initial charging stations to recharge. The CSC problem under constrain is also NP-hard. In this paper, the problem is modeled as Maximum nodes inclusion problem with unbound candidate paths. We discuss the effective paths of the problems by situation, bound the candidate paths to certain lengths using discretization technology, and employ existing approximation algorithms to get the approximation solutions. When the charging period is greater than the sweep period, we get a 2/5 -approximation algorithm. For the opposite, we get 1/6 -approximation algorithms for it. The validity and scalability of the proposed algorithms are proved by theoretical proofs and experimental simulations.
Keyword:
Sensors
Charging stations
Approximation algorithms
Wireless sensor networks
Routing
Inductive charging
Batteries
Path planning
Scalability
mobile sensors
sweep coverage
approximation algorithm
chargeable

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

H
Huizhou University
学者数:
895
论文数: 848
被引数: 1.4K
W
Wenzhou University of Technology
学者数:
476
论文数: 455
被引数: 367
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