Scheduling with Collaborative Mobile Chargers Inter-WSNs

Mobile charge problem describes a fleet of mobile chargers delivers energy to the sensor nodes periodically in wireless sensor networks (WSNs). In it, every sensor node has an asynchronous rest working time during a charging round. We consider the asynchronous rest working time and give the lower an...

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Main Authors: Jidong Zhao, Xili Dai, Xiaomin Wang
Format: Article
Language:English
Published: Wiley 2015-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/921397
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author Jidong Zhao
Xili Dai
Xiaomin Wang
author_facet Jidong Zhao
Xili Dai
Xiaomin Wang
author_sort Jidong Zhao
collection DOAJ
description Mobile charge problem describes a fleet of mobile chargers delivers energy to the sensor nodes periodically in wireless sensor networks (WSNs). In it, every sensor node has an asynchronous rest working time during a charging round. We consider the asynchronous rest working time and give the lower and upper bounds of the recharging cycle by the suitable total serving rate, to give the definition of time windows for the sensor nodes. In this paper, we model this problem in 2-dimensional WSNs as a vehicle routing problem with time windows (VRPTW). For solving the problem of multiple mobile chargers with different routing paths, we propose to transform the multiple routing problems into a single routing problem, by duplicating the sink into multiple virtual sinks. To optimize the routing path, we propose a local optimization algorithm by considering the collaborative charging among the mobile chargers. Through the simulations, we compare our proposed algorithm with the H η C l u s t e r C h a r g i n g ( β ) algorithm. We demonstrate the advantages of our collaborative scheduling algorithm in this problem.
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institution Kabale University
issn 1550-1477
language English
publishDate 2015-05-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-80c8683092b64338bc1cb0b6603628b42025-02-03T05:55:24ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-05-011110.1155/2015/921397921397Scheduling with Collaborative Mobile Chargers Inter-WSNsJidong ZhaoXili DaiXiaomin WangMobile charge problem describes a fleet of mobile chargers delivers energy to the sensor nodes periodically in wireless sensor networks (WSNs). In it, every sensor node has an asynchronous rest working time during a charging round. We consider the asynchronous rest working time and give the lower and upper bounds of the recharging cycle by the suitable total serving rate, to give the definition of time windows for the sensor nodes. In this paper, we model this problem in 2-dimensional WSNs as a vehicle routing problem with time windows (VRPTW). For solving the problem of multiple mobile chargers with different routing paths, we propose to transform the multiple routing problems into a single routing problem, by duplicating the sink into multiple virtual sinks. To optimize the routing path, we propose a local optimization algorithm by considering the collaborative charging among the mobile chargers. Through the simulations, we compare our proposed algorithm with the H η C l u s t e r C h a r g i n g ( β ) algorithm. We demonstrate the advantages of our collaborative scheduling algorithm in this problem.https://doi.org/10.1155/2015/921397
spellingShingle Jidong Zhao
Xili Dai
Xiaomin Wang
Scheduling with Collaborative Mobile Chargers Inter-WSNs
International Journal of Distributed Sensor Networks
title Scheduling with Collaborative Mobile Chargers Inter-WSNs
title_full Scheduling with Collaborative Mobile Chargers Inter-WSNs
title_fullStr Scheduling with Collaborative Mobile Chargers Inter-WSNs
title_full_unstemmed Scheduling with Collaborative Mobile Chargers Inter-WSNs
title_short Scheduling with Collaborative Mobile Chargers Inter-WSNs
title_sort scheduling with collaborative mobile chargers inter wsns
url https://doi.org/10.1155/2015/921397
work_keys_str_mv AT jidongzhao schedulingwithcollaborativemobilechargersinterwsns
AT xilidai schedulingwithcollaborativemobilechargersinterwsns
AT xiaominwang schedulingwithcollaborativemobilechargersinterwsns