扫描故障覆盖

Amit Kumar Dhar, B. Gorain, Madhuri Mahawar
{"title":"扫描故障覆盖","authors":"Amit Kumar Dhar, B. Gorain, Madhuri Mahawar","doi":"10.1109/RAIT57693.2023.10126982","DOIUrl":null,"url":null,"abstract":"Time variant coverage, called sweep coverage in wireless sensor networks has got attention from various re-searchers in recent time. In this problem, a set of mobile sensors are collectively monitoring certain area of interest (AoI). In various applications periodic monitoring of the AoI is sufficient. For a given time period, the objective of the sweep coverage problem is to find minimum number of mobile sensors so that the periodic monitoring can be guaranteed. This problem has been studied by various researchers in the context of point, area and barrier coverage problems. The sweep coverage problem on a graph is studied in [11]. In this problem, for a given input graph, minimum number of mobile sensors must be deployed such a way that all nodes of the graph must be visited by at least one mobile sensor. The sweep coverage problem is NP-hard and can not be approximated within a factor of 2 [16]. In this paper, we propose a fault-tolerant sweep coverage algorithm. For a given integer, using our proposed algorithm, the non-faulty sensors adjusted their movement and guarantees sweep coverage of all the nodes of an undirected weighted graph if at most sensors becomes faulty.","PeriodicalId":281845,"journal":{"name":"2023 5th International Conference on Recent Advances in Information Technology (RAIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sweep Coverage with Faults\",\"authors\":\"Amit Kumar Dhar, B. Gorain, Madhuri Mahawar\",\"doi\":\"10.1109/RAIT57693.2023.10126982\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time variant coverage, called sweep coverage in wireless sensor networks has got attention from various re-searchers in recent time. In this problem, a set of mobile sensors are collectively monitoring certain area of interest (AoI). In various applications periodic monitoring of the AoI is sufficient. For a given time period, the objective of the sweep coverage problem is to find minimum number of mobile sensors so that the periodic monitoring can be guaranteed. This problem has been studied by various researchers in the context of point, area and barrier coverage problems. The sweep coverage problem on a graph is studied in [11]. In this problem, for a given input graph, minimum number of mobile sensors must be deployed such a way that all nodes of the graph must be visited by at least one mobile sensor. The sweep coverage problem is NP-hard and can not be approximated within a factor of 2 [16]. In this paper, we propose a fault-tolerant sweep coverage algorithm. For a given integer, using our proposed algorithm, the non-faulty sensors adjusted their movement and guarantees sweep coverage of all the nodes of an undirected weighted graph if at most sensors becomes faulty.\",\"PeriodicalId\":281845,\"journal\":{\"name\":\"2023 5th International Conference on Recent Advances in Information Technology (RAIT)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 5th International Conference on Recent Advances in Information Technology (RAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAIT57693.2023.10126982\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th International Conference on Recent Advances in Information Technology (RAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAIT57693.2023.10126982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

无线传感器网络中的时变覆盖,即扫描覆盖,近年来受到了各种研究者的关注。在这个问题中,一组移动传感器共同监测特定的感兴趣区域(AoI)。在各种应用中,定期监测AoI就足够了。对于给定的时间段,扫描覆盖问题的目标是找到最小数量的移动传感器,以保证周期性监测。这一问题已经在点覆盖、面积覆盖和屏障覆盖的背景下得到了广泛的研究。在[11]中研究了图上的扫描覆盖问题。在这个问题中,对于给定的输入图,必须部署最少数量的移动传感器,使得图的所有节点必须被至少一个移动传感器访问。扫描覆盖问题是NP-hard问题,不能在2 b[16]的系数内近似。本文提出了一种容错扫描覆盖算法。对于给定的整数,使用我们提出的算法,非故障传感器调整它们的运动,并保证无向加权图的所有节点的扫描覆盖,如果大多数传感器出现故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sweep Coverage with Faults
Time variant coverage, called sweep coverage in wireless sensor networks has got attention from various re-searchers in recent time. In this problem, a set of mobile sensors are collectively monitoring certain area of interest (AoI). In various applications periodic monitoring of the AoI is sufficient. For a given time period, the objective of the sweep coverage problem is to find minimum number of mobile sensors so that the periodic monitoring can be guaranteed. This problem has been studied by various researchers in the context of point, area and barrier coverage problems. The sweep coverage problem on a graph is studied in [11]. In this problem, for a given input graph, minimum number of mobile sensors must be deployed such a way that all nodes of the graph must be visited by at least one mobile sensor. The sweep coverage problem is NP-hard and can not be approximated within a factor of 2 [16]. In this paper, we propose a fault-tolerant sweep coverage algorithm. For a given integer, using our proposed algorithm, the non-faulty sensors adjusted their movement and guarantees sweep coverage of all the nodes of an undirected weighted graph if at most sensors becomes faulty.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信