A rendezvous-based data collection algorithm with mobile sink in wireless sensor networks

Leila Bagheri, M. Fooladi
{"title":"A rendezvous-based data collection algorithm with mobile sink in wireless sensor networks","authors":"Leila Bagheri, M. Fooladi","doi":"10.1109/ICCKE.2014.6993373","DOIUrl":null,"url":null,"abstract":"The main objective of wireless sensor networks is collecting data from ambient and transmitting achieved data to sink node. Limited energy resource for sensor node has posed so many challenges to these networks. The main constraint on wireless sensor networks is energy consumption which directly affects network lifetime. Lots of methods are proposed to improve these two parameters among which mobile sink method has shown considerable effects comparing to other presented methods. Indeed, using such method, several challenges of static sink methods are addressed such as funneling effect (non uniform energy consumption in the nodes located in the proximity of the sink node) and hot spot. As a result energy consumption decreases significantly which in turn prolongs network lifetime. In this paper, some nodes called rendezvous nodes are utilized to collect data. Source nodes transmit their sensed data to rendezvous nodes and sink node use traveling salesman algorithm and meet only these points in order to collect data. The use of Rendezvous Points allow the sink to collect amount of data at energy cost of multi-hop data communication at a time in the absence of traveling a long distance and thus extremely reduces data collection delay. If the virtual infrastructure of rendezvous-based protocol is properly designed, one can achieve scalability and energy efficiency. Simulation results, which are obtained in ns-2 environment, confirm the effectiveness of our method from energy saving and prolonged network lifetime in comparison with other methods.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCKE.2014.6993373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

The main objective of wireless sensor networks is collecting data from ambient and transmitting achieved data to sink node. Limited energy resource for sensor node has posed so many challenges to these networks. The main constraint on wireless sensor networks is energy consumption which directly affects network lifetime. Lots of methods are proposed to improve these two parameters among which mobile sink method has shown considerable effects comparing to other presented methods. Indeed, using such method, several challenges of static sink methods are addressed such as funneling effect (non uniform energy consumption in the nodes located in the proximity of the sink node) and hot spot. As a result energy consumption decreases significantly which in turn prolongs network lifetime. In this paper, some nodes called rendezvous nodes are utilized to collect data. Source nodes transmit their sensed data to rendezvous nodes and sink node use traveling salesman algorithm and meet only these points in order to collect data. The use of Rendezvous Points allow the sink to collect amount of data at energy cost of multi-hop data communication at a time in the absence of traveling a long distance and thus extremely reduces data collection delay. If the virtual infrastructure of rendezvous-based protocol is properly designed, one can achieve scalability and energy efficiency. Simulation results, which are obtained in ns-2 environment, confirm the effectiveness of our method from energy saving and prolonged network lifetime in comparison with other methods.
无线传感器网络中基于移动汇聚的数据采集算法
无线传感器网络的主要目标是从环境中采集数据并将采集到的数据传输到汇聚节点。传感器节点有限的能量资源给这些网络带来了诸多挑战。无线传感器网络的主要制约因素是能量消耗,它直接影响到网络的寿命。人们提出了许多改进这两个参数的方法,其中移动汇法与其他方法相比效果显著。实际上,使用这种方法解决了静态汇聚方法的几个挑战,如漏斗效应(位于汇聚节点附近的节点的能量消耗不均匀)和热点。因此,能耗显著降低,从而延长了网络的生命周期。在本文中,利用一些称为交会节点的节点来收集数据。源节点将其感知到的数据传输给交会节点,汇聚节点采用旅行推销员算法,只满足交会节点,采集数据。汇合点的使用允许sink以多跳数据通信的能量成本一次收集大量数据,而无需长途旅行,从而极大地减少了数据收集延迟。如果基于约定的虚拟基础设施设计得当,可以实现可扩展性和能源效率。在ns-2环境下的仿真结果与其他方法相比,从节能和延长网络寿命两方面验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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