Using multi-agent geo-simulation techniques for intelligent sensor web management

M. Mekni, B. Moulin
{"title":"Using multi-agent geo-simulation techniques for intelligent sensor web management","authors":"M. Mekni, B. Moulin","doi":"10.1145/1456223.1456358","DOIUrl":null,"url":null,"abstract":"Sensor webs consist of a large collection of small nodes providing collaborative and distributed sensing ability in unpredictable environments. Nodes composing such sensor webs, are characterized by their resource restrictions, especially the energy, the processing, and the communication capacities. These nodes are also in constant interaction with each other and with their geographic environment. An efficient system aiming at managing sensor webs must take into account the evolution of the sensor nodes as well as the geographic environment. Such a management process involves coping with a variety of dynamic variables including the nodes characteristics, the environment properties as well as the sensed data. In this context, Multi-Agent Geo-Simulation (MAGS) provides a flexible approach that can be used to easily analyse complex systems such as sensor webs in large scale georeferenced environments. The purpose of this paper is to present SensorMAGS, an agent-based geo-simulation system which manages sensor nodes in virtual geographic environments. This system is applied in the context of a water resource monitoring project.","PeriodicalId":309453,"journal":{"name":"International Conference on Soft Computing as Transdisciplinary Science and Technology","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Soft Computing as Transdisciplinary Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1456223.1456358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Sensor webs consist of a large collection of small nodes providing collaborative and distributed sensing ability in unpredictable environments. Nodes composing such sensor webs, are characterized by their resource restrictions, especially the energy, the processing, and the communication capacities. These nodes are also in constant interaction with each other and with their geographic environment. An efficient system aiming at managing sensor webs must take into account the evolution of the sensor nodes as well as the geographic environment. Such a management process involves coping with a variety of dynamic variables including the nodes characteristics, the environment properties as well as the sensed data. In this context, Multi-Agent Geo-Simulation (MAGS) provides a flexible approach that can be used to easily analyse complex systems such as sensor webs in large scale georeferenced environments. The purpose of this paper is to present SensorMAGS, an agent-based geo-simulation system which manages sensor nodes in virtual geographic environments. This system is applied in the context of a water resource monitoring project.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于多智能体地理模拟技术的智能传感器网络管理
传感器网络由大量小节点组成,在不可预测的环境中提供协作和分布式感知能力。组成传感器网络的节点受资源限制,特别是能量、处理能力和通信能力的限制。这些节点也在不断地相互作用,并与他们的地理环境。一个有效的传感器网络管理系统必须考虑传感器节点的演化和地理环境。这样的管理过程涉及处理各种动态变量,包括节点特征、环境属性以及感知数据。在这种情况下,Multi-Agent Geo-Simulation (MAGS)提供了一种灵活的方法,可以用来轻松地分析复杂的系统,如大规模地理参考环境中的传感器网络。本文的目的是提出一个基于agent的地理仿真系统SensorMAGS,用于管理虚拟地理环境中的传感器节点。该系统应用于某水资源监测项目。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Novel cache management strategy for semantic caching in mobile environment Evolutionary multiobjective optimization and multiobjective fuzzy system design Network security simulation and evaluation A software based approach for autonomous projectile attitude and position estimation Fatigue level estimation of bill based on feature-selected acoustic energy pattern by using supervised SOM
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1