基于仿真的运输物流领域无线传感器网络寿命重构方法实验研究

A. Jurenoks, L. Novickis
{"title":"基于仿真的运输物流领域无线传感器网络寿命重构方法实验研究","authors":"A. Jurenoks, L. Novickis","doi":"10.1109/SIMS.2016.36","DOIUrl":null,"url":null,"abstract":"Nowadays in cargo identification process are used different type of sensors (GSM, GPS, RFID and others) tocontrol and manage cargo data process. Existing technologies allow to identify container location on map or container Traffic load history. This technology has problems using it in limited area (board, train, container terminal) because of location services limitation. In case, if containers are located close to each other or placed one on one, location services will not give correct position of necessary item. Adaptive wireless sensor network can identify each with sensor equipped itemand display its location relative to other items in set position. In result adaptive wireless network in real live creates 3D items location map with from available sensors received information (item temperature, weight, radiation etc.). This article will discuss the simulation tool for the assessment of a wireless sensor network life circle that ensures the configuration of optimal network and projection/displaying of topology operations by using energy balancing methods.","PeriodicalId":308996,"journal":{"name":"2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simulation-Based Experimental Research of Wireless Sensor Network Life Expectancy Reconfiguration Method in Transport Logistics Area\",\"authors\":\"A. Jurenoks, L. Novickis\",\"doi\":\"10.1109/SIMS.2016.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays in cargo identification process are used different type of sensors (GSM, GPS, RFID and others) tocontrol and manage cargo data process. Existing technologies allow to identify container location on map or container Traffic load history. This technology has problems using it in limited area (board, train, container terminal) because of location services limitation. In case, if containers are located close to each other or placed one on one, location services will not give correct position of necessary item. Adaptive wireless sensor network can identify each with sensor equipped itemand display its location relative to other items in set position. In result adaptive wireless network in real live creates 3D items location map with from available sensors received information (item temperature, weight, radiation etc.). This article will discuss the simulation tool for the assessment of a wireless sensor network life circle that ensures the configuration of optimal network and projection/displaying of topology operations by using energy balancing methods.\",\"PeriodicalId\":308996,\"journal\":{\"name\":\"2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIMS.2016.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIMS.2016.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

目前,在货物识别过程中使用不同类型的传感器(GSM, GPS, RFID等)来控制和管理货物数据过程。现有技术允许在地图上识别集装箱位置或集装箱流量负载历史。由于地理位置服务的限制,该技术在有限的区域(飞机、火车、集装箱码头)使用时存在问题。如果集装箱彼此靠近或一个一个地放置,定位服务将无法给出所需物品的正确位置。自适应无线传感器网络可以识别每一个配备传感器的物品,并在设定的位置显示其相对于其他物品的位置。结果,自适应无线网络在现实生活中根据可用传感器接收到的信息(物品温度、重量、辐射等)创建3D物品位置地图。本文将讨论用于评估无线传感器网络生命周期的仿真工具,该工具通过使用能量平衡方法确保最佳网络的配置和拓扑操作的投影/显示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Simulation-Based Experimental Research of Wireless Sensor Network Life Expectancy Reconfiguration Method in Transport Logistics Area
Nowadays in cargo identification process are used different type of sensors (GSM, GPS, RFID and others) tocontrol and manage cargo data process. Existing technologies allow to identify container location on map or container Traffic load history. This technology has problems using it in limited area (board, train, container terminal) because of location services limitation. In case, if containers are located close to each other or placed one on one, location services will not give correct position of necessary item. Adaptive wireless sensor network can identify each with sensor equipped itemand display its location relative to other items in set position. In result adaptive wireless network in real live creates 3D items location map with from available sensors received information (item temperature, weight, radiation etc.). This article will discuss the simulation tool for the assessment of a wireless sensor network life circle that ensures the configuration of optimal network and projection/displaying of topology operations by using energy balancing methods.
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
期刊最新文献
Adaptive Input Voltage Prediction Method Based on ANN for Bidirectional DC-DC Converter A Distributed Intelligent Traffic System Using Ant Colony Optimization: A NetLogo Modeling Approach Are MOOCs Advancing as Predicted by IEEE CS 2022 Report? Time Series, Collaboration and Large Data Sets Enhancements of SPLAT-VO A Novel Circuit Topology for Underwater Wireless Power Transfer
×
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