{"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":null,"pages":null},"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\":null,\"pages\":null},\"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}
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.