{"title":"基于模糊数据挖掘技术的高效节能无线传感器网络用于滑坡实时监测系统","authors":"M. Sumathi, G. Anitha","doi":"10.1504/IJMNDI.2018.10014841","DOIUrl":null,"url":null,"abstract":"Wireless sensor network (WSN) is one of the emerging areas which are extensively being used for development of real time monitoring systems. Landslides are the major cause of loss of life, human settlements, agriculture, forestland, and lead to damage of communication routes. In this paper, we propose new landslide monitoring system with maximising the life time of sensor nodes by avoiding link failure in routing protocol. The cluster-based routing protocol with the sensor nodes is capable of data acquisition, data storage, data processing, and wireless data transmission. Then, collected data's are aggregated using fuzzy data mining technique which maximise lifetime of all sensor nodes in the network area. The proposed approach is implemented and results are obtained through NS-2 simulation shows that the proposed algorithm performs better than other landslide monitoring systems in terms of network life time, sensor node life time, data transmission and energy consumption.","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"30 1","pages":"179"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Energy efficient wireless sensor network with efficient data handling for real time landslide monitoring system using fuzzy data mining technique\",\"authors\":\"M. Sumathi, G. Anitha\",\"doi\":\"10.1504/IJMNDI.2018.10014841\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless sensor network (WSN) is one of the emerging areas which are extensively being used for development of real time monitoring systems. Landslides are the major cause of loss of life, human settlements, agriculture, forestland, and lead to damage of communication routes. In this paper, we propose new landslide monitoring system with maximising the life time of sensor nodes by avoiding link failure in routing protocol. The cluster-based routing protocol with the sensor nodes is capable of data acquisition, data storage, data processing, and wireless data transmission. Then, collected data's are aggregated using fuzzy data mining technique which maximise lifetime of all sensor nodes in the network area. The proposed approach is implemented and results are obtained through NS-2 simulation shows that the proposed algorithm performs better than other landslide monitoring systems in terms of network life time, sensor node life time, data transmission and energy consumption.\",\"PeriodicalId\":35022,\"journal\":{\"name\":\"International Journal of Mobile Network Design and Innovation\",\"volume\":\"30 1\",\"pages\":\"179\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mobile Network Design and Innovation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJMNDI.2018.10014841\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mobile Network Design and Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMNDI.2018.10014841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
Energy efficient wireless sensor network with efficient data handling for real time landslide monitoring system using fuzzy data mining technique
Wireless sensor network (WSN) is one of the emerging areas which are extensively being used for development of real time monitoring systems. Landslides are the major cause of loss of life, human settlements, agriculture, forestland, and lead to damage of communication routes. In this paper, we propose new landslide monitoring system with maximising the life time of sensor nodes by avoiding link failure in routing protocol. The cluster-based routing protocol with the sensor nodes is capable of data acquisition, data storage, data processing, and wireless data transmission. Then, collected data's are aggregated using fuzzy data mining technique which maximise lifetime of all sensor nodes in the network area. The proposed approach is implemented and results are obtained through NS-2 simulation shows that the proposed algorithm performs better than other landslide monitoring systems in terms of network life time, sensor node life time, data transmission and energy consumption.
期刊介绍:
The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.