Energy efficient wireless sensor network with efficient data handling for real time landslide monitoring system using fuzzy data mining technique

被引:0
|
作者
Sumathi M.S. [1 ]
Anitha G.S. [2 ]
机构
[1] TCE Department, BMSIT, Bangalore
[2] Department of EEE, RVCE, Bangalore
关键词
Clustering; Fuzzy data mining; Moisture sensor; Network simulator; NS-2; Pore pressure sensor; Rain gauge;
D O I
10.1504/IJMNDI.2018.093701
中图分类号
学科分类号
摘要
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. Copyright © 2018 Inderscience Enterprises Ltd.
引用
收藏
页码:179 / 193
页数:14
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