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

Authors: M.S. Sumathi; G.S. Anitha

Addresses: TCE Department, BMSIT, Bangalore, India ' Department of EEE, RVCE, Bangalore, India

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.

Keywords: rain gauge; moisture sensor; pore pressure sensor; clustering; fuzzy data mining; network simulator; NS-2.

DOI: 10.1504/IJMNDI.2018.093701

International Journal of Mobile Network Design and Innovation, 2018 Vol.8 No.3, pp.179 - 193

Received: 31 May 2017
Accepted: 22 Aug 2017
Published online: 01 Aug 2018 *

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