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

机译:采用模糊数据挖掘技术的实时滑坡监测系统中具有高效数据处理能力的高能效无线传感器网络

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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.
机译:无线传感器网络(WSN)是新兴领域之一,被广泛用于实时监控系统的开发。滑坡是造成生命损失,人类住区,农业,林地的主要原因,并导致通信线路损坏。在本文中,我们提出了一种新的滑坡监测系统,该系统可以通过避免路由协议中的链路故障来最大化传感器节点的使用寿命。具有传感器节点的基于群集的路由协议能够进行数据采集,数据存储,数据处理和无线数据传输。然后,使用模糊数据挖掘技术聚合收集的数据,该技术可最大化网络区域中所有传感器节点的寿命。该方法得到了实现,并且通过NS-2仿真获得的结果表明,该算法在网络寿命,传感器节点寿命,数据传输和能耗等方面均优于其他滑坡监测系统。

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