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

Q4 Business, Management and Accounting
M. Sumathi, G. Anitha
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引用次数: 6

摘要

无线传感器网络(WSN)是一个新兴领域,被广泛应用于实时监控系统的开发。山体滑坡是造成生命、人类住区、农业、林地损失的主要原因,并导致通信线路的破坏。本文提出了一种新的滑坡监测系统,该系统通过避免路由协议中的链路故障来最大化传感器节点的生存时间。具有传感器节点的基于集群的路由协议具有数据采集、数据存储、数据处理和无线数据传输的功能。然后,使用模糊数据挖掘技术对收集到的数据进行聚合,使网络区域内所有传感器节点的寿命最大化。通过NS-2仿真得到的结果表明,所提出的算法在网络寿命、传感器节点寿命、数据传输和能耗等方面都优于其他滑坡监测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
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.
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