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  • 标题:Performance Analysis of Deterministic Energy Efficient Clustering Protocol for WSN
  • 本地全文:下载
  • 作者:P. Samundiswary ; M. Raj Kumar Naik
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2013
  • 卷号:2
  • 期号:6
  • 页码:431-435
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Recently, there has been an increase in the use of ad hoc wireless sensor networks for monitoring environmental information (temperature, sound levels, humidity etc) across an entire physical space. In sensor networks, sensor nodes are used to gather local data and communicate with other nodes. Wireless sensor network (WSN) is built of several ―nodes‖ from a few to several hundreds or even thousands, where each node is connected to one (or sometimes several) sensors. The main challenging task in this network is routing. There are different types of protocols in WSN used to route the packets from source to destination. They are data centric, hierarchical, location–based and QoS aware. Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol is one of the best hierarchical protocols utilizing the probabilistic model to manage the energy consumption of WSN. However LEACH offers unguaranteed election of cluster head and election is not guaranteed to be optimal. In this paper, Deterministic Energy-efficient Clustering protocol (DEC), a deterministic model is developed to analyse the network performance. A deterministic energy-efficient clustering protocol promises a better election of cluster-heads and is dynamic, distributive, self-organizing and more energy efficient than the existing conventional LEACH protocols. Then the performance parameters such as number of rounds and energy dissipation of LEACH and DEC protocols are determined and analyzed by varying coverage area, packet length and nodes. The simulation is done by using MATLAB. The simulation results shows that DEC protocol has better performance than the existing LEACH protocol.
  • 关键词:Energy efficiency; DEC; LEACH; Wireless;Sensor Networks.
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