Practical Approach on Communication Wireless Sensor Network Design for Engineering Education

H. Majlesein, Sujeet Bhatte, Zhengmao Ye
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引用次数: 1

Abstract

Wireless sensor networks are one of the foremost areas of research in computer networking. The increased interest in this new breed of networks has risen due to their immense potential in various areas of application ranging from tracking birds to sensing poisonous and potentially lethal gases in subways and bus stations, especially after the increased risks posed by such terrorist attacks. Due to the nature of most applications these networks require to consist of very small, energy efficient elements which are able to make the most of their resources. Many methods have been developed in order to reduce the amount of energy consumed in wireless sensor networks. This thesis examines one such method defined to help conserve energy while aggregating data. The method is examined with a standard wireless network standard, Pico radio and the amount of energy consumed in it is analyzed. The nature of pseudo stationary networks is discussed and then the role of a method like Data Funneling in conjunction with such networks is analyzed. An algorithm called Zone Efficient Localized Data Aggregation Algorithm is defined which undertakes the facts associated with pseudo stationary networks into consideration and uses the advantages of Data funneling in order to maximize energy conservation. It is the aim of this thesis to show how energy can be conserved by minimizing the number of nodes involved in communication in a pseudo stationary network.
面向工程教育的通信无线传感器网络设计的实用方法
无线传感器网络是计算机网络研究的前沿领域之一。人们对这种新型网络越来越感兴趣,因为它们在各种应用领域具有巨大潜力,从跟踪鸟类到探测地铁和公交车站的有毒和潜在致命气体,特别是在此类恐怖袭击造成的风险增加之后。由于大多数应用的性质,这些网络需要由非常小的、节能的元素组成,这些元素能够充分利用其资源。为了减少无线传感器网络中的能量消耗,已经开发了许多方法。本文研究了一种这样的方法,该方法被定义为在聚合数据时帮助节约能源。用标准无线网络标准Pico无线电对该方法进行了验证,并对其能耗进行了分析。讨论了伪平稳网络的性质,分析了数据漏斗等方法在伪平稳网络中的作用。提出了一种区域高效局部数据聚合算法,该算法考虑了伪平稳网络的相关事实,利用数据漏斗的优点,最大限度地节约了能量。本文的目的是展示如何通过最小化伪平稳网络中参与通信的节点数量来节省能量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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