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  • 标题:Data Aggregation in Wireless Sensor Networks (WSN)
  • 本地全文:下载
  • 作者:Shrijana Pradhan ; Komal Prasad ; Kritie Chandra Gupta
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2015
  • 卷号:6
  • 期号:2
  • 页码:233-236
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Wireless sensor network consists of small, light weighted sensor nodes that are positioned in distant and dense areas to monitor and sense various conditions in the areas of interest. The sensor nodes arrange themselves into a network with the help of routing protocol. The use of sensors helps in increasing the energy efficiency but at the same time it also increases the data redundancy. Energy efficient data aggregation protocols are required for effective energy utilization resulting in the enhancement of the network lifetime. The protocols should be designed in an efficient way to make the best use of its limited available resources. The absence of data aggregation protocols may lead to transmission of redundant data which leads to the extra energy consumption. Various data aggregation techniques have been proposed in wireless sensor networks. This paper proposes data aggregation using the technique of mean, variance and standard deviation to decrease the data redundancy and reduction in the data packet size sensed by the sensor nodes being transmitted to the Base Station and also compares the simulation with the LEACH protocol.
  • 关键词:Wireless Sensor Network;Data Aggregation;Mean;Variance; Standard Deviation;LEACH;Multi-Hop;TDMA;Direct Transmission Protocol
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