A study on data aggregation scheme over wireless sensor network

K. Geethapriya, I. Kala, S. Karthik
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引用次数: 1

Abstract

Nowadays, wireless sensor networks (WSNs) seen as an emerging technology due to its multi serviceable, low cost and low power sensor nodes, that are deployed randomly and densely over a network to collect a useful information from there. Since the nodes are deployed densely, makes it hard to recharge or replace their batteries. Basically, the node senses the data and transmit it to a base station. The node, which is nearer to the base station may deplete their energy quickly than other nodes due to more traffic relaying on it. Furthermore the nodes may sense and transmit the redundant information to other nodes, which leads to energy wastage. Due to these types of issues, it is difficult to design a data aggregation scheme with optimal energy consumption across the sensing area to enhance the network lifetime. In this paper, a detailed study has been made about the available data aggregation techniques in the form of taxonomy.
基于无线传感器网络的数据聚合方案研究
目前,无线传感器网络(wsn)由于其多服务、低成本和低功耗的传感器节点而被视为一种新兴技术,这些传感器节点在网络上随机、密集地部署,从那里收集有用的信息。由于节点密集部署,很难充电或更换电池。基本上,节点感知数据并将其传输到基站。靠近基站的节点可能会比其他节点更快地耗尽能量,因为更多的流量依赖于它。此外,节点可能会感知冗余信息并将其传递给其他节点,从而导致能量浪费。由于这些类型的问题,很难设计出具有最佳能量消耗的跨感知区域的数据聚合方案,以提高网络的生命周期。本文以分类学的形式对现有的数据聚合技术进行了详细的研究。
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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