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Quantitative Reduction in Communication Load for Energy Efficiency in WSN

机译:减少无线传感器网络中能效的通信负载

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WSN is a dynamic network of randomly deployed tiny sensor nodes to monitor the physical ambient conditions, healthcare services, military surveillance, movements and tracking of vehicles or other targets etc. Sensing generates continuous streams of data which are distributed throughout the network. This distributed data is retrieved by various applications through numerous appropriate means. Query based retrieval method is the most popular general purpose method for data extraction. In response to queries injected into the network nodes communicate data among themselves or to the base-station. Communication traffic thus generated is highly energy consuming activity. It drains out limited energy available with a node thereby rendering it useless as replenishment of energy is not possible in most of the deployments therefore efficient use of energy is the main focus to prolong the life of a WSN. Reduction of communication traffic is the most effective mean to achieve energy efficiency. In this paper we have proposed an approach towards this end which employs optimization of multiple queries at the base station and data compression at individual nodes resulting in quantitative reduction in communication traffic. Quality of data is not compromised in the process.
机译:WSN是由随机部署的微小传感器节点组成的动态网络,用于监视物理环境状况,医疗服务,军事监视,车辆或其他目标的移动和跟踪等。传感生成连续的数据流,这些数据流分布在整个网络中。各种应用程序通过许多适当的方式检索此分布式数据。基于查询的检索方法是最流行的通用数据提取方法。响应于注入到网络节点中的查询,节点之间或基站之间传送数据。如此产生的通信流量是高能耗活动。它耗尽了节点可用的有限能量,从而使其无效,因为在大多数部署中不可能补充能量,因此,有效利用能量是延长WSN寿命的主要重点。减少通信流量是实现能源效率的最有效手段。在本文中,我们提出了一种为此目的的方法,该方法采用了基站中多个查询的优化以及各个节点上的数据压缩,从而导致通信流量的定量减少。数据质量在此过程中不会受到影响。

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