Efficient Agile Sink Selection in Wireless Sensor Networks Based on Compressed Sensing

Mohammadreza Mahmudimanesh, A. Naseri, N. Suri
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引用次数: 1

Abstract

Collection of the sensed data in a wireless sensor network at one or more sink (s) is a well studied problem and there are a lot of efficient solutions for a variety of wireless sensor network configurations and application requirements. These methods are often optimized towards collection of the sensed data at a predetermined base station or sink. This inherently reduces the agility of the wireless sensor network as the flow of information is not easily changeable after the establishment of the routing and data collection algorithms. This paper presents an efficient data dissemination method based on the compressed sensing theory that allows each sensor node to take the role of a sink. Agile sink selection is especially advantageous in scenarios where the sink or the end user of the wireless sensor network is mobile. The proposed method allows availing the global state of the environment by fetching a small set of data from any arbitrary node. Our evaluations prove the better performance of our technique over existing methods. Also a comparison with an oracle-based approach gives sufficient experimental evidences of a nearly optimal performance of our method.
基于压缩感知的无线传感器网络高效敏捷Sink选择
在一个或多个接收器上收集无线传感器网络中的感测数据是一个研究得很好的问题,针对各种无线传感器网络配置和应用需求,有许多有效的解决方案。这些方法通常针对在预定的基站或接收器收集感测数据进行了优化。这从本质上降低了无线传感器网络的灵活性,因为在路由和数据采集算法建立后,信息流不容易改变。本文提出了一种基于压缩感知理论的高效数据分发方法,该方法允许每个传感器节点充当接收器的角色。在无线传感器网络的接收器或终端用户是移动的情况下,敏捷的接收器选择尤其有利。所提出的方法允许通过从任意节点获取一小组数据来利用环境的全局状态。我们的评估证明我们的技术比现有的方法性能更好。通过与基于oracle的方法的比较,充分证明了该方法的性能接近于最优。
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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