Energy-efficient mobile data collection in Wireless Sensor Networks with delay reduction using wireless communication

Arun K. Kumar, K. Sivalingam
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引用次数: 49

Abstract

In a Wireless Sensor Network (WSN), battery power is a limited resource on the sensor nodes. Hence, the amount of power consumption by the nodes determines the node and network lifetime. This in turn has an impact on the connectivity and coverage of the network. One way to reduce power consumed is to use a special Mobile Data Collector (MDC) for data gathering, instead of multi-hop data transmission to the sink. The MDC collects the data from the nodes and transfers it to the sink. Various kinds of MDC approaches have been explored for different assumptions and constraints. But in all the models proposed, the data latency is usually high, due to the slow speed of the mobile nodes. In this paper, we propose a new model of mobile data collection that reduces the data latency significantly. Using a combination of a new touring strategy based on clustering and a data collection mechanism based on wireless communication, we show that the delay can be reduced significantly without compromising on the advantages of MDC based approach. Using extensive simulation studies, we analyze the performance of the proposed approach and show that the packet delay reduces by more than half when compared to other existing approaches.
利用无线通信降低时延的无线传感器网络节能移动数据采集
在无线传感器网络(WSN)中,电池电量是传感器节点上的一种有限资源。因此,节点的功耗决定了节点和网络的生命周期。这反过来又对网络的连通性和覆盖范围产生影响。减少功耗的一种方法是使用特殊的移动数据采集器(MDC)进行数据收集,而不是将多跳数据传输到接收器。MDC从节点收集数据并将其传输到sink。针对不同的假设和约束,已经探索了各种各样的MDC方法。但在所有的模型中,由于移动节点的速度较慢,数据延迟通常很高。在本文中,我们提出了一种新的移动数据采集模型,该模型显著降低了数据延迟。结合使用基于聚类的新巡回策略和基于无线通信的数据收集机制,我们证明了延迟可以显著降低,而不会影响基于MDC的方法的优点。通过大量的仿真研究,我们分析了所提出的方法的性能,并表明与其他现有方法相比,数据包延迟减少了一半以上。
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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