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

机译:无线传感器网络中的节能移动数据收集,使用无线通信可减少延迟

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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.
机译:在无线传感器网络(WSN)中,电池电量是传感器节点上的有限资源。因此,节点的功耗量决定了节点和网络的寿命。反过来,这会影响网络的连接性和覆盖范围。降低功耗的一种方法是使用特殊的移动数据收集器(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接收器。针对不同的假设和约束,已经探索了各种MDC方法。但是在所有提出的模型中,由于移动节点的速度较慢,因此数据延迟通常很高。在本文中,我们提出了一种新的移动数据收集模型,该模型可以显着减少数据等待时间。结合使用基于群集的新巡回策略和基于无线通信的数据收集机制,我们可以在不影响基于MDC的方法优势的情况下显着减少延迟。通过广泛的仿真研究,我们分析了所提出方法的性能,并表明与其他现有方法相比,数据包延迟减少了一半以上。

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