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Smooth path construction and adjustment for multiple mobile sinks in wireless sensor networks

机译:无线传感器网络中多个移动接收器的平滑路径构造和调整

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Wireless multimedia sensor networks can provide a much clearer picture of the sensed area and thus significantly improve many applications. However, the increased amount of data will lead to issues with energy consumption and network lifetimes if we use the traditional network-based data collection where packets are forwarded hop by hop to the base. To mitigate these problems, researchers have been investigating mobile sinks traveling through the network and collecting the generated data. Using mobile sinks significantly increases the delivery rate while also reducing energy usage, but this increases the collection delay because of the physical speed of mobile sinks. In this paper, to reduce the physical collection delay while maintaining the other performance improvements (e.g., delivery rate, energy usage), we focus on how to use faster mobile sinks. Such mobile sinks are often motion-constrained and require smooth paths which can be followed with these constraints. Accordingly, we first developed a basic smooth path construction algorithm based on the TSP. We then extended it with path adjustments based on the required contact time at each node. Finally, we allowed for multiple mobile sinks which allowed us to further reduce the average delay per packet over the previous algorithms. Through extensive simulations, we found our algorithm allows for faster data collection over the current solutions, which can only accommodate flexible but slower mobile sinks, while maintaining the increased delivery rate and decreased energy usage. (C) 2015 Elsevier B.V. All rights reserved.
机译:无线多媒体传感器网络可以提供所感测区域的清晰得多的图像,从而显着改善许多应用。但是,如果我们使用传统的基于网络的数据收集(将数据包逐跳转发到基础),则增加的数据量将导致能耗和网络寿命问题。为了减轻这些问题,研究人员一直在研究通过网络传播的移动接收器并收集生成的数据。使用移动接收器可以显着提高传送速度,同时还可以减少能耗,但是由于移动接收器的物理速度,这会增加收集延迟。在本文中,为了减少物理收集延迟同时又保持其他性能改进(例如,传输速率,能源使用),我们集中于如何使用更快的移动接收器。这样的移动水槽经常受到运动的约束,并且需要平滑的路径,这些路径可以遵循这些约束。因此,我们首先开发了基于TSP的基本平滑路径构造算法。然后,我们根据每个节点所需的联系时间,通过路径调整来扩展它。最后,我们允许使用多个移动接收器,这使得我们可以比以前的算法进一步减少每个数据包的平均延迟。通过广泛的仿真,我们发现我们的算法允许在当前解决方案上更快地收集数据,该算法只能容纳灵活但速度较慢的移动接收器,同时保持增加的传输速率和减少的能耗。 (C)2015 Elsevier B.V.保留所有权利。

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