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Planning the trajectories of multiple mobile sinks in large-scale, time-sensitive WSNs

机译:规划大规模,时间敏感的WSNS中多个移动水槽的轨迹

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Controlled sink mobility has been shown to be very beneficial in lifetime prolongation of wireless sensor networks (WSNs) by avoiding the typical hot-spot problem near the sink. Besides striving for elongated lifetimes, many applications of WSNs are time-sensitive, i.e., they strongly benefit from bounds on the message transfer delay. Further, large WSNs require multiple sinks in order to scale well with respect to delay and lifetime. Therefore, it becomes very interesting to investigate how to plan the trajectories of multiple mobile sinks such that lifetime and delay goals are met simultaneously. To that end, we propose a geometrically principled heuristic for finding good trajectories of multiple mobile sinks in large-scale, time-sensitive WSNs. First, we discuss the high analytical challenges of optimally planning the trajectories of multiple mobile sinks. Based on this, we relax the problem by transforming it into a geometric design problem, which, subsequently, is solved in closed form. In simulations, we investigate how well this geometric heuristic for sink trajectories of multiple mobile sinks performs with respect to delay and lifetime. We find that it excels especially in large-scale WSNs, for example in a WSN with 500 nodes and 20 sinks, it roughly cuts delay bounds by 50% while tripling the lifetime compared to the sinks following random walks. Hence planning the sink trajectories carefully really pays off.
机译:通过避免水槽附近的典型的热点问题,已经显示控制水槽移动性在无线传感器网络(WSNS)的寿命延长中是非常有益的。除了追求细长的寿命之外,WSN的许多应用是时间敏感的,即,它们非常受益于消息传输延迟的范围。此外,大型WSN需要多个汇,以便相对于延迟和寿命来扩展良好。因此,研究如何规划多个移动沉积的轨迹,这变得非常有趣,使得同时满足寿命和延迟目标。为此,我们提出了一个几何原理启发式,用于在大规模,时间敏感的WSN中找到多个移动水槽的良好轨迹。首先,我们讨论了最佳规划多个移动水槽轨迹的高分析挑战。基于这一点,我们通过将其转换为几何设计问题来放松问题,随后以封闭形式求解。在仿真中,我们研究了多个移动沉积的沉降轨迹的这种几何启发式如何执行延迟和寿命。我们发现它特别是在大规模的WSN中擅长大规模的WSN,例如,在一个带500个节点和20个下沉的WSN中,它大致将延迟界限减少50%,同时与随机散步后的水槽相比增加了寿命。因此,规划水槽轨迹仔细确实会得到回报。

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