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Bounded Relay Hop Mobile Data Gathering in Wireless Sensor Networks

机译:无线传感器网络中有界中继中继移动数据收集

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Recent study reveals that great benefit can be achieved for data gathering in wireless sensor networks by employing mobile collectors that gather data via short-range communications. To pursue maximum energy saving at sensor nodes, intuitively, a mobile collector should traverse the transmission range of each sensor in the field such that each data packet can be directly transmitted to the mobile collector without any relay. However, this approach may lead to significantly increased data gathering latency due to the low moving velocity of the mobile collector. Fortunately, it is observed that data gathering latency can be effectively shortened by performing proper local aggregation via multihop transmissions and then uploading the aggregated data to the mobile collector. In such a scheme, the number of local transmission hops should not be arbitrarily large as it may increase the energy consumption on packet relays, which would adversely affect the overall efficiency of mobile data gathering. Based on these observations, in this paper, we study the tradeoff between energy saving and data gathering latency in mobile data gathering by exploring a balance between the relay hop count of local data aggregation and the moving tour length of the mobile collector. We first propose a polling-based mobile gathering approach and formulate it into an optimization problem, named bounded relay hop mobile data gathering (BRH-MDG). Specifically, a subset of sensors will be selected as polling points that buffer locally aggregated data and upload the data to the mobile collector when it arrives. In the meanwhile, when sensors are affiliated with these polling points, it is guaranteed that any packet relay is bounded within a given number of hops. We then give two efficient algorithms for selecting polling points among sensors. The effectiveness of our approach is validated through extensive simulations.
机译:最近的研究表明,通过使用通过短距离通信收集数据的移动收集器,可以在无线传感器网络中收集数据带来巨大的好处。为了在传感器节点上实现最大的节能效果,直观上讲,移动收集器应遍历现场中每个传感器的传输范围,以便每个数据包都可以直接传输到移动收集器而无需任何中继。但是,由于移动收集器的移动速度低,此方法可能导致数据收集延迟显着增加。幸运的是,可以观察到,通过多跳传输执行适当的本地聚合,然后将聚合的数据上传到移动收集器,可以有效地缩短数据收集延迟。在这种方案中,本地传输跳数不应任意大,因为它可能会增加分组中继上的能耗,这将不利地影响移动数据收集的整体效率。基于这些观察,本文通过探索本地数据聚合的中继跳数与移动收集器的移动行程之间的平衡,研究了移动数据收集中节能与数据收集延迟之间的权衡。我们首先提出一种基于轮询的移动收集方法,并将其表达为一个优化问题,称为有界中继跳数移动数据收集(BRH-MDG)。具体来说,将选择传感器的子集作为轮询点,以缓存本地聚合的数据,并在数据到达时将其上载到移动收集器。同时,当传感器与这些轮询点关联时,可以确保任何数据包中继都被限制在给定的跳数内。然后,我们给出了两种在传感器之间选择轮询点的有效算法。我们的方法的有效性通过广泛的仿真得到了验证。

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