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Efficient Rendezvous Schemes for Mobile Collector in Wireless Sensor Networks with Relay Hop Constraint

机译:具有中继跳数约束的无线传感器网络中移动收集器的有效集合方案

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Recent research shows that huge energy saving can be achieved in wireless sensor networks by introducing mobile collector (MC) that visits sensor nodes and collects data from them via short-range communications. One bottleneck of such approach is the large data collection latency incurred by the slow-moving MC. It is observed that the latency can be effectively shortened by performing local data aggregation. In this paper, we formulate this problem as rendezvous-based mobile data collection (MDC-RN), and prove that it is NP-hard. In MDC-RN, the locally aggregated data is first relayed to rendezvous nodes (RNs) under the constraint of relay hop d, and then the data cached by RNs is uploaded to MC when it arrives. In order to minimize the MC tour and optimize the routes in aggregation trees, we propose two efficient rendezvous-based algorithms. The centralized algorithm selects RNs according to the load priority, while the distributed scheme determines RNs based on underlying aggregation trees. The effectiveness of our algorithms is validated through both theoretical analysis and extensive simulations.
机译:最新研究表明,通过引入访问传感器节点并通过短距离通信从传感器节点收集数据的移动收集器(MC),可以在无线传感器网络中实现巨大的节能效果。这种方法的瓶颈是缓慢移动的MC导致的大数据收集延迟。可以看出,通过执行本地数据聚合可以有效地缩短等待时间。在本文中,我们将此问题表述为基于集合点的移动数据收集(MDC-RN),并证明它是NP难的。在MDC-RN中,本地聚集的数据首先在中继跃点d的约束下中继到集合节点(RN),然后由RN缓存的数据在到达时上传到MC。为了最小化MC巡视并优化聚合树中的路由,我们提出了两种基于集合点的高效算法。集中式算法根据负载优先级选择RN,而分布式方案则根据基础聚​​合树确定RN。我们的算法的有效性通过理论分析和广泛的仿真进行了验证。

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