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Multi-Source Cooperative Data Collection with a Mobile Sink for the Wireless Sensor Network

机译:用于无线传感器网络的带有移动接收器的多源协作数据收集

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摘要

The multi-source cooperation integrating distributed low-density parity-check codes is investigated to jointly collect data from multiple sensor nodes to the mobile sink in the wireless sensor network. The one-round and two-round cooperative data collection schemes are proposed according to the moving trajectories of the sink node. Specifically, two sparse cooperation models are firstly formed based on geographical locations of sensor source nodes, the impairment of inter-node wireless channels and moving trajectories of the mobile sink. Then, distributed low-density parity-check codes are devised to match the directed graphs and cooperation matrices related with the cooperation models. In the proposed schemes, each source node has quite low complexity attributed to the sparse cooperation and the distributed processing. Simulation results reveal that the proposed cooperative data collection schemes obtain significant bit error rate performance and the two-round cooperation exhibits better performance compared with the one-round scheme. The performance can be further improved when more source nodes participate in the sparse cooperation. For the two-round data collection schemes, the performance is evaluated for the wireless sensor networks with different moving trajectories and the variant data sizes.
机译:研究了集成了分布式低密度奇偶校验码的多源合作,以从多个传感器节点向无线传感器网络中的移动接收器联合收集数据。根据宿节点的运动轨迹,提出了一轮和两轮合作数据收集方案。具体地,首先基于传感器源节点的地理位置,节点间无线信道的损伤以及移动宿的移动轨迹,形成两个稀疏合作模型。然后,设计了分布式低密度奇偶校验码,以匹配与合作模型相关的有向图和合作矩阵。在提出的方案中,每个源节点的复杂度都非常低,这归因于稀疏的协作和分布式处理。仿真结果表明,所提出的协作数据收集方案具有显着的误码率性能,并且两轮协作相比单轮方案具有更好的性能。当更多的源节点参与稀疏合作时,可以进一步提高性能。对于两轮数据收集方案,将评估具有不同移动轨迹和不同数据大小的无线传感器网络的性能。

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