Han Changcai, Yang Jinsheng
School of Microelectronics, Tianjin University, Tianjin 300072, China.
Sensors (Basel). 2017 Oct 30;17(11):2493. doi: 10.3390/s17112493.
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.
研究了集成分布式低密度奇偶校验码的多源协作，以在无线传感器网络中从多个传感器节点向移动汇聚节点联合收集数据。根据汇聚节点的移动轨迹，提出了一轮和两轮协作数据收集方案。具体而言，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汇聚节点的移动轨迹，形成两个稀疏协作模型。然后，设计分布式低密度奇偶校验码以匹配与协作模型相关的有向图和协作矩阵。在所提出的方案中，由于稀疏协作和分布式处理，每个源节点具有相当低的复杂度。仿真结果表明，所提出的协作数据收集方案获得了显著的误码率性能，并且与一轮方案相比，两轮协作表现出更好的性能。当更多源节点参与稀疏协作时，性能可以进一步提高。对于两轮数据收集方案，针对具有不同移动轨迹和不同数据大小的无线传感器网络评估了性能。
