用可分负载理论分析无线传感器网络任务调度

针对无线传感器网络的任务如何在最短时间内完成且充分利用网络资源的问题,提出了一种基于可分负载理论的无线传感器网络任务调度算法（WDTA）.该算法根据网络中各个节点的处理能力和节点间的通信能力,将总任务从SINK节点下发至网络中.通过去除节点间的通信干扰来提高资源利用率和减少总任务完成时间.算法在两种分群结构的异构网络环境下进行了分析,得到了在各个节点上最合理的任务分配方案,以及最短的任务完成所需时间.理论分析了基于可分负载理论的无线传感器网络任务调度的极限情况.实验结果表明WDTA算法能够通过合理分配任务,而减少任务完成时间及节点能耗.该方案可以作为设计大规模无线传感器网络的原则.

Analysis of task scheduling in wireless sensor networks based on divisible load theory

To accomplish the tasks within a possibly shortest time, and fully use network resources, a task scheduling algorithm(WDTA) based on divisible load theory is proposed under clustering structure in wireless sensor networks. In WDTA, the tasks are distributed to wireless sensor network based on the processing and communication capacity of each sensor by SINK. By removing communication interference between each sensor, this algorithm achieves the reduction of the task-accomplishment time and improves the network resource utilization. Two kinds of heterogeneous clustering network settings are then analyzed in WDTA. The most reasonable scheme for task allocation in all nodes and the shortest time required to accomplish the tasks are also obtained. The limit case of task scheduling in wireless sensor networks is theoretically analyzed. Finally, simulation results show that the algorithm can reasonably distribute tasks to each sensor, and then effectively reduces the time-consumption and energy-consumption in task accomplishment. This scheme can be used as the design principle for large-scale wireless sensor networks.