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Assignment of Sensors for Multiple Tasks Using Path Information

机译:使用路径信息为多个任务分配传感器

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A gsharedh wireless sensor network (WSN) where multiple users deploy multiple tasks requires a mechanism for resource arbitration. This arbitration can be viewed as a problem with determining how best to assign sensors to tasks. The previous approaches only dealt with energy used for sensing, however, experiments have shown that the energy used for communication must be dealt with within the context of a WSN. In this paper, we propose a novel formulation of this problem and a distributed assignment algorithm based on heuristics that takes into account path information between the assigned node and the base station. We take advantage of the greactiveh nature of the system and piggyback path information on task queries. We can expect higher utilization of the network in comparison with previous approaches by preserving routes through which sensing data run. The results of software simulations revealed that our assignment algorithm is more energy-efficient than the previous one that does not exploit information about the path.
机译:由多个用户部署多个任务的共享g无线传感器网络(WSN)需要一种资源仲裁机制。可以将这种仲裁视为确定如何最好地将传感器分配给任务的问题。先前的方法仅处理用于感测的能量,但是,实验表明,用于通信的能量必须在WSN的上下文中处理。在本文中,我们提出了这个问题的新颖表述,并提出了一种基于启发式的分布式分配算法,该算法考虑了分配节点与基站之间的路径信息。我们利用系统的主动性和任务查询中的搭载路径信息。通过保留感知数据运行所经过的路由,与以前的方法相比,我们可以期望网络的利用率更高。软件仿真的结果表明,我们的分配算法比不利用有关路径信息的前一种算法具有更高的能源效率。

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