混合型异构传感器网络中移动数据收集器的路径优化

Optimizing path selection for mobile data collector in hybrid heterogeneous sensor networks

针对周期工作-事件驱动混合型异构传感器网络,设计一种基于静态Sink搭配移动数据收集器(MDC)的数据收集策略.为了解决MDC访问规划问题,提出一种最小能耗访问节点集搜索算法.首先,基于节点相对边缘度从整体层面去除适量边缘节点;然后,依据节点排除优先度,迭代排除当前节点集中相对能效最低的节点,从而逐步获得优化的访问节点集.仿真实验结果表明,所提出的新数据收集策略具有优异的能效性、负载均衡性和实时性.

A data collection strategy based on a static sink going with a mobile data collector（MDC） is designed for the / periodic-duty and event-driven hybrid heterogeneous sensor networks. In order to solve the visit-planning problem of MDC, a search algorithm of the minimum energy-consumption visit-nodes set is proposed. Firstly, the appropriate number of nodes are removed on the overall network level based on the node＇s relative fringe-degree. Then based on the node＇s removing priority degree, the node with the lowest relative energy-efficiency is iteratively excluded from the current visit-nodes set to gradually get the optimized visit-nodes set. Simulation results show that the proposed data collection strategy has excellent energy-efficiency, load-balance and real-time.