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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.
Aiming at the periodic work-event driven hybrid heterogeneous sensor network, a data collection strategy based on static Sink and mobile data collector (MDC) is designed.In order to solve the MDC access planning problem, a minimum energy access node set search algorithm Firstly, we remove the appropriate number of edge nodes based on the relative edge degree of the nodes, and then, based on the priority of node elimination, we iteratively exclude the nodes with the lowest energy efficiency in the current node set to obtain the optimized set of access nodes gradually.The simulation results show that The proposed new data collection strategy has excellent energy efficiency, load balancing and real-time performance.