物联网感知层高能效覆盖优化节点调度算法

Energy-efficient coverage optimized node scheduling algorithm for sensor layer in Internet of things

为了更好地节约能量并有效解决节点不均等休眠问题,探讨了基于容忍覆盖区域的节点调度算法,并在此基础上进行了两方面改进:通过引入相对剩余能量水平参数Eremain优化覆盖冗余判断策略,并通过增加"预活动"和"回退"两种节点状态来改进节点状态分布情况,从而提出一种高能效覆盖优化节点调度算法ECO-NS。最后运用MATLAB对该算法进行了验证,结果表明,相对于同类算法,该算法有效提升了网络覆盖质量,延长了网络寿命。

For saving energy and solving the problem of nodes non-uniform sleeping, this paper discussed the tolerance cove- rage area based node scheduling algorithm, and then proposed an energy-efficient coverage optimized node scheduling algorithm by improving this algorithm with two ways： improving the coverage redundancy judgment strategy by introducing a relative sur- plus energy level parameters E^m~n, and optimizing node state distribution by increasing two node states pre-active and backoff. It used the network simulator MATLAB to demonstrate the performance of the algorithm. Experiment results show that this algorithm effectively improves the network coverage quality and prolongs the network lifetime in comparison with the similar algorithm.