基于能耗与负载差异化管理的WSNs节点调度算法研究

Research on WSNs Node Scheduling Algorithm Based on Energy Consumption and Load Differential Management

针对WSNs中节点资源调度不均衡、能量消耗过快等问题,提出了基于节点能耗与负载差异化管理的调度算法。首先构建节点感知模型,根据初始状态下节点分布预估各节点的能量消耗;然后根据对簇首节点的选择和簇间通信轮数的选择,解决网络中异常能量消耗问题;最后在WSNs中部署动态节点,调整通信距离,并基于量子遗传算法筛选出通信距离的最优解和均衡网络性能。仿真结果表明,提出的资源调度与能耗管理算法在节点有效覆盖率、休眠节点数量等方面具有明显优势,且可以节省剩余网络能量,延长网络生存时间。

In view of the unbalanced resource scheduling and the excessive energy consumption in WSNs,a scheduling algorithm based on the management of node energy consumption and load difference is proposed;Firstly,the node perception model is constructed to estimate the energy consumption of the nodes according to the initial state node distribution;Then,according to the selection of cluster head node and the number of communication rounds between clusters,the problem of abnormal energy consumption is solved;Finally,dynamic nodes are deployed in WSNs to adjust the communication distance,and the optimal solution of communication distance is screened based on quantum genetic algorithm.The simulation results show that the proposed resource scheduling and energy management algorithm has obvious advantages in the effective coverage of nodes and the number of dormant nodes,and can save the remaining network energy and form the network life time.