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针对现有调度算法大多没有考虑监控区域内目标发生频率的非均匀性和节点异构的因素,导致无法适应异构无线传感器网络的特点,提出一种目标非均匀分布条件下K覆盖的异构无线传感器网络调度算法.算法从全网在所有时间片服务质量和节点能耗的角度建立节点调度模型,综合考虑节点异构和监测目标的非均匀分布等约束条件,以网络覆盖率最大和工作节点的数量最少为目标,构造非线性优化函数,提出一种控制参数自适应的微分算法求解节点的调度方案.仿真结果表明:相比典型算法,改进算法能够在满足节点异构和监测目标非均匀分布前提下增强网络的服务质量和降低网络的能耗.
Most existing scheduling algorithms do not consider the heterogeneity of frequency and node heterogeneity in the monitoring area, which leads to the inability to adapt to the characteristics of heterogeneous wireless sensor networks. This paper proposes a K-isomerization heterogeneous Wireless sensor network scheduling algorithm.The algorithm establishes a node scheduling model from the perspective of the whole network in terms of quality of service and energy consumption of nodes, and takes into consideration the constraint conditions such as node heterogeneity and non-uniform distribution of monitoring targets, The number of nodes is the minimum, and a non-linear optimization function is constructed, a differential algorithm with adaptive control parameters is proposed to solve the scheduling problem of the nodes.The simulation results show that compared with the typical algorithms, the improved algorithm can meet the requirements of heterogeneous nodes and monitoring targets Under the premise of uniform distribution, enhance the service quality of the network and reduce the energy consumption of the network.