面向城市水资源监测的WSN拓扑控制算法

针对传统的水资源监测系统监测周期长、自动化程度低的问题,提出了一种基于WSN的城市水资源监测系统。对已有的WSN层次拓扑控制的LEACH算法,由于簇头节点在网络内的分布是随机的,容易造成簇成员节点与簇头间、簇头节点与网关节点间的通信距离不平衡,故对此不足进行了改进。通过Matlab仿真软件对算法性能进行仿真,结果表明该改进算法LEACH-E能够更好地均衡节点的能量消耗,在保证网络连通性的前提下,监测网络的生存时间比LEACH算法提升了约26%,从而节约了监测网络的运行成本。

The WSN Hierarchical Topology Control Algorithm for Urban Water Resources Monitoring

To solve the problems of traditional water resources monitoring systems' monitoring cycle being long, degree of automation being low, a water resources monitoring system for the urban areas based on WSN is proposed in this paper. The LEECH algorithm of the existing WSN hierarchical topology control algorithm's cluster head nodes in the network are randomly distribution, so it is easy for imbalanced communication distance between cluster member nodes and cluster heads, cluster head node and network gateway nodes. This study is an effort to solve this problem. Through the Matlab software, the performance of the algorithm is simulated, and the results show that the improved algorithm LEACH-E can better balance node energy consumption. On the basis of stable network connectivity, the survival time of the network monitoring, compared with LEACH algorithm, is enhanced by about 26%, thereby saving the operation costs of the monitoring network.