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针对无线传感器网络精确数据收集,提出一种分布式生成树算法MLT.算法以一颗最小功率生成树为基础,在收集数据过程中不断统计节点剩余能量大小,找出瓶颈节点并与sink中存储的阈值比较,若低于阈值则转移瓶颈节点负担,优化树结构.研究表明随着阈值的增加网络生命周期先不断增大然后不断减小,阈值取值的合理性有效避免了因过于频繁变更树结构导致的额外能量消耗,使得所有节点能量较为均衡并延长了网络的生命周期,仿真实验验证了算法的有效性.
Aiming at the problem of accurate data collection in wireless sensor networks, a distributed spanning tree algorithm MLT is proposed based on a minimum power spanning tree, which collects the remaining energy of nodes in the process of collecting data, finds the bottleneck node and stores it with sink If the threshold value is lower than the threshold value, the bottleneck node is transferred and the tree structure is optimized.The research shows that the network life cycle increases and then decreases with the increase of the threshold value, and the rationality of the threshold value effectively avoids the bottleneck due to too frequent changes The extra energy consumption caused by the tree structure makes the energy of all nodes more balanced and prolongs the life cycle of the network. Simulation results show the effectiveness of the algorithm.