厦门大学学报（自然科学版）2017，Vol.56Issue(1)：129-136,8.DOI:10.6043/j.issn.0438-0479.201604034
一种鲁棒的中等规模分簇结构水下传感器网络
A Robust Clustering Architecture for Medium Scale Underwater Acoustic Sensor Networks
摘要
Abstract
For the purpose of aiming at the problem that the load imbalance and the short life cycle of the existing underwater sensor network clustering algorithm,a new clustering algorithm based on global optimization is proposed.The proposedalgorithm isinspired by the basic idea of particle swarm optimization (PSO)algorithm and genetic algorithm (GA).First,a particle encoding method is designed.It dynamically adj usts the probability of node election according to the recently elected cluster head number.Then,a new method is designed to capture a good random cross fragment in the whole coding region of the particle by the method of cyclic search,which ensures that the cross transformed particles contain a certain amount of history and the best information.In addition,by the mutation of the node coding bits,the exploratory of the algorithm is improved,and also ensures the existence of the solution space.Finally,three optimization sub obj ectives,cluster head energy,load balance and cluster range,are considered synthetically in the particle evaluation function.Simulationresults show that the proposed algorithm more effectively balances the load of cluster heads, and reduce the network energy consumption,and prolong the network life cycle.关键词
水下传感器网络/分簇算法/负载均衡/能量有效/离散粒子群优化/环境监测Key words
underwater acoustic sensor networks (UASN)/clustering algorithm/load balancing/energy efficiency/discrete particle swarm optimization (DPSO)/environmental monitoring分类
信息技术与安全科学引用本文复制引用
张昊,王世练,孙海信..一种鲁棒的中等规模分簇结构水下传感器网络[J].厦门大学学报（自然科学版）,2017,56(1):129-136,8.基金项目
国家自然科学基金(61471309) （61471309）
