电子学报2018，Vol.46Issue(4)：918-929,12.DOI:10.3969/j.issn.0372-2112.2018.04.021
面向高动态移动自组织网络的生物启发分簇算法
Bio-Inspired Clustering Algorithm for Highly Dynamic Mobile Ad Hoc Networks
于云龙 1茹乐 2方堃 2贾旭峰2
作者信息
- 1. 空军工程大学防空反导学院,陕西西安710038
- 2. 空军工程大学航空航天工程学院,陕西西安710038
- 折叠
摘要
Abstract
Clustering can increase the performance of large-scale mobile ad hoc networks effectively.But the highly dynamic mobile ad hoc networks have some of characteristics,such as high mobility and fast network topology change;applying traditional clustering algorithms will cause the sharp decrease of the performance of the network,frequent updates of cluster topology will cause the instability of cluster structure and the increase of control overhead.For purpose of solving the problems that traditional clustering algorithms cannot fit the highly dynamic large-scale mobile ad hoc networks,BIMAC (Bio-Inspired Mobility-Aware Clustering) algorithm is proposed.This algorithm ameliorates the forage model of physarum polycephalum,which can make it adapt to the domain of mobile ad hoc networks.On account of this algorithm includes the mobility characteristic of the node,we can carry through the cluster formation and maintenance effectively.Experimental results have indicated that the BIMAC algorithm increases average link connection lifetime and average cluster head lifetime compared with other traditional clustering algorithms;BIMAC algorithm can make the cluster structure more stable.This algorithm can increase the adaptive capacity for highly dynamic large-scale mobile ad hoc networks.关键词
移动通信网络/仿生算法/移动感知/高动态Key words
mobile communication networks/bionic algorithm/mobility-aware/highly dynamic分类
航空航天引用本文复制引用
于云龙,茹乐,方堃,贾旭峰..面向高动态移动自组织网络的生物启发分簇算法[J].电子学报,2018,46(4):918-929,12.
