ZHANG Qiang, HU Guang-ming, CHEN Hai-tao, et al. Clustering algorithm and analysis based on objective trust modeling in MANET[J]. 2009, 30(2): 12-21.DOI:
MANET基于客观信任度建模的分簇算法与分析
摘要
设计了一个客观信任度评估数学模型
然后基于能量和相对运动观点
以最大稳定链路数为测度
提出了一种最大客观信任的移动自组网分簇算法(MOTBCS)。此分簇算法仅有效扩展原HELLO消息
额外代价小;并且更好考虑到了自组网中的实际约束条件
更适用于真实环境。模拟试验表明
MOTBCS与同类算法相比
能形成更稳定的簇结构
同时具有更低的通信开销和更好的运行效率。
Abstract
In mobile-adhoc networks(MANET)
an objective trust estimation model was presented
and then a maxi-mum-objective-trust-based clustering solution(MOTBCS) was raised
which aimed at the opinion of maximum stable links and energy viewpoints and gave nodes their objective trust estimation.This solution only extended the original HELLO message for the benefit of small costs and it could be better suitable for the realistic working environments in MANETs.Simulation results show that MOTBCS generate more stable clustering groups.It also has less communication costs and better efficiency than other clustering algorithms.