Clustering algorithm and analysis based on objective trust modeling in MANET

ZHANG Qiang; HU Guang-ming; CHEN Hai-tao; GONG Zheng-hu

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Clustering algorithm and analysis based on objective trust modeling in MANET

更新时间：2024-10-14

- Clustering algorithm and analysis based on objective trust modeling in MANET
- Vol. 30, Issue 2, Pages: 12-21(2009)
- 作者机构：
  
  国防科技大学计算机学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5
- Published：2009
- 稿件说明：
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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：

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：

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.

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