传感器网络中基于高斯信誉模型的分簇算法  

Clustering Algorithm Based on Gauss Reputation Model in Sensor Network

作　　者：章静[1] 许力[2] 徐道炜[3] 

机构地区：[1]福建工程学院计算机与信息科学系,福州350108 [2]福建师范大学数学与计算机科学学院,福州350007 [3]福建农林大学林学院,福州350002

出　　处：《计算机工程》2010年第17期169-172,共4页Computer Engineering

基　　金：国家自然科学基金资助项目(60502047);福建工程学院科研发展青年基金资助项目(GY-Z0899)

摘　　要：针对传感器网络中的分簇安全问题,提出一种新的安全分簇算法,将基于高斯分布的节点信誉模型作为选举簇头的标准,使簇头具有较高的可信度,从而提高网络安全性。分析及仿真实验结果表明,该算法改进了簇和簇头的分布方式,能保证网络的连通性、安全性,可以适应更多的网络初始条件。Aiming at the security clustering problem in sensor network, a new trust evaluation scheme based on clustering is proposed in this paper. Based on the Gauss reputation model, each node chooses one node that has the highest value as its cluster head. It is proven in theory and in experiment that the improved arithmetic refines the distributions of cluster and cluster head, and this algorithm is more secure then other schemes for cluster based ad hoe networks, as well as in the suitability of network beginning.

关 键 词：传感器网络 分簇 安全性 高斯分布 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]