Abstract: 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 hoc networks, as well as in the suitability of network beginning.

Key words: sensor network, clustering, security, Gaussian distribution

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。

关键词: 传感器网络, 分簇, 安全性, 高斯分布

CLC Number: 

• TP311.52