Design and analysis of secure clustering algorithm for wireless sensors networks

Cluster formation of nodes in wireless sensor network is an effective approach and key technology to implement energy saving and flexible management. To improve security and efficiency of clustering network, a secure clustering model was proposed to identify and get rid of malicious nodes, to achieve cluster-range self-management and on-demand cluster maintenance based on the random and parallel cluster header election algorithm and pre-distributed key scheme, a integrated solution is built to reach efficient management, energy saving and secure information for wireless sensor network, the performance of this algorithm is analyzed and evaluated.