| Abstract: | ABSTRACT In cluster-based key management techniques, the details of the mobile nodes are gathered always before joining or starting the clustering process,which produces congestion and additional overhead. In this paper, to reduce overhead and congestion of a cluster head, we propose a predictive clustering technique for effective key management. The predictive technique predicts the node movement and proactively sends information in cases of cluster movement. The combined metric for prediction is estimated based on route expiration time and node velocity. In key management technique, each cluster head retains the public key of its member nodes only and act as a router when dealing with nodes of other cluster members. Using this technique, the overhead on centralized key management schemes is reduced. Moreover, the need of each node storing all public keys is diminished, thus minimizing the storage overhead on each node. By simulation results, we show that the proposed scheme is more efficient for minimizing overhead and congestion. |
