An Intelligent Weighted Clustering Algorithm(IWCA) for Ad Hoc
Xiqing Zhao, Xifeng Guo, Zhaohao Sun, Changming Ren · 2009
Intelligent management to the large scale ad hoc network has already become a kind of trend, and the clustering algorithm is the key. This article examines formula factors and their mutual relations of EWCA algorithm weights. After considering complex external environment of nodes, digging factors of network, it proposes an algorithm that calculates, sets and adjusts these weights by comparing weights, efficient-weights and expecting-weights, so as to fit for all kinds of application environment. The algorithm does not only guarantee the rational and effective weights, but also run in a human friendly.