A Research of Weight for Enhanced Weighted Clustering Algorithm(EWCA)
Guo Xifeng · Jisuanji fangzhen · 2009
The delaminated management of large scale Ad Hoc already has become a trend and the Clustering Algorithm is the key.The paper proposes an enhanced version of WCA called Enhanced Weighted Clustering Algorithm(EWCA),which reduces the clustering overhead of the original WCA,explicitly limits the number of nodes in a cluster,and improves network performance.After Considering the complex external environment of node,digging factors of network,the paper puts forward an algorithm that calculates,sets and adjusts these weights by comparing-weight,efficient-weight and expecting-weight,so to fit all kinds of application environment.This article gives a deep analysis of Formula factors and their mutual relations of EWCA algorithm weights,discusses the operation of the network environment,the network of state-dependent factors and EWCA weights.The algorithm not only guarantees the rational and effective weight,but also gives EWCA a warrant in calculation.