文件名称:A-mobility-based-cluster-formation-algorithm-for-
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In this paper, we propose a learning automatabased
weighted cluster formation algorithm calledMCFA in
which the mobility parameters of the hosts are assumed to
be random variables with unknown distributions. In the proposed
clustering algorithm, the expected relative mobility of
each host with respect to all its neighbors is estimated by
sampling its mobility parameters in various epochs. MCFA
is a fully distributed algorithm in which each mobile independently
chooses the neighboring host with the minimum
expected relative mobility as its cluster-head.
weighted cluster formation algorithm calledMCFA in
which the mobility parameters of the hosts are assumed to
be random variables with unknown distributions. In the proposed
clustering algorithm, the expected relative mobility of
each host with respect to all its neighbors is estimated by
sampling its mobility parameters in various epochs. MCFA
is a fully distributed algorithm in which each mobile independently
chooses the neighboring host with the minimum
expected relative mobility as its cluster-head.
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A mobility-based cluster formation algorithm for wireless mobile ad-hoc networks.pdf