Dynamic Entropy Based Combination Weighted Clustering Approach for High-Speed Ad hoc Network

Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Mobility
Format: PDF
Weight based clustering has become the mainstream clustering algorithm in low-speed ad hoc networks because of its excellent cluster stability. However, due to the dynamic topology changing in high-speed ad hoc network, the cluster stability (network stability) decreased and the cluster maintenance costs increased sharply. To solve the problem, the authors propose a Dynamic Entropy based Combination Weighted clustering approach (DECW). First, according to the history messages of an evaluation node in the network, the upper bound and the lower bound value of each clustering index will be recorded, so the information entropy deviation of the indexes and dynamic entropy weight of each node can be obtained.

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