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Fuzzy Relevance-Based Clustering for Routing Performance Enhancement in Wireless Ad-Hoc Networks  

Lee, Chong-Deuk (Div. of Electronic Engineering, Chonbuk National University)
Publication Information
Journal of Advanced Navigation Technology / v.14, no.4, 2010 , pp. 495-503 More about this Journal
Abstract
The clustering is an important mechanism thai provides information for mobile nodes efficiently and improves the processing capacity for routing and the allocation of bandwidth. This paper proposes a clustering scheme based on the fuzzy relevance degree to solve problems such as node distribution found in the dynamic property due to mobility and flat structure and to enhance the routing performance. The proposed scheme uses the fuzzy relevance degree, ${\alpha}$, to select the cluster head for clustering in FSV (Fuzzy State Viewing) structure. The fuzzy relevance ${\alpha}$ plays the role in CH selection that processes the clustering in FSV. The proposed clustering scheme is used to solve problems found in existing 1-hop and 2-hop clustering schemes. NS-2 simulator is used to verify the performance of the proposed scheme by simulation. In the simulation the proposed scheme is compared with schemes such as Lowest-ID, MOBIC, and SCA. The simulation result showed that the proposed scheme has better performance than the other existing compared schemes.
Keywords
mobility; FSV; fuzzy relevance degree; cluster head;
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