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Original paper

An Evolutionary Game Theoretic Approach for Stable and Optimized Clustering in VANETs

Volume: 67, Issue: 5, Pages: 4501 - 4513
Published: May 1, 2018
Abstract
Discovering and maintaining efficient routes for data dissemination in vehicular ad hoc networks (VANETs) has proven to be a very challenging problem. Clustering is one of the control protocols used to provide efficient and stable routes for data dissemination. However, the rapid changes in network topology in VANETs creates frequent cluster reformation, which can seriously affect route stability. We propose a novel evolutionary game theoretic...
Paper Details
Title
An Evolutionary Game Theoretic Approach for Stable and Optimized Clustering in VANETs
Published Date
May 1, 2018
Volume
67
Issue
5
Pages
4501 - 4513
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