Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs
| Autor: | Yousef Kilani, Amir Hussain, Albert Y. Zomaya, Ayoub Alsarhan, Ahmed Al-Dubai |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Vehicular ad hoc network
Computer Networks and Communications Computer science Clustering architecture Cognitive network Fuzzy logic Multi-criteria decision making Vehicular Ad-hoc Networks Distributed computing Node (networking) 004 Data processing & computer science QA75 Electronic computers. Computer science Stability (learning theory) Aerospace Engineering 020302 automobile design & engineering 02 engineering and technology Network topology Spectrum management Fuzzy logic AI and Technologies 0203 mechanical engineering Automotive Engineering Scalability Centre for Distributed Computing Networking and Security Electrical and Electronic Engineering Networks Cluster analysis |
| ISSN: | 0018-9545 1939-9359 |
| Popis: | Different studies have recently emphasized the importance of deploying clustering schemes in Vehicular ad hoc Network (VANET) to overcome challenging problems related to scalability, frequent topology changes, scarcity of spectrum resources, maintaining clusters stability, and rational spectrum management. However, most of these studies addressed the clustering problem using conventional performance metrics while spectrum shortage, and the combination of spectrum trading and VANET architecture have not been tackled so far. Thus, this paper presents a new fuzzy logic based clustering control scheme to support scalability, enhance the stability of the network topology, motivate spectrum owners to share spectrum and provide efficient and cost-effective use of spectrum. Unlike existing studies, our context-aware scheme is based on multi-criteria decision making where fuzzy logic is adopted to rank the multi-attribute candidate nodes for optimizing the selection of cluster heads (CH)s. Criteria related to each candidate node include: received signal strength, speed of vehicle, vehicle location, spectrum price, reachability, and stability of node. Our model performs efficiently, exhibits faster recovery in response to topology changes and enhances the network efficiency life time. |
| Databáze: | OpenAIRE |
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