A heterogenous network selection algorithm for internet of vehicles based on comprehensive weight
| Autor: | Hongyi Zhang, Chenwei Feng, Fuchun Jiang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Service (systems architecture)
Computer science Optimal network 020209 energy media_common.quotation_subject Heterogeneous network 02 engineering and technology 01 natural sciences 010305 fluids & plasmas 0103 physical sciences Internet of Vehicles (IoV) 0202 electrical engineering electronic engineering information engineering Entropy (information theory) Entropy method Function (engineering) Selection algorithm Selection (genetic algorithm) media_common business.industry General Engineering Engineering (General). Civil engineering (General) Comprehensive weight The Internet Mobile telephony TA1-2040 business Internet of Things Computer network |
| Zdroj: | Alexandria Engineering Journal, Vol 60, Iss 5, Pp 4677-4688 (2021) |
| ISSN: | 1110-0168 |
| Popis: | With the development of mobile communications and Internet of things (IoT), the Internet of vehicles (IoV) has become commonplace. To integrate the heterogenous IoV networks, this paper mainly explores the heterogenous network selection mechanism for the IoV. Considering the diversity of IoV networks, the authors proposed a heterogenous network selection algorithm based on comprehensive weight. Based on different service scenarios and user preferences, the proposed algorithm obtains the subjective weights of candidate networks, calculates the objective weights of judgement indices by entropy method, and combines the subjective and objective weights into a comprehensive weight. On this basis, the candidate networks were analyzed by the utility function (UF), and the optimal network was selected for access. The research results provide a reference for high-quality access to heterogenous networks. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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