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Energy-Efficient Multimedia Data Dissemination in Vehicular Clouds: Stochastic-Reward-Nets-Based Coalition Game Approach
Thapar University, Patiala, Punjab, India.
Sangmyung University, Cheonan, South Korea.
La Trobe University, Melbourne, Victoria, Australia.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0003-4894-4134
2016 (English)In: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234, Vol. 10, no 2, 847-858 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate an energy efficiency issue for multimedia applications in a vehicular cloud environment. The problem of energy efficiency is formulated as a stochastic reward nets (SRNs)-based coalition game, in which vehicles are assumed as the players that formulate the coalition among themselves using a predefined criteria based on the demand generated and the available resources at the nearest cloudlet. A demand- and supply-based payoff value function is formulated for each player in the game. The processes and actions of the players are represented as SRNs in which each player should have a finite number of tokens to fire its actions. To reduce the delay, each vehicle accesses resources such as memory, processing power, and storage from the nearest cloudlet that may be either at the road side units deployed near the road or on the vehicles. The actions of the players are associated with a cardinality that represents the number of rewards and actions they have taken in a unit interval of time after interacting with an environment that is stochastic in this paper. For each action performed by the players, they may get feedback in the form of a reward or a penalty, according to which each player updates its action probability vector that helps them take the next actions in the game. An energy-efficient algorithm for frame scheduling using the nearest cloudlet is also proposed. The performance of the proposed algorithm is found to be satisfactory with respect to various evaluation metrics. In particular, there is an increment of 10%–15% in profit generation, with 20%–25% reduction in the delay, and an increment of 20% in the packet delivery ratio. © 2015 IEEE

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2016. Vol. 10, no 2, 847-858 p.
Keyword [en]
Coalition game, penalty, reward, stochastic reward nets (SRNs), vehicular clouds
National Category
Communication Systems Telecommunications
Identifiers
URN: urn:nbn:se:hh:diva-29908DOI: 10.1109/JSYST.2015.2409651ISI: 000383258600042Scopus ID: 2-s2.0-84925850279OAI: oai:DiVA.org:hh-29908DiVA: diva2:877450
Note

The work of J.-H. Lee was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning under Grant NRF-2014R1A1A1006770.

Available from: 2015-12-07 Created: 2015-12-07 Last updated: 2016-12-08Bibliographically approved

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CiteExportLink to record
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