NDLI: Optimized clustering for data dissemination using stochastic coalition game in vehicular cyber-physical systems

Content Provider	Springer Nature Link
Author	Kumar, Neeraj Bali, Rasmeet Singh Iqbal, Rahat Chilamkurti, Naveen Rho, Seungmin
Copyright Year	2015
Abstract	Vehicular cyber-physical systems (VCPS) have emerged as one of the most powerful technologies for providing cost-effective services to the end users with minimum delay even with high mobility of the end users. As the contact time of the vehicles with the nearest access points is very less, so by integrating vehicles with the cloud environment can provide various services to the end users even with their high mobility. Keeping focus on these points, this paper proposed a new optimized strategy selection for data dissemination using a stochastic coalition game in VCPS environment. Vehicles in the coalition game are assumed as the players of the game which access a finite number of resources from the cloud. Learning automata (LA) stationed on the vehicles collect and process the information from the environment based upon pre-defined strategies. They are assumed to form a coalition based upon predictive clustering among one another using a pre-defined metric. Based upon the payoff matrix, each player executes, algorithms for cluster and leadership formation. Moreover, an algorithm for centralized supervision is also designed. At any instant in the game, only those players are allowed to make a move which are having highest payoff value so as to make a balance with respect to the moves taken by all the players in the game. The performance of the proposed scheme is evaluated using various evaluation metrics in different network scenarios. The results obtained show that the proposed scheme is better than the case where it is not applied. Specifically, there is an increase of 10–20 % in packet delivery ratio and 20 % reduction in delay in accessing various services from the cloud using the proposed scheme.
Starting Page	3258
Ending Page	3287
Page Count	30
File Format	PDF
ISSN	09208542
Journal	The Journal of Supercomputing
Volume Number	71
Issue Number	9
e-ISSN	15730484
Language	English
Publisher	Springer US
Publisher Date	2015-05-07
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Vehicular networks Data dissemination Cyber-physical systems Game theory Learning Programming Languages, Compilers, Interpreters Processor Architectures Computer Science
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Information Systems Hardware and Architecture Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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