Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment

Abstract

Providing Healthcare Services On-the-Fly Using Multi-player Cooperation Game Theory in Internet of Vehicles (IoV) Environment, Digital Communications and Networks, http://dx. AbstractInternet of Vehicles (IoV) is a leading technology of the present era. It has gained huge attention with respect to its implementation in wide variety of domains ranging from traffic safety to infotainment applications. However, IoV can also be extended to healthcare domain, where the patients can be provided healthcare services on-the-fly. We extend this novel concept in this paper and refer it as "Healthcare services on-the-fly". The concept of game theory has been used among the vehicles that seek to access the healthcare services while traveling. The vehicles act as players in the game and tend to form and split coalitions to access these services. A learning automata (LA) is also coupled with the proposed game theoretical strategy. LA helps the players to interact with the environment and take appropriate actions based on reward and penalty. Apart from this, Virtual Machine (VM) scheduling algorithm for efficient utilization of resources at cloud level has also been formulated. A stochastic reward net (SRN)-based model is used to represent the coalition formation and splitting with respect to availability of these resources. The performance of the proposed scheme is evaluated using various performance evaluation metrics. The results obtained proves the effectiveness of the proposed scheme in comparison to the best, first and random fit schemes.

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