Mobility Management for Critical Time and Delay Tolerant Applications in Vehicular Networks

Rose, G Gina; Gunasekaran, Rajkishan; Aishwarya, G.

doi:10.1109/icoac44903.2018.8939075

Cited by 3 publications

(1 citation statement)

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“…For example, the delay-dependent messages sent by vehicles need to be transmitted with extremely low transmission delay in the vehicular networks. This demand makes the vehicular networks must to satisfy ultra-low delay [5,6]. By definition, cloud computing is a new paradigm of computing, which refers to the network management, storage and centralized computing in clouds for providing resources [7].…”

Section: Introductionmentioning

confidence: 99%

Task Offloading Strategy and Simulation Platform Construction in Multi-User Edge Computing Scenario

2021

Electronics

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Various types of service applications increase the amount of computing in vehicular networks. The lack of computing resources of the vehicle itself will hinder the improvement of network performance. Mobile edge computing (MEC) technology is an effective computing method that is used to solve this problem at the edge of network for multiple mobile users. In this paper, we propose the multi-user task offloading strategy based on game theory to reduce the computational complexity and improve system performance. The task offloading decision making as a multi-user task offloading game is formulated to demonstrate how to achieve the Nash equilibrium (NE). Additionally, a task offloading algorithm is designed to achieve a NE, which represents an optimal or sub-optimal system overhead. In addition, the vehicular communication simulation frameworks Veins, SUMO model and OMNeT++ are adopted to run the proposed task offloading strategy. Numerical results show that the system overhead of the proposed task offloading strategy can degrade about 24.19% and 33.76%, respectively, in different scenarios.

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Section: Introductionmentioning

confidence: 99%