Journal ArticleDOI
Delay-Tolerant Data Traffic to Software-Defined Vehicular Networks With Mobile Edge Computing in Smart City
Meng Li,Pengbo Si,Yanhua Zhang +2 more
TLDR
A novel vehicle network architecture in the smart city scenario, mitigating the network congestion with the joint optimization of networking, caching, and computing resources is proposed and formulated as a partially observable Markov decision process to minimize the system cost.Abstract:
With the explosion in the number of connected devices and Internet of Things (IoT) services in smart city, the challenges to meet the demands from both data traffic delivery and information processing are increasingly prominent. Meanwhile, the connected vehicle networks have become an essential part in smart city, bringing massive data traffic as well as significant communication, caching, and computing resources. As the two typical services types in smart city, delay-tolerant and delay-sensitive traffic requires very different quality of service (QoS)/quality of experience (QoE), and could be delivered through the routes with different features to meet their QoS/QoE requirements with the lowest costs. In this paper, we propose a novel vehicle network architecture in the smart city scenario, mitigating the network congestion with the joint optimization of networking, caching, and computing resources. Cloud computing at the data centers as well as mobile edge computing at the evolved node Bs and on-board units are taken as the paradigms to provide caching and computing resources. The programmable control principle originated from the software-defined networking paradigm has been introduced into this architecture to facilitate the system optimization and resource integration. With the careful modeling of the services, the vehicle mobility, and the system state, a joint resource management scheme is proposed and formulated as a partially observable Markov decision process to minimize the system cost, which consists of both network overhead and execution time of computing tasks. Extensive simulation results with different system parameters reveal that the proposed scheme could significantly improve the system performance compared to the existing schemes.read more
Citations
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Journal ArticleDOI
Vehicular Edge Computing and Networking: A Survey
TL;DR: A comprehensive survey of state-of-the-art research on VEC can be found in this paper, where the authors provide an overview of VEC, including the introduction, architecture, key enablers, advantages, challenges as well as several attractive application scenarios.
Posted Content
Vehicular Edge Computing and Networking: A Survey.
TL;DR: A comprehensive survey of state-of-art research on VEC, including the introduction, architecture, key enablers, advantages, challenges as well as several attractive application scenarios, is provided.
Journal ArticleDOI
A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing
TL;DR: A multi-agent deep reinforcement learning (MADRL) algorithm is proposed to maximize the composite utility of communication, computing, and route planning in a distributed way and substantially reduces service delay, migration cost and travel time as compared with the existing baselines.
Journal ArticleDOI
Efficient Computation Resource Management in Mobile Edge-Cloud Computing
TL;DR: An efficient wholesale scheme to determine the amount of the wholesaled computation resources, by which the total expected profit of the mobile edge server can be maximized, and a fast-convergent realtime buyback scheme for mobile edge servers to minimize the buyback cost.
Journal ArticleDOI
Joint Resource Allocation and Computation Offloading With Time-Varying Fading Channel in Vehicular Edge Computing
TL;DR: This paper investigates the utility maximization problem with task delay requirement constraints, in which the influence of time-varying channel on the task offloading strategies during thetask offloading period is considered.
References
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Journal ArticleDOI
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
TL;DR: An overview of the Internet of Things with emphasis on enabling technologies, protocols, and application issues, and some of the key IoT challenges presented in the recent literature are provided and a summary of related research work is provided.
Journal ArticleDOI
Fog and IoT: An Overview of Research Opportunities
Mung Chiang,Tao Zhang +1 more
TL;DR: This survey paper summarizes the opportunities and challenges of fog, focusing primarily in the networking context of IoT.
Journal ArticleDOI
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
TL;DR: An analytical framework for opportunistic spectrum access based on the theory of partially observable Markov decision process (POMDP) is developed and cognitive MAC protocols that optimize the performance of secondary users while limiting the interference perceived by primary users are proposed.
Journal ArticleDOI
The Optimal Control of Partially Observable Markov Processes over a Finite Horizon
TL;DR: In this article, the optimal control problem for a class of mathematical models in which the system to be controlled is characterized by a finite-state discrete-time Markov process is formulated.
Journal ArticleDOI
Delay-tolerant networking: an approach to interplanetary Internet
Scott Burleigh,A. Hooke,Leigh Torgerson,Kevin Fall,V. Cerf,B. Durst,Keith Scott,Howard Weiss +7 more
TL;DR: This work identifies three fundamental principles that would underlie a delay-tolerant networking (DTN) architecture and describes the main structural elements of that architecture, centered on a new end-to-end overlay network protocol called Bundling.
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