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Proceedings ArticleDOI

Toward mobility support for information-centric IoV in smart city using fog computing

TLDR
Fog computing is integrated into information-centric IoV to provide mobility support by allocating different schema taking account of the data characteristic to design a mobility support mechanism for data exchange and communication considering the feature of IoV service.
Abstract
As a meaningful and typical application scenario of Internet of Things (IoT), Internet of Vehicles (IoV) has attracted a lot of attentions to solve the increasingly severe problem of traffic congestion and safety issues in smart city Information-centric networks (ICN) is a main stream of next generation network because of its content based forwarding strategy and in-network caching properties Many existing works have been done to introduce ICN in IoV because of IP-based network architecture's maladjustment of such extremely mobile and dynamic IoV environment In contrast, ICN is able to sustain packet delivery in unreliable and extreme environment However, the frequent mobility of the vehicles will consume ICN's network resources to incessantly update the Forward Information Base (FIB) which will further affect the aggregation processing For example, geographic location based name schema aggregation will be affected dramatically by mobility problem On the other hand, fog computing is an edge computing technology usually integrated with IoT by bringing computation and storage capacity near the underlying networks to provide low-latency and time sensitive services In this paper, we integrate fog computing into information-centric IoV to provide mobility support by allocating different schema taking account of the data characteristic (eg, user-shareable data, communication data) Moreover, we use the computation, storage and location-aware capabilities of fog to design a mobility support mechanism for data exchange and communication considering the feature of IoV service (eg, alarm danger in local, updating traffic information, V2V communication etc) We evaluate related performances of the proposed mechanism in high mobility environment, compared with original information-centric IoV The result shows the advantages of a fog computing based information-centric IoV

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Citations
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Journal ArticleDOI

Named Data Networking in Vehicular Ad Hoc Networks: State-of-the-Art and Challenges

TL;DR: Inspired by the extensive research results in NDN-based VANET, this paper provides a detailed and systematic review ofNDN-driven VANet and discusses the feasibility of NDN architecture in VANets environment.
Journal ArticleDOI

An energy-aware computation offloading method for smart edge computing in wireless metropolitan area networks

TL;DR: An Energy-Aware Computation Offloading method, named EACO, is designed to reduce the energy consumption of edge computing nodes by adopting Non-dominated Sorting Genetic Algorithm II (NSGA-II) and exploiting Multiple Criteria Decision Marking and Simple Additive Weighting to select the optimal offloading solution.
Journal ArticleDOI

An overview of security and privacy in smart cities' IoT communications

TL;DR: Main applications of smart cities are highlighted, some of the current solutions regarding the security and privacy of information-centric smart cities' applications are reviewed and future research challenges that still need to be considered for performance improvement are presented.
Journal ArticleDOI

Fog Computing Applications in Smart Cities: A Systematic Survey

TL;DR: A systematic literature review of current works that have been done in the area of fog computing applications in smart cities and a different analytical comparison of related works, the trends, and future research directions are pointed out in this article.
Journal ArticleDOI

Deployment and Dimensioning of Fog Computing-Based Internet of Vehicle Infrastructure for Autonomous Driving

TL;DR: This paper investigates the problem of optimal deployment and dimensioning (ODD) of fog computing-based IoV infrastructure for AD and presents two diverse architecture modes, i.e., the coupling mode (CRF) and the decoupling mode (DRF), and formulate the ODD problem into two integer linear programming formulations with the objective of minimizing the deployment cost.
References
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Proceedings ArticleDOI

Networking named content

TL;DR: Content-Centric Networking (CCN) is presented, which treats content as a primitive - decoupling location from identity, security and access, and retrieving content by name, using new approaches to routing named content.
Journal ArticleDOI

Networking named content

TL;DR: Content-Centric Networking (CCN) is presented which uses content chunks as a primitive---decoupling location from identity, security and access, and retrieving chunks of content by name, and simultaneously achieves scalability, security, and performance.
Proceedings ArticleDOI

Fog Computing and Smart Gateway Based Communication for Cloud of Things

TL;DR: This paper has discussed the IoT-Cloud computing integration in detail in detail and presented the architecture of Smart Gateway with Fog Computing, which has tested this concept on the basis of Upload Delay, Synchronization Delay, Jitter, Bulk-data upload Delay, and Bulk- data synchronization delay.
Journal ArticleDOI

Information-centric networking for connected vehicles: a survey and future perspectives

TL;DR: The analysis shows that, thanks to features like named content retrieval, innate multicast support, and in-network data caching, information-centric networking is positioned to meet the challenging demands of vehicular networks and their evolution.
Journal ArticleDOI

A Hierarchical Security Framework for Defending Against Sophisticated Attacks on Wireless Sensor Networks in Smart Cities

TL;DR: A hierarchical framework based on chance discovery and usage control (UCON) technologies to improve the security of WSNs while still taking the low-complexity and high security requirements of W SNs into account is proposed.
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