A Mobility Prediction-Based Relay Cluster Strategy for Content Delivery in Urban Vehicular Networks

In recent years, cache-enabled vehicles have been introduced to improve the efficiency of content delivery in vehicular networks. However, because of the high dynamic of network topology, it is a big challenge to increase the success probability of content delivery. In this paper, we propose a relay strategy based on cluster’s prediction trajectory for the situation of no cache near the request vehicles. In our strategy, the roadside unit (RSU) divides vehicles into clusters by their prediction trajectory, and then proactively caches contents at a cluster that will be about to meet the request vehicle. In order to decrease the probability of unsuccessful content delivery caused by communication duration that is too short between the request vehicle and content source vehicle, RSU caches content chunks at multiple vehicles in a cluster. By letting the request vehicle communicate with vehicle-caching content chunks one by one, our strategy enlarges the communication duration and increases the success probability. Our strategy also maximizes the success probability by optimizing the number of vehicles selected to cache content chunks. Besides, based on statistical characteristics of vehicles’ speed, we derive the formula of success probability of content delivery. The simulation results show that our strategy can increase the success probability of content delivery, as well as decrease time delay, for example. For example, we increase the success probability by about 20%. Since the trajectory prediction-based cluster-dividing mechanism can improve clusters’ stability at intersections, this method is well suited for urban road scenarios.

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Secure and DoS-Resilient Fragment Authentication in CCN-Based Vehicular Networks

Wireless Communications and Mobile Computing ◽

10.1155/2018/8071267 ◽

2018 ◽

Vol 2018 ◽

pp. 1-12

Author(s):

Sangwon Hyun ◽

Hyoungshick Kim

Keyword(s):

Vehicular Networks ◽

Denial Of Service ◽

Content Delivery ◽

Dos Attacks ◽

Promising Alternative ◽

Content Centric Networking ◽

Transmission Unit ◽

Communication Environments ◽

Maximum Transmission

Content-Centric Networking (CCN) is considered as a promising alternative to traditional IP-based networking for vehicle-to-everything communication environments. In general, CCN packets must be fragmented and reassembled based on the Maximum Transmission Unit (MTU) size of the content delivery path. It is thus challenging to securely protect fragmented packets against attackers who intentionally inject malicious fragments to disrupt normal services on CCN-based vehicular networks. This paper presents a new secure content fragmentation method that is resistant to Denial-of-Service (DoS) attacks in CCN-based vehicular networks. Our approach guarantees the authenticity of each fragment through the immediate fragment verification at interim nodes on the routing path. Our experiment results demonstrate that the proposed approach provides much stronger security than the existing approach named FIGOA, without imposing a significant overhead in the process. The proposed method achieves a high immediate verification probability of 98.2% on average, which is 52% higher than that of FIGOA, while requiring only 14% more fragments than FIGOA.

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Roadside-unit caching in vehicular ad hoc networks for efficient popular content delivery

2015 IEEE Wireless Communications and Networking Conference (WCNC) ◽

10.1109/wcnc.2015.7127641 ◽

2015 ◽

Cited By ~ 1

Author(s):

Ruizhou Ding ◽

Tianyu Wang ◽

Lingyang Song ◽

Zhu Han ◽

Jianjun Wu

Keyword(s):

Ad Hoc Networks ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Content Delivery ◽

Roadside Unit ◽

Hoc Networks

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Roadside Unit Allocation for Fog-based Information Sharing in Vehicular Networks

Proceedings of the 1st ACM International Workshop on Smart Cities and Fog Computing - CitiFog'18 ◽

10.1145/3277893.3277897 ◽

2018 ◽

Cited By ~ 1

Author(s):

Elmer R. Magsino ◽

Ivan Wang-Hei Ho

Keyword(s):

Information Sharing ◽

Vehicular Networks ◽

Roadside Unit

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Impact analysis of two kinds of failure strategies in Beijing road transportation network

International Journal of Modern Physics C ◽

10.1142/s0129183118500055 ◽

2018 ◽

Vol 29 (01) ◽

pp. 1850005

Author(s):

Zundong Zhang ◽

Xiaoyang Xu ◽

Zhaoran Zhang ◽

Huijuan Zhou

Keyword(s):

Network Model ◽

Transportation Network ◽

Dynamic Network ◽

Network Models ◽

Global Network ◽

Statistical Characteristics ◽

Road Transportation ◽

Road Infrastructure ◽

Urban Road ◽

Infrastructure Network

The Beijing road transportation network (BRTN), as a large-scale technological network, exhibits very complex and complicate features during daily periods. And it has been widely highlighted that how statistical characteristics (i.e. average path length and global network efficiency) change while the network evolves. In this paper, by using different modeling concepts, three kinds of network models of BRTN namely the abstract network model, the static network model with road mileage as weights and the dynamic network model with travel time as weights — are constructed, respectively, according to the topological data and the real detected flow data. The degree distribution of the three kinds of network models are analyzed, which proves that the urban road infrastructure network and the dynamic network behavior like scale-free networks. By analyzing and comparing the important statistical characteristics of three models under random attacks and intentional attacks, it shows that the urban road infrastructure network and the dynamic network of BRTN are both robust and vulnerable.

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