ECCN: an extended CCN architecture to improve data access in vehicular content-centric network

Niari, Ali Kazemi; Berangi, Reza

doi:10.1007/s11227-017-2126-3

Cited by 29 publications

(43 citation statements)

References 27 publications

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“…Furthermore, it is necessary to notify the vehicles prior to reaching the hazardous site. To respond to the minimum latency requirement, the current state of the art takes into account the push-based content model for safety-related content forwarding [ 23 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ]. Pushing content is useful for disseminating content over the geographic area.…”

Section: Introductionmentioning

confidence: 99%

“…Upon the reception of beacons, the vehicles create synthetic entries in the pending information table (PIT), which helps to accept the data pushed into the network. These schemes [ 23 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ] overlook the suppression of duplicate messages while forwarding and exchanging the messages with other vehicles. In contrast to the works of [ 33 , 34 , 35 , 36 , 37 , 38 , 39 ], just the work of [ 23 ] discusses the content-naming scheme considered in their safety content forwarding scheme.…”

Section: Introductionmentioning

confidence: 99%

“…These schemes [ 23 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ] overlook the suppression of duplicate messages while forwarding and exchanging the messages with other vehicles. In contrast to the works of [ 33 , 34 , 35 , 36 , 37 , 38 , 39 ], just the work of [ 23 ] discusses the content-naming scheme considered in their safety content forwarding scheme. The proposed naming scheme tends to be narrow in scope and can be used to represent just a particular application scenario [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

“…Simulations in an NS-3-based NDN simulator (ndnSIM) [ 40 , 41 ] to check the performance of the proposed scheme with relevant and state-of-the-art schemes [ 23 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

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Context-Aware Naming and Forwarding in NDN-Based VANETs

Zafar

Rehman

Jabeen

et al. 2021

Sensors

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Vehicular ad-hoc network (VANET) is a technology that allows ubiquitous mobility to mobile users. Inter-vehicle communication is an integral component of intelligent transportation systems that enables a wide variety of applications where vehicles interact and cooperate with each other, from safety applications to non-safety applications. VANETs applications have different needs (e.g., latency, reliability, delivery priorities, etc.) in terms of delivery effectiveness. In the last decade, named data networking (NDN) gained the attention of the research community for effective content retrieval and dissemination in mobile environments such as VANETs. In NDN, the content’s name has a vital role in storing and retrieving the content effectively and efficiently. In NDN-based VANETs, adaptive content dissemination solutions must be introduced that can make decisions related to forwarding, cache management, etc., based on context information represented by a content name. In this context, our main contributions are two-fold: (i) we present the hierarchical context-aware content-naming (CACN) scheme for NDN-based VANETs that enables naming the safety and non-safety applications, and (ii) we present a decentralized context-aware notification (DCN) protocol that broadcasts event notification information for awareness within the application-based geographical area. Simulation results show that the proposed DCN protocol succeeds in achieving reduced transmissions, bandwidth, and energy compared to existing critical contents dissemination protocols.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Simulations in an NS-3-based NDN simulator (ndnSIM) [ 40 , 41 ] to check the performance of the proposed scheme with relevant and state-of-the-art schemes [ 23 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

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Context-Aware Naming and Forwarding in NDN-Based VANETs

Zafar

Rehman

Jabeen

et al. 2021

Sensors

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“…Future Internet 2019, 11, 64 2 of 16 content. The core idea is that the content is placed in the first place, with the storage location of the content is no longer being of concern, only the content itself, and the content can come from the content server in the network, or it can be cached in any network node [9]. On the one hand, it can lighten the heavy protocol control load of the equipment, and on the other hand, the network can be controlled more flexibly and effectively.…”

mentioning

confidence: 99%

A Cache Placement Strategy with Energy Consumption Optimization in Information-Centric Networking

2019

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With the rapid development of cloud computing, big data, and Internet of Things, Information-Centric Networking (ICN) has become a novel hotspot in the field of future Internet architecture, and new problems have appeared. In particular, more researchers consider information naming, delivery, mobility, and security in ICN. In this paper, we mainly focus on the cache placement strategy and network performance of ICN, and propose a cache placement strategy with energy consumption optimization. In order to optimize the energy consumption of the ICN, the best cache placement node is selected from the view of users. First of all, the distance sequence of different nodes arriving at each user is obtained in terms of detection results of network distribution channels, and the corresponding energy consumption of information distribution is obtained from the distance sequence. Secondly, the reward function of the cache node is derived using two factors of energy consumption, which includes the additional energy consumed by the change of the cache node and the energy consumption of the content distribution. Finally, we construct the optimal stopping theory problem to solve the maximum expected energy saving. In simulations, we give the comparison results of energy savings, caching benefit, and delivery success rate. The results show that the strategy proposed by this paper has higher delivery success rate and lower energy consumption than other strategies.

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