Intelligent popularity-aware content caching and retrieving in highway vehicular networks

Quan, Wei; Liu, Yana; Jiang, Xicheng; Guan, Jianfeng

doi:10.1186/s13638-016-0688-z

Cited by 20 publications

(12 citation statements)

References 36 publications

(29 reference statements)

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“…However, when the link quality was measured, the existence of a broadcast storm was detected. A caching-based strategy was proposed in VNDN for retrieving requested content [25], [26]. The cache was focused on an estimation of the popularity of the content [27].…”

Section: Related Workmentioning

confidence: 99%

Stabilized Clustering Enabled V2V Communication in an NDN-SDVN Environment for Content Retrieval

et al. 2020

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Content retrieval is becoming an emerging application on an integrated network structure referred to as Software Defined Network and Vehicular Ad hoc Network (SDVN). The SDVN is expected to flexibly provide efficient packet routing without deploying road side units. In such the infrastructure-less environment, however, it is challenging to retrieve contents from dynamic networks clustered with vehicles on roadways. As a solution to the problem, we propose a new network design by conjoining Named Data Network (NDN) with SDVN (NDN-SDVN). The new NDN-SDVN is designed as to improve stableness of the cluster formation and hence enables to efficiently perform the content retrieval over Vehicle-to-Vehicle (V2V) communications. Note that one of the most important problems in the V2V is how to select a cluster head. The proposed NDN-SDN adaptively determines the cluster head by using the SDN controller under the maximum Quality of Service (QoS) criterion, while reserving an assistance head based on a Moth Flame Optimization (MFO) algorithm to immediately recompose a new cluster with the back-off time. Moreover, the content retrieval in the NDN-SDVN can be performed over both intra-and inter-cluster communications. To this end, a Kalman filter with Neural Network (KF-NN) is applied for selecting a certain number of preferable vehicles in 1-hop in order to mitigate the broadcast storm problem that often occurs in an NDN. Content retrieval is initiated by sending interest packets including two additional fields of the timestamp and the target MAC address. The head vehicle of the SDN controller maintains ontology regarding the content information cashed by other vehicles, which significantly improves the packet delivery ratio. This NDN-SDVN design is developed on the OMNeT++ simulator and their advantageous results are evaluated in terms of the head lifetime, the cluster lifetime, the satisfactory rate, the latency and the packet delivery ratio.

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Section: Related Workmentioning

confidence: 99%

Stabilized Clustering Enabled V2V Communication in an NDN-SDVN Environment for Content Retrieval

et al. 2020

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“…Generally, caching techniques for mobile nodes have a basic idea for subscribing a user to a content producer [28], [47], prefetching content to other router that will handle consumer [19], [20], collaborate the data transmission mode for VANET [44], and mobile node support techniques that consider an energy [48]. In the mobile environment, the problems are NDN nodes always move, including routers, producers, and consumers [21].…”

Section: Caching For Themobile Nodementioning

confidence: 99%

“…Paper [20] explain the mechanism to support producer mobility, such as push to send the data, make some copies of data, determine the content placement, and re-announce if they move to another area. Paper [44] propose VANET's communication mode switching, Vehicle-to-vehicle (V2V) and vehicle-toinfrastructure (V2I), depending on the popularity of downloaded content. Mobile node has the limited power, so the caching process has to consider the energy consumption in the node, due to green NDN as explained in [49].…”

Section: Caching For Themobile Nodementioning

confidence: 99%

“…Currently, the cached content on the NDN router can be either a file or smaller, called chunk [9] [44]. Chunk-based systems will make the transmission process more efficient because if a chunk is lost during transmission or it is deleted in CS, it only needs to be replaced with a new chunk without having to replace the whole file.…”

Section: Type Of Data On Content Storementioning

confidence: 99%

See 1 more Smart Citation

Caching on Named Data Network: a Survey and Future Research

Yovita

Syambas

2018

IJECE

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The IP-based system cause inefficient content delivery process. This inefficiency was attempted to be solved with the Content Distribution Network. A replica server is located in a particular location, usually on the edge router that is closest to the user. The user’s request will be served from that replica server. However, caching on Content Distribution Network is inflexible. This system is difficult to support mobility and conditions of dynamic content demand from consumers. We need to shift the paradigm to content-centric. In Named Data Network, data can be placed on the content store on routersthat are closest to the consumer. Caching on Named Data Network must be able to store content dynamically. It should be selectively select content that is eligible to be stored or deleted from the content storage based on certain considerations, e.g. the popularity of content in the local area. This survey paper explains the development of caching techniques on Named Data Network that are classified into main points. The brief explanation of advantages and disadvantages are presented to make it easy to understand. Finally, proposed the open challenge related to the caching mechanism to improve NDN performance.

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“…In "Intelligent popularity-aware content caching and retrieving in highway vehicular networks" [16], Quan et al propose a novel popularity-aware content caching and retrieving strategy in VANETs named P-CCR, which innovatively considers the information-centric networking (ICN) perspective into vehicles' mobility and vehicular wireless communication in highway scenarios. The performance analysis shows that the proposed P-CCR solution significantly reduces delay and the number of interest packets, which can reduce network loads and avoid wasting resources.…”

Section: Performance Analysis Of Intelligent Mobility Protocols and Amentioning

confidence: 99%

A brief overview of intelligent mobility management for future wireless mobile networks

You

Chen

Zeadally

et al. 2017

J Wireless Com Network

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Intelligent popularity-aware content caching and retrieving in highway vehicular networks

Cited by 20 publications

References 36 publications

Stabilized Clustering Enabled V2V Communication in an NDN-SDVN Environment for Content Retrieval

Stabilized Clustering Enabled V2V Communication in an NDN-SDVN Environment for Content Retrieval

Caching on Named Data Network: a Survey and Future Research

A brief overview of intelligent mobility management for future wireless mobile networks

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