ICN routing selecting scheme based on link quality for the urban vehicles’ communication

Rui, Lanlan; Guo, Hui; Shi, Ruichang; Huang, Haoqiu; Qiu, Xuesong

doi:10.1186/s13638-017-0991-3

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…The VANET-NDN was built in an urban scenario for retrieving content based on a preferred route. Routes were selected based on link quality in order to mitigate unnecessary retransmission [22]. Link quality was determined from the link expiration time and link availability probability.…”

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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“…The designed approach reduces message delivery latency and improves the message delivery ratio. Routing Selecting Based on the Link Quality (RSBLQ) estimation method was designed in [21] to find stable routes with minimum average delay. The RSBLQ estimation method failed to use a better routing scheme for enhancing the link quality.…”

Section: Introductionmentioning

confidence: 99%

Trilateral Location based Maximum Weighted Directive Spanning Tree for Optimal Routing in IoV

Devi¹,

Bhuvaneswari²

2021

IJC

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Internet of Vehicles (IoV) is one of the developing models in the Vehicular adhoc networks (VANETs) with the vast improvement of communication technologies. In order to improve data transmission among the multiple communities without link breakage, a novel Trilateral Location Identified Maximum Weighted Directive Spanning Tree (TLIMWDST) technique is introduced. The proposed TLIMWDST technique consists of two major phases, namely location identification and optimal path identification to improve the reliability of data transmission from source vehicle to destination vehicle. In the first phase, the location of the neighboring vehicles is identified by applying a trilateration technique. After the location identification, an optimal route path between the source and destination is identified using Maximum Weighted Directive Spanning Tree (MWDST) through the intermediate nodes. The performance of the TLIMWDST technique is assessed through simulation as compared to the previous path selection techniques in terms of different routing metrics such as packet delivery ratio, packet loss rate, end-to-end delay and throughput with respect to the number of data packets.

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A survey of data dissemination schemes in vehicular named data networking

Al-Omaisi

Sundararajan

Alsaqour

et al. 2021

Vehicular Communications

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ICN routing selecting scheme based on link quality for the urban vehicles’ communication

Cited by 5 publications

References 26 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

Trilateral Location based Maximum Weighted Directive Spanning Tree for Optimal Routing in IoV

A survey of data dissemination schemes in vehicular named data networking

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