Data Forwarding Scheme for Vehicle Tracking in Named Data Networking

Hou, Rui; Zhou, Shuo; Cui, Mengtian; Zhou, Lingyun; Zeng, Deze; Luo, Jiangtao

doi:10.1109/tvt.2021.3081448

Cited by 24 publications

(9 citation statements)

References 34 publications

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“…Thanks to the proximity of the V2V communication, it provides high data rates, and minimizes end to end latency and power consumption [6]. With the rapid increase in the number of connected vehicles [7] the global vehicular data traffic is growing exponentially due to data intensive applications such as digital map navigation systems, augmented reality (AR) aided driving, autonomous driving, games and other infotainment applications. Conventionally, content dissemination is handled by the V2N communication link [8].…”

Section: Takedownmentioning

confidence: 99%

“…In this paper, we propose a QoS aware content dissemination based on integrated social and physical attributes among cellular and V2V users. In the physical domain unlike the works in [7], [11], [18] we consider spectrum reuse in both uplink and downlink phase. To minimize mutual interference due to channel sharing, V2V users with minimum interference level are grouped in to a cluster.…”

Section: Takedownmentioning

confidence: 99%

“…Most content dissemination schemes consider only the physical layer data [7], [10], [11], [15] such as vehicle centrality, the distance between V2V pair, and the mobility path of the vehicles. This approach enhances content distribution to many users as possible.…”

Section: Related Workmentioning

confidence: 99%

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QoS-Aware Content Dissemination Based on Integrated Social and Physical Attributes Among Cellular and V2V Users

Bute

Fan

Luo

et al. 2023

IEEE Trans. Veh. Technol.

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With the recent advancement in intelligent transportation systems (ITS), the vehicular network has become the major force in content dissemination, and it is essential to improve efficiency in content delivery and quality and service (QoS). The rapid growth in vehicular data traffic and limited resources in the vehicular network have created a bottleneck in content dissemination. In addition, the demand of high data rate, low latency and user's satisfaction on content make content dissemination more challenging. To address the above problem which involves vehicle to vehicle (V2V) peer discovery and resource allocation, we propose an efficient content dissemination scheme which integrates both social and physical attributes of the users. V2V users are paired to share content based on the similarity in their preferences and link reliability, while considering the QoS of vehicle to network (V2N) users in both uplink and downlink phases. Moreover, we present an improved matching algorithm for channel allocation, which maximizes the sum rate of V2V pairs weighted by the intensity of their social relationship. Simulation results demonstrate the performance of the proposed scheme in terms of weighted sum rate and user's satisfaction on content.

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Section: Takedownmentioning

confidence: 99%

Section: Takedownmentioning

confidence: 99%

See 1 more Smart Citation

QoS-Aware Content Dissemination Based on Integrated Social and Physical Attributes Among Cellular and V2V Users

Bute

Fan

Luo

et al. 2023

IEEE Trans. Veh. Technol.

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“…If the data requester wants to obtain the secret, it must match its own attributes with the corresponding attributes in the node. A non-leaf node is actually a threshold node [13]. The attributes of the data requester should at least meet the minimum threshold of the corresponding attributes under the node.…”

Section: Design Of Data Security Access Tree Structure Of Internet Of...mentioning

confidence: 99%

Design of a Data Security Access Control Algorithm for the Electric Vehicle Internet of Vehicles Based on Blockchain Technology

Jia

2022

WEVJ

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The data transmission in the vehicle network is easily interfered with by the outside world, which makes the security of data access difficult to provide in order to meet the actual needs. Therefore, a data security access control algorithm for an electric vehicle network based on blockchain technology is proposed. Using the double-chain architecture of analliance chain-private chain in a blockchain, the distributed database of data communication for vehicle networking is constructed. In the process of vehicle network communication, the longshort-term memory neural network is introduced to analyze the risk of communication behavior. A generator and discriminator are used to avoid communication risk behavior and realize secure access to data. The experimental results show that the success rate of data tampering is lower than 0.09 when this design method is used to deal with external intrusion, and it has high security.

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“…Due to the benefits of NDN over traditional IP-based networking, new designs have been created to implement the VANET by using the NDN architecture [ 14 ]. Named Data Network (NDN)-enabled VANET is known as Vehicular NDN (VNDN), which has emerged as a viable data distribution option for connected vehicles (cars) [ 15 ]. Instead of safeguarding a communication connection, NDN encrypts data.…”

Section: Introductionmentioning

confidence: 99%

Novel Fuzzy Logic Scheme for Push-Based Critical Data Broadcast Mitigation in VNDN

Khan

Lim

2022

Sensors

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Vehicular Named Data Networking (VNDN) is one of the potential and future networking architectures that allow Connected and Autonomous Vehicles (CAV) to exchange data by simply disseminating the content over the network. VNDN only supports a pull-based data forwarding model, where the content information is forwarded upon request. However, in critical situations, it is essential to design a push-based data forwarding model in order to broadcast the critical data packets without any requests. One of the challenges of push-based data forwarding in VNDN is the broadcasting effect, which occurs when every vehicle broadcasts critical information over the network. For instance, in emergency situations such as accidents, road hazards, and bad weather conditions, the producer generates a critical data packet and broadcasts it to all the nearby vehicles. Subsequently, all vehicles broadcast the same critical data packet to each other, which leads to a broadcast storm on the network. Therefore, this paper proposes a Fuzzy Logic-based Push Data Forwarding (FLPDF) scheme to mitigate the broadcast storm effect. The novelty of this paper is the suggestion and application of a fuzzy logic approach to mitigate the critical data broadcast storm effect in VNDN. In the proposed scheme, vehicles are grouped into clusters using the K-means clustering algorithm, and then Cluster Heads (CHs) are selected using a fuzzy logic approach. A CH is uniquely responsible for broadcasting the critical data packets to all other vehicles in a cluster. A Gateway (GW) has the role of forwarding the critical data packets to the nearest clusters via their GWs. The simulation results show that the proposed scheme outperforms the naive method in terms of transmitted data packets and efficiency. The proposed scheme generates five times fewer data packets and achieves six times higher efficiency than the naive scheme.

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Data Forwarding Scheme for Vehicle Tracking in Named Data Networking

Cited by 24 publications

References 34 publications

QoS-Aware Content Dissemination Based on Integrated Social and Physical Attributes Among Cellular and V2V Users

QoS-Aware Content Dissemination Based on Integrated Social and Physical Attributes Among Cellular and V2V Users

Design of a Data Security Access Control Algorithm for the Electric Vehicle Internet of Vehicles Based on Blockchain Technology

Novel Fuzzy Logic Scheme for Push-Based Critical Data Broadcast Mitigation in VNDN

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