Delay-Constrained Routing via Heterogeneous Vehicular Communications in Software Defined BusNet

Wang, Junhua; Li, Kai; Xiao, Ke; Wang, Xiumin; Han, Qingwen; Lee, Victor C. S.

doi:10.1109/tvt.2019.2909923

Cited by 25 publications

(9 citation statements)

References 26 publications

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“…Besides, routing design with buses based on SDN in the city network has also been excavated to solve the problem of the lack of calculation capacity and space sparsity of vehicle distribution. Wang et al [14] designed a BusNet, using buses as service providers, to forward response packets and introduce SDN into BusNet, believing that the SDN controller is fitted for the role of routing path decision-maker. ey employed three communication performance parameters-packet loss, delivery delay, and path accessibility-as the index for routing path selection, but did not discuss the weight feature of the selected index.…”

Section: Related Workmentioning

confidence: 99%

“…Researchers are more inclined towards adopting an opportunistic routing strategy [13], which utilizes a set of candidate nodes and discovers the shortest path according to index metric. Literature [14] employed three communication performance parameters-packet loss, delivery delay, and path accessibility-as the index for routing path selection but did not discuss the weight feature of the selected index. Hence, in this paper, we use the index metric of literature [14] and focus on the weight factor optimization.…”

Section: Introductionmentioning

confidence: 99%

“…Literature [14] employed three communication performance parameters-packet loss, delivery delay, and path accessibility-as the index for routing path selection but did not discuss the weight feature of the selected index. Hence, in this paper, we use the index metric of literature [14] and focus on the weight factor optimization.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Vehicular Service-Oriented Dynamical Routing Searching Algorithm in Software-Defined BusNet

Zeng

Cheng

Han

et al. 2020

Mobile Information Systems

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With the development of the vehicular network, BusNet-based service is of great interest to both bus companies and public users. How to provide service and ensure service quality is considered as key points for the promotion of such kinds of applications. In this paper, a system architecture, which is designed based on multiaccess edge computing (MEC) architecture and software-defined network (SDN), is proposed. Moreover, considering the problem of the dynamicity of the network, a new routing path optimization algorithm, SPSO (serial particle swarm optimization), is proposed, while a dynamic weight matrix is used to improve routing performance. The comprehensive simulation results demonstrate that the proposed method can well adapt to the dynamic change of network topology and improve communication performance significantly.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Vehicular Service-Oriented Dynamical Routing Searching Algorithm in Software-Defined BusNet

Zeng

Cheng

Han

et al. 2020

Mobile Information Systems

Self Cite

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“…Apparently, these two types of information should be transmitted with low delay, where the exchange of the instantaneous information between adjacent vehicles using V2V links is inherently more delay-sensitive than V2I communications. Moreover, since the spectrum resources are quite limited in existing cellular systems, how to effectively provide differentiated QoS guarantees for different traffic is a critical issue for vehicular communication networks [6].…”

Section: Introductionmentioning

confidence: 99%

Effective Capacity Maximization in beyond 5G Vehicular Networks: A Hybrid Deep Transfer Learning Method

Huang

You-yuan

et al. 2021

Wireless Communications and Mobile Computing

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How to improve delay-sensitive traffic throughput is an open issue in vehicular communication networks, where a great number of vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) links coexist. To address this issue, this paper proposes to employ a hybrid deep transfer learning scheme to allocate radio resources. Specifically, the traffic throughput maximization problem is first formulated by considering interchannel interference and statistical delay guarantee. The effective capacity theory is then applied to develop a power allocation scheme on each channel reused by a V2I and a V2V link. Thereafter, a deep transfer learning scheme is proposed to obtain the optimal channel assignment for each V2I and V2V link. Simulation results validate that the proposed scheme provides a close performance guarantee compared to a globally optimal scheme. Besides, the proposed scheme can guarantee lower delay violation probability than the schemes aiming to maximize the channel capacity.

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“…The first type happens between the vehicle and the infrastructure deployed on the roads, referred as RSUs, which communicate with nearby vehicles. V2V communication is typically used for broadcast safety messages like pre-collision warning, electronic road signs, traffic light violation warning, online vehicle diagnosis, and road condition detection from vehicles to other nearby vehicles [6].…”

Section: Introductionmentioning

confidence: 99%

Efficient Privacy-Preserving Scheme for Location Based Services in VANET System

2020

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A Vehicular Ad-hoc Network (VANET) is a type of Mobile Ad-hoc Network (MANET) that is used to provide communications between nearby vehicles, and between vehicles and fixed infrastructure on the roadside. VANET is not only used for road safety and driving comfort but also for infotainment. Communication messages in VANET can be used to locate and track vehicles. Tracking can be beneficial for vehicle navigation using Location Based Services (LBS). However, it can lead to threats on location privacy of vehicle users; since it can profile them and track their physical location. Therefore, to successfully deploy LBS, user's privacy is one of major challenges that must be addressed. In this paper, we propose Privacy-Preserving Fully Homomorphic Encryption over Advanced Encryption Standard (P 2 FHE-AES) scheme for LBS query. This scheme is required for location privacy protection to encourage drivers to use this service without any risk of being pursued. It is implemented using Network Simulator (NS-2), Simulation of Urban Mobility (SUMO), and Cloud simulation (CloudSim). Analysis and evaluation results demonstrate that P 2 FHE-AES scheme can preserve the privacy of the drivers' future routes in an efficient and secure way. The results prove the feasibility and efficiency of P 2 FHE-AES scheme in terms of query's response time, query accuracy, throughput and query overhead.

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Delay-Constrained Routing via Heterogeneous Vehicular Communications in Software Defined BusNet

Cited by 25 publications

References 26 publications

A Vehicular Service-Oriented Dynamical Routing Searching Algorithm in Software-Defined BusNet

A Vehicular Service-Oriented Dynamical Routing Searching Algorithm in Software-Defined BusNet

Effective Capacity Maximization in beyond 5G Vehicular Networks: A Hybrid Deep Transfer Learning Method

Efficient Privacy-Preserving Scheme for Location Based Services in VANET System

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