Bus-Trajectory-Based Street-Centric Routing for Message Delivery in Urban Vehicular Ad Hoc Networks

Sun, Gang; Zhang, Yijing; Liu, Dan; Yu, Hongfang; Du, Xiaojiang; Guizani, Mohsen

doi:10.1109/tvt.2018.2828651

Cited by 99 publications

(29 citation statements)

References 51 publications

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“…BTSC (Bus Trajectory-based Street-Centric routing algorithm) [20] uses the probability of bus appearance on streets to make routing decisions. The BTSC selects the best path with a higher density of buses and a lower probability of transmission direction deviating from the routing path.…”

Section: B Bus-based Routing Protocolsmentioning

confidence: 99%

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BRT: Bus-Based Routing Technique in Urban Vehicular Networks

Chaib

Oubbati

Bensaad

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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Routing data in Vehicular Ad hoc Networks is still a challenging topic. The unpredictable mobility of nodes renders routing of data packets over optimal paths not always possible. Therefore, there is a need to enhance the routing service. Bus Rapid Transit systems, consisting of buses characterized by a regular mobility pattern, can be a good candidate for building a backbone to tackle the problem of uncontrolled mobility of nodes and to select appropriate routing paths for data delivery. For this purpose, we propose a new routing scheme called Busbased Routing Technique (BRT) which exploits the periodic and predictable movement of buses to learn the required time (the temporal distance) for each data transmission to RoadSide Units (RSUs) through a dedicated bus-based backbone. Indeed, BRT comprises two phases: (i) Learning process which should be carried out, basically, one time to allow buses to build routing tables entries and expect the delay for routing data packets over buses, (ii) Data delivery process which exploits the prelearned temporal distances to route data packets through the bus backbone towards an RSU (backbone mode). BRT uses other types of vehicles to boost the routing of data packets and also provides a maintenance procedure to deal with unexpected situations like a missing nexthop bus, which allows BRT to continue routing data packets. Simulation results show that BRT provides good performance results in terms of delivery ratio and end-to-end delay.

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Section: B Bus-based Routing Protocolsmentioning

confidence: 99%

“…8) generated from OpenStreetMap [32]. The mobility traces are generated by SUMO [33], [34] based on bus routes which are depicted in Fig. 8(b).…”

Section: Performance Evaluationmentioning

confidence: 99%

BRT: Bus-Based Routing Technique in Urban Vehicular Networks

Chaib

Oubbati

Bensaad

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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“…Their approach introduces moving object modeling and indexing techniques from the theory of large moving object databases into the design of VANETs routing protocols. G Sun et al 21 build a routing graph based on the trajectories of bus lines by analyzing the probability of bus appearing on every street. It aims to choose the best path with the higher density of busses and lower probability of transmission direction deviating from the routing path.…”

Section: Routing Research For Vanetsmentioning

confidence: 99%

Social-aware routing for cognitive radio–based vehicular ad hoc networks

Wang

Zhang

Tang

et al. 2019

International Journal of Distributed Sensor Networks

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Cognitive radio–based vehicular ad hoc networks can solve the problem of limited spectrum resource and growing vehicular communication service demands in intelligent transportation systems, and thus, it receives much concern recently. In cognitive radio–based vehicular ad hoc networks, the high mobility of vehicles and the dynamic spectrum activity of cognitive radio make routing in such networks a great challenge. Some routing researches have been proposed in cognitive radio–based vehicular ad hoc networks with single-objective optimization and neglecting the nodes’ social behaviors which can improve the network performance. From this perspective, we propose a social-aware routing scheme for cognitive radio–based vehicular ad hoc networks, with the purpose of increasing the packet delivery ratio and decreasing the overhead ratio. First, we analyze the social centrality of primary users to offer an accuracy spectrum hole measurement. Moreover, we develop a social community partition algorithm to divide secondary users into intra-community and inter-community groups. Furthermore, considering the tradeoff between the packet delivery ratio and the overhead ratio, we adopt different replication policies and forwarding ranks in different community communication processes. In the intra-community communication process, we employ the single-copy policy and the contact duration rank. In the inter-community communication process, we utilize the optimized-binary-tree replication policy and the bridge coefficient rank. Simulation results show that our social-aware routing scheme achieves the higher package delivery ratio and the lower overhead ratio when compared with the existing cognitive radio–based vehicular ad hoc networks routing schemes and other standard routing schemes.

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“…There have been many studies discussing the routing problem in VANETs [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. However, the unicast routing problem and broadcast problem have been discussed separately.…”

Section: Introductionmentioning

confidence: 99%

A Context-Aware Edge-Based VANET Communication Scheme for ITS

Yoshinaga

et al. 2018

Sensors

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We propose a context-aware edge-based packet forwarding scheme for vehicular networks. The proposed scheme employs a fuzzy logic-based edge node selection protocol to find the best edge nodes in a decentralized manner, which can achieve an efficient use of wireless resources by conducting packet forwarding through edges. A reinforcement learning algorithm is used to optimize the last two-hop communications in order to improve the adaptiveness of the communication routes. The proposed scheme selects different edge nodes for different types of communications with different context information such as connection-dependency (connection-dependent or connection-independent), communication type (unicast or broadcast), and packet payload size. We launch extensive simulations to evaluate the proposed scheme by comparing with existing broadcast protocols and unicast protocols for various network conditions and traffic patterns.

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Bus-Trajectory-Based Street-Centric Routing for Message Delivery in Urban Vehicular Ad Hoc Networks

Cited by 99 publications

References 51 publications

BRT: Bus-Based Routing Technique in Urban Vehicular Networks

BRT: Bus-Based Routing Technique in Urban Vehicular Networks

Social-aware routing for cognitive radio–based vehicular ad hoc networks

A Context-Aware Edge-Based VANET Communication Scheme for ITS

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