A Street-Centric Routing Protocol Based on Microtopology in Vehicular Ad Hoc Networks

Zhang, Xin Ming; Chen, Kai Heng; Cao, Xu Lei; Sung, Dan Keun

doi:10.1109/tvt.2015.2456952

Cited by 58 publications

(33 citation statements)

References 33 publications

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“…In [45], authors proposed a new concept named Micro topology (MT), which is made up of moving vehicles along streets and wireless links between vehicles. Considering the end-to-end routing performance in a MT, authors designed a street-centric routing protocol based on MT, which includes selecting the next MT for routing and designing packets delivery strategy within a MT.…”

Section: B Street-centric Routing Protocolmentioning

confidence: 99%

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

Sun

Zhang

Liu

et al. 2018

IEEE Trans. Veh. Technol.

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This paper focuses on the routing algorithm for the communications between vehicles and places in urban VANET. As one of the basic transportation facilities in an urban setting, buses periodically run along their fixed routes and widely cover city streets. The trajectory of bus lines can be seen as a sub map of a city. Based on the characters of bus networks, we propose a bus trajectorybased street-centric routing algorithm (BTSC), which uses bus as main relay to deliver message. In BTSC, we build a routing graph based on the trajectories of bus lines by analyzing the probability of bus appearing on every street. We propose two novel concepts, i.e. the probability of street consistency (PSC) and the probability of path consistency (PPC) which is used as metrics to determine routing paths for message delivery. This aims to choose the best path with higher density of busses and lower probability of transmission direction deviating from the routing path. In order to improve the bus forwarding opportunity, we design a bus-based forwarding strategy with ant colony optimization (FACO) to find a reliable and steady multi-hop link between two relay buses in order to decrease end-to-end delay. BTSC makes the improvements in the selection of routing path and the strategy of message forwarding. Simulation results show that our proposed routing algorithm has a better performance in transmission ratio, transmission delay and adaptability to different networks.

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Section: B Street-centric Routing Protocolmentioning

confidence: 99%

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

Sun

Zhang

Liu

et al. 2018

IEEE Trans. Veh. Technol.

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“…Therefore, several techniques have been combined with geographic routing in order to choose the connected paths with high probability [3,12,13]. MDDV [3] forwards packets along a precomputed trajectory that was computed from static road information.…”

Section: Geographic Routing With Dtn Supportmentioning

confidence: 99%

“…GyTAR [12] considers dynamic traffic information such as the density of vehicles on each road to select the connecting roads as the forwarding paths at each intersection. SRPMT [13] introduces a concept of micro topology (MT), which is the topology among vehicles on each street, to estimate more precisely the connectivity of the street.…”

Section: Geographic Routing With Dtn Supportmentioning

confidence: 99%

Providing Reliable Communications over Static-node-assisted Vehicular Networks Using Distance-vector Routing

et al. 2018

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To support various practical applications that are expected to work over vehicular networks, it is important to develop a network infrastructure that provides quality communications on which applications can rely. However, since a vehicular network is essentially a delay tolerant network (DTN) in which connected paths to the destinations do not always exist, providing reliable communications on such a network is a challenging research goal. In this paper, we propose a new tabledriven distance-vector routing protocol called RDV (Reliable Distance-Vector routing) for static-node-assisted vehicular networks. RDV provides the guarantee that the expected packet delivery ratio exceeds the preconfigured value by creating the necessary number of packet copies sent on the shortest path. Evaluation results show that RDV provides a stably high packet delivery ratio and outperforms other conventional routing schemes in both packet delivery ratio and overhead of packet copies.

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“…Accordingly, recent research works are analyzed with a detailed remark in advantages and the shortcomings. Here, 4 research papers from the year of 2017, 3 papers from the year of 2016, 2 papers from the year of 2015, 3 papers from the year of 2013, and 1 paper from the year of 2012 are taken for review. According to the existing research works, routing protocol in VANET is classied into 4 groups, namely, geographical‐based routing, traffic aware routing, urban environment‐based network, and stable routing.…”

Section: Review Of Related Workmentioning

confidence: 99%

FGWSO‐TAR: Fractional glowworm swarm optimization for traffic aware routing in urban VANET

Rewadkar¹,

Doye²

2017

Int J Communication

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SummaryIn mobile distributed applications, such as traffic alert dissemination, dynamic route planning, file sharing, and so on, vehicular ad hoc network (VANET) has emerged as a feasible solution in recent years. However, the performance of the VANET depends on the routing protocol in accord with the delay and throughput requirements. Many of the routing protocols have been extensively studied in the literature. Although there are exemptions, they escalate research challenges in traffic aware routing (TAR) protocol of VANET. This paper introduces the fractional glowworm swarm optimization (FGWSO) for the TAR protocol of VANET in an urban scenario that can identify the optimal path for the vehicle with less traffic density and delay time. The proposed FGWSO searches the optimal routing path based on the fitness function formulated in this paper. Fractional glowworm swarm optimization is the combination of the GWSO and fractional theory. Moreover, exponential weighted moving average is utilized to predict the traffic density and the speed of the vehicle, which is utilized as the major constraints in the fitness function of the optimization algorithm to find the optimal traffic aware path. Simulation of FGWSO shows the significant improvement with a minimal end-to-end delay of 6.6395 seconds and distance of 17.3962 m, respectively, in comparison with the other existing routing approaches. The simulation also validates the optimality of the proposed TAR protocol.KEYWORDS fractional theory, glowworm optimization, traffic aware routing protocol, traffic density, VANET | INTRODUCTIONNetworking concept has received increasing attention in the recent years with the advancement in the wireless communication technology. 1 The vehicular network has the advanced applications in the field of car manufacturing. The vehicular network has a wireless technology and has major advantages, such as intelligent transportation, urban monitoring, and internal access. 2 The vehicular network consists of vehicles with short range wireless communication devices 3,4 in a different environment. These substantial advantages made the wireless vehicular networks as an active area of research. Vehicular ad hoc network (VANET) is a new type of vehicular network, and it is a form of mobile ad hoc network.

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A Street-Centric Routing Protocol Based on Microtopology in Vehicular Ad Hoc Networks

Cited by 58 publications

References 33 publications

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

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

Providing Reliable Communications over Static-node-assisted Vehicular Networks Using Distance-vector Routing

FGWSO‐TAR: Fractional glowworm swarm optimization for traffic aware routing in urban VANET

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