RMRPTS: a reliable multi-level routing protocol with tabu search in VANET

Moridi, Elham; Barati, Hamid

doi:10.1007/s11235-016-0219-6

Cited by 53 publications

(34 citation statements)

References 17 publications

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“…In this section, the effectiveness and performance of our proposed LAC-VANET approach is thoroughly evaluated with comprehensive simulations. The results are compared with VMaSc approach proposed in [10][11][12][13][14][15][16][17] respectively. The average throughput, Packet Delivery Ratio (PDR), end to end delay, and packet loss rate are evaluated.…”

Section: A Performance Metricsmentioning

confidence: 99%

Location-Aware Distributed Clustering with Eliminating GPS in Vehicular Ad-hoc Networks

Beheshti¹,

Adabi²,

Rezaee³

2020

Preprint

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Vehicular ad-hoc network (VANET) is a type of mobile network which is used for establishing connection between vehicles (M2M) and also between vehicles and nearby stationary equipment which are often road-side equipment. The main target of VANET is to provide security and convenience for the passengers. In order to achieve this goal, a special electronic device called OBU (On-Board Unit) is embedded in each vehicle which makes the connection between vehicles and between the vehicles and the road-side equipment possible. In this paper, the Location-Aware Clustering in Vehicular Ad-hoc Networks (LAC-VANET) is proposed. We try to achieve the main and major goal in VANET networks, i.e. fast propagation of security and urgent messages in ITS systems, using clustering and selecting the best cluster head based on Fuzzy logic such that the cluster head can transfer important information such as the obstacles and accidents detected on the road with a suitable speed and without creating a large traffic load in the vehicle network in order to notify other vehicles and prevent the danger and vehicle accidents. Moreover, LAC-VANET method is evaluated here via extensive simulations carried out in NS-2. The simulation results indicate that the VANET network performance metrics are improved in terms of average throughput, Packet Delivery Ratio (PDR), end to end delay, and packet loss rate.

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Section: A Performance Metricsmentioning

confidence: 99%

Location-Aware Distributed Clustering with Eliminating GPS in Vehicular Ad-hoc Networks

Beheshti¹,

Adabi²,

Rezaee³

2020

Preprint

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“…Choosing a stable route improves packet delivery rates and packets lost. Moridi and Barati [22] have proposed a multi-level routing protocol which is based on trust in forbidden search in MA-NET. In the first step, in order to improve the Ad hoc Ondemand Distance Vector routing (AODV) routing protocol, fuzzy logic has been used among cluster members.…”

Section: Related Workmentioning

confidence: 99%

“…The distance between the neighboring node and the destination is calculated using Eq. (2)-the Euclidean distance equation [22].…”

Section: Details Of Tihoomentioning

confidence: 99%

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TIHOO: An Enhanced Hybrid Routing Protocol in Vehicular Ad-hoc Networks

Yahiabadi

Barekatain

Raahemifar

2019

J Wireless Com Network

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Recently, vehicular ad hoc network (VANET) is greatly considered by many service providers in urban environments. These networks can not only improve road safety and prevent accidents, but also provide a means of entertainment for passengers. However, according to recent studies, efficient routing has still remained as a big open issue in VANETs. In other words, broadcast storm can considerably degrade the routing performance. To address this problem, this research proposes TIHOO, an enhanced intelligent hybrid routing protocol based on improved fuzzy and cuckoo approaches to find the most stable path between a source and a destination node. In TIHOO, the route discovery phase is limited intelligently using the fuzzy logic system and, by limiting the route request messages, the imposed extra overhead can be efficiently controlled. Moreover, in figure of an intelligent hybrid approach, the improved cuckoo algorithm, which is one of the most effective meta-algorithms especially in the large search space, intelligently selects the most stable and optimal route among known routes by calculating an enhanced fitness function. The simulation results using NS2 tool demonstrate that TIHOO considerably improves network throughput, routing overhead, packet delivery ratio, packet loss ratio, and end-to-end delay compared to similar routing protocols.

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“…Proficient support of routing practices in vehicular surroundings is further meeting up with numerous problems such as MAC, accessible bandwidth evaluation, increased mobility, exposed and hidden nodes crisis, and speedy handover, movement of a node, rapid speed, blockages, and heterogeneous vehicles support [18]- [20].The major difficulty with the routing protocols such as AODV routing, DSR, etc in VANETs surroundings is their instability in routing [21] [22]. The conventional node-centric observation of routes (that is, a recognized route between the destination and source) leads to numerous malfunctioning routes in the existence of high mobility of VANETs [23].…”

Section: Introductionmentioning

confidence: 99%

Hybridization of Monarch Butterfly and Grey Wolf Optimization for Optimal Routing in VANET

Santhosh¹,

Dhandapani²

2019

IJEAT

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The routing process in Vehicular Ad hoc Networks (VANET) remains a more demanding task in city backgrounds. Identifying an optimal end-to-end path that satisfies reduced overhead and delay control is still facing a lot of difficulties and limitations in recent days. These limitations are owing to the increased movement of vehicles, the repeated failures of a path, and the varied obstacles that might have an effect on the consistency of the data routing and transmission. Hence, this paper intends to present an enhanced VANET routing model by considering the network quality metrics including congestion, travel, collision and QoS awareness cost. Accordingly, in the proposed work, a cost model is modeled as the solution for the vehicle routing problem by taking into account the above-mentioned constraints. For determining the optimal route, this research work establishes a new hybrid algorithm known as Grey Updated Butterfly Operator (GU-BO) that links both the concepts of Monarch Butterfly Optimization (MBO) Algorithm and Grey Wolf Optimization (GWO). Finally, the performance of the implemented approach is compared over other conventional approaches with respect to congestion and cost analysis, and proves its superiority of proposed work over others.

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RMRPTS: a reliable multi-level routing protocol with tabu search in VANET

Cited by 53 publications

References 17 publications

Location-Aware Distributed Clustering with Eliminating GPS in Vehicular Ad-hoc Networks

Location-Aware Distributed Clustering with Eliminating GPS in Vehicular Ad-hoc Networks

TIHOO: An Enhanced Hybrid Routing Protocol in Vehicular Ad-hoc Networks

Hybridization of Monarch Butterfly and Grey Wolf Optimization for Optimal Routing in VANET

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