IRPanet: Intelligent Routing Protocol in VANET for Dynamic Route Optimization

Ullah, Rafi; Shah, Meena; Jilani, Taha; Azam, Waqas; Zain, Muhammad

doi:10.14569/ijacsa.2019.0100657

Cited by 3 publications

(3 citation statements)

References 12 publications

(12 reference statements)

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“…Euclidean formula is used to find the inter‐vehicular distance. In Ullah et al, 32 intelligent routing protocol forwards packets using the optimal path. This protocol relies on vehicle heuristics information such as geographical position, speed, direction, communication range, buffer, and distances between two vehicles (Euclidean distance) to determine the optimal path.…”

Section: Related Workmentioning

confidence: 99%

An enhanced distance and residual energy‐based congestion aware ant colony optimization routing for vehicular ad hoc networks

Ramamoorthy

Thangavelu²

2022

Int J Communication

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Summary Due to the ad hoc nature of vehicular ad hoc networks (VANETs), routing in VANETs is challenging. Using an energy‐efficient shortest path without congestion (EESPWC) increases routing efficiency by satisfying specific parameters (high throughput, high packet delivery ratio, low overhead, low end‐to‐end delay, low packet loss ratio, and low energy consumption). In this work, enhanced distance and residual energy‐based congestion aware ant colony optimization (EDR‐CAACO) for VANETs is proposed to find an EESPWC. The proposed EESPWC produces high throughput and high packet delivery ratio with low overhead and low delay. In EDR‐CAACO, the roulette wheel selects the EESPWC based on the link's fitness values. The fitness value is computed based on the pheromone level of the link. The enhanced ACO (ant colony optimization) of the proposed model relies on the distance, residual, and congestion levels of the vehicles to estimate pheromone levels. For path selection, the roulette wheel relies on links that have the highest fitness value. The combination of high fitness value links provides an energy‐efficient non‐congested shortest route. The simulation results prove that the overall performance of EDR‐CAACO is better than Improved Distance Based Ant Colony Optimization Routing (IDBACOR), Fuzzy‐based Ant colony optimization (F‐ANT), ant colony optimization routing algorithm (ARA), and AntNet in terms of throughput, routing overhead, packet delivery ratio, end to end delay, and packet loss rate.

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Section: Related Workmentioning

confidence: 99%

An enhanced distance and residual energy‐based congestion aware ant colony optimization routing for vehicular ad hoc networks

Ramamoorthy

Thangavelu²

2022

Int J Communication

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“…Authors of paper [19] propose a novel routing protocol called Intelligent Routing Protocol (IRPANET) for VANETs. This protocol uses probabilistic, machinelearning, and heuristic-based approaches with a store-andforward mechanism to predict the best path for forwarding packets using openstreet map (OSM).…”

Section: Literature Reviewmentioning

confidence: 99%

Priority-based Routing Framework for VANETs

Felemban¹,

Naseer²,

Amjad³

2018

EAI Endorsed Transactions on Energy Web

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Vehicular ad hoc Network (VANET) is a collection of vehicles and associated roadside infrastructure which provide mobile wireless communication services. One of the significant use-cases is to transmit the images using VANET during emergencies like road accidents, traffic congestion, fire, or traffic hazards. Priority-based routing allows the network to route critical data on priority. This paper proposes a Priority-based Routing Framework for Image Transmission (PRoFIT) for VANETs. PRoFIT for VANETs delivers critical image features at high priority to the sink node for early processing. Simulations were carried out that use PRoFIT for VANETs during the mobility of vehicles in emergency scenarios. The detailed experiments show the impact of priority-based routing during the mobility of vehicles. Both grid topology and vehicular topology were simulated. Packet end-to-end delay and delivery ratios were analyzed. A comparison of results of critical image information delivery with PRoFIT and without PRoFIT shows the impact of using PRoFIT for VANETs.

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“…The results showed that DSR outperforms AODV in network throughput. A routing protocol framework for VANET that uses inference methods such as speed, direction and vehicle location is presented in [14] [15] [16] [17]. Goswami et al, [18] presented an analytical comparison based on different QoS parameters between Destination Sequenced Distance Vector (DSDV), Dynamic Source Routing (DSR) and AODV protocols.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Route lifetime in Vehicular Ad Hoc ‎Networks Based on Skellam Distribution Model

Tawfeeq

2021

Int. j. commun. netw. inf. secur.

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The emergence of smart cities and the need to use intelligent transportation systems has led to an increased reliance on vehicle ad hoc networks (VANET). The topology of VANET is highly dynamic, which results in a short effective routing time. This paper presents a two-stage algorithm to select a route that can sustain communication between vehicles for as long as possible while taking into account the variables that affect the VANET topology. The first stage uses Skellam distribution model to assess the connectivity probability of paths in ‎a 2d road network based on traffic-flow and the number of vehicles ‎joining and leaving the ‎network, accordingly, the path with the highest connectivity is chosen. In the second stage, the control packets sent only to vehicles on the selected path to detect routes between source and destination, thus reducing the overhead of control packets and increasing network stability. ‎ the algorithm adopts the principle of global evaluation to ‎estimate the lifetime ‎of the ‎detected ‎routes within the chosen path. ‎the route with the ‎best estimated ‎lifetime ‎is ‎chosen to be ‎the active route. ‎in the event of route failure, the validity of the next route in lifetime is confirmed to be adopted as the alternate route. The proposed algorithm was compared with both on-‎demand distance ‎vector routing protocol (AODV) protocol and the modified location-aided routing ‎‎(LAR) ‎protocol. The proposed algorithm showed greater network stability, higher performance in terms of longer lifetime route detection, less energy consumption and higher throughput.

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IRPanet: Intelligent Routing Protocol in VANET for Dynamic Route Optimization

Cited by 3 publications

References 12 publications

An enhanced distance and residual energy‐based congestion aware ant colony optimization routing for vehicular ad hoc networks

An enhanced distance and residual energy‐based congestion aware ant colony optimization routing for vehicular ad hoc networks

Priority-based Routing Framework for VANETs

Enhancing Route lifetime in Vehicular Ad Hoc ‎Networks Based on Skellam Distribution Model

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