Bio-Inspired Routing Algorithms Survey for Vehicular Ad Hoc Networks

Bitam, Salim; Mellouk, Abdelhamid; Zeadally, Sherali

doi:10.1109/comst.2014.2371828

Cited by 134 publications

(61 citation statements)

References 98 publications

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“…In this section, we will review some of the more recent QoS-aware routing protocols in MANETs based on ACO. These protocols seem to be sufficiently adaptive to changing environmental conditions [3]. Deepalakshmi et al [4] introduce the antbased multi-objective QoS routing protocol for MANETs.…”

Section: Related Workmentioning

confidence: 99%

An approach for QoS-aware routing in mobile ad hoc networks

Al-Ani

Seitz

2015

2015 International Symposium on Wireless Communication Systems (ISWCS)

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Quality of service (QoS) routing in mobile ad hoc networks (MANETs) is a big challenge because of dynamically varying network topology and the limited availability of resources. Many techniques for solving the QoS routing problem in MANETs are available. Ant colony optimization is a promising solution that can be applied in wireless ad hoc networks. However, existing routing protocols that require additional control message exchange between neighbors to compute QoS parameters are too slow to react to fast topology change and increase network load and overhead. To decrease the overhead introduced to collect information from neighbor nodes and to obtain an accurate estimate of QoS parameters, we use the Simple Network Management Protocol (SNMP) to obtain these values locally. Artificial ants evaluate these values to find the paths that satisfy application QoS requirements. The simulation results implemented using the ns-3 network simulator show that QoS routing based on ant colony optimization (QoRA) is scalable and performs well.

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Section: Related Workmentioning

confidence: 99%

An approach for QoS-aware routing in mobile ad hoc networks

Al-Ani

Seitz

2015

2015 International Symposium on Wireless Communication Systems (ISWCS)

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“…The main point of this routing is too slender down the search for the next node in particular area of relevance [16]. …”

Section: E Geocast Routingmentioning

confidence: 99%

VANET Routing and Trust Model Evaluation Using Artificial Bee Colony Algorithm

Rakhi

Pahuja

2017

IJARCSSE

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Abstract-Vehicular ad-hoc network contains of very intelligent vehicles on the pathways and give communication service to the dives in the network or can connect with the roadside devices. In the near future it will provide many service and fast delivery of information with minimal delay. It is the modern technology which is mixing the wireless networking to vehicles. The main goal of the VANET system is to provide uninterrupted connectivity to the vehicular users on road, smart vehicle to vehicle interaction without any interruptions is known as intelligent transportation system (ITS). In this paper, we present a review on the VANET, its trust issues, how routing is done in VANET. Different routing and the type of trust models with which routing takes place are discussed. Comparison of parameter such as throughput, bit-error rate and delay are done on the basis of, with optimization and without optimization according to number of rounds. Keywords-Vehicular ad-hoc network (VANET), on-board unit (OBU), application unit (AU), artificial bee colony (ABC)I. INTRODUCTION Vehicular ad-hoc network is an emerging technology from the last few years. It is kind of network which is created by establishing a network of cars or any moving device for a specific situation. It is a reliable network that is used by vehicle to communicate remotely. The main aim of the vehicular ad-hoc network to set up communication channel or network among the vehicles without using the base controller. The major applications of the vehicular ad-hoc network is its use in medical emergency when need of service to human or any individual is required, the communication channel helps in sending the information to right place on right time. With VANET benefits, challenges also emerge such as lack of infrastructure. Every vehicle manages and control the communication of its own and on the network In vehicular network moving vehicles can communicates to each other directly which is known as vehicle to vehicle communication [1].It converts every participating car in the network into vehicular router, allowing the range of connection from 1 km to 3 km. If some vehicle losses its connection it can re-join to another near network and the old place can be filled up by any other approaching vehicle near the network. It is assumed that firstly this type of system was used by police and fire vehicles for communication. Vehicular ad-hoc network may implement different technologies for its working such as dedicated short range communication, cellular, satellite and Wi-Max networks. VANET is considered as the factor of intelligent transportation system [2].In today technology, VANET has done a lot of advancement in the vehicle performance by consuming less battery and jitter. It is basically a fusion network which provides the connectivity to all the vehicles in the network [3]. It is the type of MANET network which also use moving cars to make a network. The whole communication is in particular range. The vehicles try to exchange data and other signals even if t...

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“…Genetic algorithm is used to find the optimal path from source and destination node [12]. A Vehicular Ad-hoc Network (VANET) is considered as a specific kind of Mobile Ad-hoc Network (MANET) which consists of a set of mobile nodes (Vehicles) and fixed nodes known as Road-Side Units (RSUs) [9]. The objective of this design is to reduce tracking error and improve the robustness and performance of cooperative vehicle safety systems under different traffic conditions [1].…”

Section: Related Workmentioning

confidence: 99%

Shared intelligent optimum route selection through traffic management system in VANET– SIRS

Wagh¹,

Gomathi²

2017

IJET

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A Vehicular Ad-hoc Network (VANET) consists of the vehicle to vehicle and vehicle to roadside communication. Growing the density of the vehicles on the road causes flooding while transferring packets from a source to one or multiple destinations over a VANET. However, increasing vehicles on road may causes a problem such as redundancy, congestion, collision and increasing delay though receiving emergency warnings. As long as reliable and proficient multi-hop broadcast in vehicular ad hoc networks is challenging one. In the proposed system commence a new protocol which uses the character of elegant route establishment and selection method for transfer information to the destination (dst) with minimum redundancy, delay and highest bits per second delivery. In some environment vehicles are deployed in a dense manner, and it can move at a high speed. Adjacent Access Points (APs) on the road find out route information from their past report gatherings which use a fuzzy logic to select routing conclusion. This approach consists of isolating the whole network area into clusters. Based on which an optimized route is chosen using the input parameters as vehicle density, distance from the adjacent AP, vehicle mobility, receiving signal strength and delay should be jointly measured in the relay node selection. Though, these computation conflicts with each other depend on vehicle mobility. Hence, we employ fuzzy logic to handle this imprecise information to select forwarding vehicles by mutually taking into account of vehicle distance (d), mobility (v) and Receiving Signal Strength (RSS). The selected vehicle can provide an assure data forwarding with a high competence. The performance of the proposed scheme is evaluated on the metrics such as end-to-end delay, packet delivery ratio by varying vehicle speed, and density of vehicles.

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Bio-Inspired Routing Algorithms Survey for Vehicular Ad Hoc Networks

Cited by 134 publications

References 98 publications

An approach for QoS-aware routing in mobile ad hoc networks

An approach for QoS-aware routing in mobile ad hoc networks

VANET Routing and Trust Model Evaluation Using Artificial Bee Colony Algorithm

Shared intelligent optimum route selection through traffic management system in VANET– SIRS

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