Design and Evaluation of a Hybrid Intelligent Broadcast Algorithm for Alert Message Dissemination in VANETs

Bae, Ihn-Han

doi:10.1007/978-3-642-24267-0_10

Cited by 4 publications

(3 citation statements)

References 9 publications

(10 reference statements)

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“…Literature [11,12] used the speed and direction to evaluate a node for broadcast privilege. Other research as in [13] employed fuzzy logic to select broadcast nodes based on vehicle's speed and distance between sending and receiving nodes. Literature [14] used three vehicular attributes: senderreceiver distance, speed and movement direction in order for selecting the best candidates from its neighboring nodes that are having prospective future moving trends.…”

Section: The Broadcast-storm Mitigation Schemesmentioning

confidence: 99%

A multiple classifiers broadcast protocol for VANET

Alwakeel

Altwaijry

Prasetijo

2017

2017 4th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)

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Many types of artificial intelligent machines have been used for decision making purposes. In VANET broadcast protocols, vehicles must decide the received messages are to be rebroadcast or not. Several attributes such as sender-to-receiver distance, sender-receiver speed difference, number of neighboring vehicles, as well as vehicle's movement direction are important measures to take the broadcast decision. As the relationships of attributes to the broadcast decision cannot be mathematically defined, the use of a classifier-based artificial intelligence may approximately predict the relationships of all the incorporated attributes to such a decision. As the decision is based on prediction, the use of multiple classifiers in decision making may increase accuracy. Therefore, this research employs a combined-classifiers at an abstract level to provide firmer broadcast decisions on VANET. Our research results justify that the performance of our combined multiple-classifiers outperformed a single-classifier scheme. The multi-classifiers scheme contributes to an average increase of 2.5% in reachability compared to that of the efficient counter-based scheme (ECS). The combined multi-classifiers scheme also improves the saving in rebroadcast tries by 38.9%.

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Section: The Broadcast-storm Mitigation Schemesmentioning

confidence: 99%

A multiple classifiers broadcast protocol for VANET

Alwakeel

Altwaijry

Prasetijo

2017

2017 4th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)

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“…This technique considers not only the distance for calculating the wait time but also considers the number of neighboring vehicle. With the help of this technique the waiting time is calculated as under [13]:-…”

Section: Proposed Algorithmmentioning

confidence: 99%

Eliminating Broadcast Storming in Vehicular Ad-Hoc Networks

Hayat¹,

Diab²

2016

ijacsa

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“…Several routing protocols have been proposed for forwarding information among vehicles [1,4,5,6,7,8,9,10,11,12,13,14,15]. Greedy perimeter stateless routing (GPSR) [1] is a typical greedy forwarding protocol.…”

Section: Related Workmentioning

confidence: 99%