Analysis and evaluation of distance-to-mean broadcast method for VANET

Slavik, Michael; Mahgoub, Imad; Alwakeel, Mohammed M.

doi:10.1016/j.jksuci.2013.08.004

Cited by 21 publications

(7 citation statements)

References 22 publications

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“…This may lead to uncontrolled end‐to‐end delay values and then degrades the system QoS. On the other hand, the distance‐to‐mean DTM method as proved in Slavik et al is a powerful tool to decrease broadcasting delays through choosing the farthest nodes from the neighboring area which allow this tool to accelerates reaching the network target borders. However, the DTM as originally defined is not adaptable to our model since we resort to a kinetic strategy.…”

Section: Proposed Qos‐aware Broadcasting Schemementioning

confidence: 99%

QoS‐aware broadcasting in VANETs based on fuzzy logic and enhanced kinetic multipoint relay

Mchergui

Moulahi

Othman

et al. 2019

Int J Communication

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Summary Vehicular ad hoc networks (VANETs) are emergent concepts in terms of infrastructure‐less communication. The data dissemination is usually done using broadcast schemes. Data broadcast in VANETs is a challenging issue due to the high mobility vehicles and the varying density. On one hand, these vehicles have to share and disseminate the safety‐critical information, in real time, to other intended vehicles. On the other hand, the existing broadcast solutions do not succeed, till now, to fulfill VANETs requirements especially in terms of performance and QoS. In this paper, we propose a new QoS‐aware broadcast method in order to face VANETs communications challenges. We choose to adapt a concept originally devoted to mobile ad hoc networks (MANETs) and join it to other specific VANET techniques to introduce a new broadcasting protocol in the aim of optimizing QoS fulfilment. The proposed solution is fundamentally based on enhanced kinetic strategy assisted with fuzzy logic for QoS‐aware multipoint relay (MPR). The protocol efficiency is eventually tested through an experimental study and compared with existing methods. The results prove the over‐performance of the proposed solution.

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Section: Proposed Qos‐aware Broadcasting Schemementioning

confidence: 99%

QoS‐aware broadcasting in VANETs based on fuzzy logic and enhanced kinetic multipoint relay

Mchergui

Moulahi

Othman

et al. 2019

Int J Communication

View full text Add to dashboard Cite

show abstract

“…In statistical receiver-oriented broadcast methods, in order to decide whether to rebroadcast, each receiving vehicle measures a local value and compares that to a predefind threshold. Thus far, five fundamental statistical broadcast methods have been introduced: stochastic, counter-based, distance-based, location-based, and distance-to-mean-based [15].…”

Section: Related Workmentioning

confidence: 99%

“…In transmitter-oriented broadcast systems, the transmitting vehicle selects the next relay based on exchanged information of neighbors [7][8][9][10][11][12][13][14]. In reciever-oriented broadcast systems, each receiving vehicle decides how to behave, rebroadcast the received message, or remain silent [15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…Our work is motivated by the observation that the majority of existing schemes use a static transmission range for vehicle to vehicle communication [4,5,[7][8][9][10][11][12][13][14][15][16][19][20][21][22]. The existing schemes that use transmission range adaptive protocols, to the best of our knowledge, consider only the vehicle density to adjust the transmission power and they do not take spatial distribution of vehicles into account [30,31].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Smart Fuzzy Logic-Based Density and Distribution Adaptive Scheme for Efficient Data Dissemination in Vehicular Ad Hoc Networks

Limouchi

Mahgoub

2020

Electronics

Self Cite

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In vehicular Ad Hoc Networks (VANETs), smart data dissemination is crucial for efficient exchange of traffic and road information. Given the dynamic nature of VANET, the challenge is to design an adaptive multi-hop broadcast scheme that achieves high reachability while efficiently utilizing the bandwidth by reducing the number of redundant transmissions. In this paper, we propose a novel intelligent fuzzy logic based density and distribution adaptive broadcast protocol for VANETs. The proposed protocol estimates the spatial distribution of vehicles in the network employing the Nearest Neighbor Distance method, and uses it to adapt the transmission range to enhance reachability. To reduce packet collisions, the protocol intelligently adapts the contention window size to the network density and spatial distribution. Bloom filter technique is used to reduce the overhead resulting from the inclusion of the neighbor IDs in the header of the broadcast message, which is needed in identifying the set of potential rebroadcasting vehicles. Our simulation results confirmed the effectiveness of the proposed scheme in enhancing reachability while efficiently utilizing bandwidth.

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“…Literature [1] proposed four schemes dealing with message broadcasting: counter-based, distance-based, location-based and cluster-based schemes. Literature [7] provided a slight modification on the distance based broadcast using the Distance-to-Mean (DTM) approach to calculate additional coverage by calculating the distance to the mean of the sending nodes. Node density based approach is when the decision for a broadcast depended on the number of neighbors available.…”

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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Analysis and evaluation of distance-to-mean broadcast method for VANET

Cited by 21 publications

References 22 publications

QoS‐aware broadcasting in VANETs based on fuzzy logic and enhanced kinetic multipoint relay

QoS‐aware broadcasting in VANETs based on fuzzy logic and enhanced kinetic multipoint relay

Smart Fuzzy Logic-Based Density and Distribution Adaptive Scheme for Efficient Data Dissemination in Vehicular Ad Hoc Networks

A multiple classifiers broadcast protocol for VANET

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