Fuzzy Logic-Based Broadcast in Vehicular Ad Hoc Networks

Limouchi, Elnaz; Mahgoub, Imad; Alwakeel, Ahmad

doi:10.1109/vtcfall.2016.7881023

Cited by 22 publications

(7 citation statements)

References 18 publications

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“…To evaluate the performance of TRAB, we use seven other adaptive receiver-oriented broadcast protocols: CBF-broadcast [32], DADCQ [16], QRE [17],VDF [18], FLB [20], BEFLAB [21], and IHAB [22].…”

Section: Evaluation and Resultsmentioning

confidence: 99%

“…The Fuzzy Logic-based Broadcast (FLB) protocol, proposed in [20], employs fuzzy logic techniques to check receiving vehicles' qualification to rebroadcast the message. FLB performs well in terms of reachability in various traffic densities.…”

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%

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

Limouchi

Mahgoub

2020

Electronics

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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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Section: Evaluation and Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Limouchi

Mahgoub

2020

Electronics

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“…The use of the classic FLS architecture leads to non-adaptive solutions, while using the other two architectures, reinforcement learning-based real-time adaptive architecture and simple real-time adaptive architecture, result in adaptive solutions. [39], [41], [42], [45], [48], [49], [50], [51], [52], [53], [54], [57], [58], [59]} { [40], [55], [56] { [31], [61], [62]} { [66], [67], [68]} { [30], [74], [75], [76]} { [77], [78], [79], [80], [ Further on, we focus on solution classification based on FL areas of applicability in VN context. FL-based decision making solutions in VNs include: routing protocols, clustering algorithms, handover schemes and data aggregation mechanisms.…”

Section: Fuzzy Logic Solutions In Vehicular Network -Solutionsmentioning

confidence: 99%

Towards Reasoning Vehicles

Tal

Muntean

2017

ACM Comput. Surv.

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Vehicular networks and their associated technologies enable an extremely varied plethora of applications and therefore attract increasing attention from a wide audience. However, vehicular networks also have many challenges that arise mainly due to their dynamic and complex environment. Fuzzy Logic, known for its ability to deal with complexity, imprecision, and model non-deterministic problems, is a very promising technology for use in such a dynamic and complex context. This article presents the first comprehensive survey of research on Fuzzy Logic approaches in the context of vehicular networks, and provides fundamental information which enables readers to design their own Fuzzy Logic systems in this context. As such, this article describes the Fuzzy Logic concepts with emphasis on their implementation in vehicular networks, includes classification and thorough analysis of the Fuzzy Logic-based solutions in vehicular networks, and discusses how Fuzzy Logic could be employed in the context of some of the key research directions in the 5G-enabled vehicular networks.

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Improving the Route Selection for Geographic Routing Using Fuzzy-Logic in VANET

Aljabry

Al–Suhail

2022

Lecture Notes in Networks and Systems

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Fuzzy Logic-Based Broadcast in Vehicular Ad Hoc Networks

Cited by 22 publications

References 18 publications

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

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

Towards Reasoning Vehicles

Improving the Route Selection for Geographic Routing Using Fuzzy-Logic in VANET

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