A fuzzy geographical routing approach to support real-time multimedia transmission for vehicular ad hoc networks

Zaimi, Imane; Boushaba, Abdelali; Houssaini, Zineb Squalli; Oumsis, Mohammed

doi:10.1007/s11276-018-1729-9

Cited by 15 publications

(5 citation statements)

References 47 publications

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“…Table 1 provides a comparison of recent solutions for vehicular network routing. Zaimi et al 13 proposed a fuzzy geo‐routing, selecting the next step with the parameters delay, throughput, buffer size, and distance. This algorithm has increased network performance but needs to improve transmission delay.…”

Section: Related Workmentioning

confidence: 99%

Reliable and infrastructure‐independent routing for the internet of vehicles

Taj

Bakhshi

Zandhessami

2023

Int J Communication

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The Internet of Vehicles (IoV) is a new framework for intelligent transportation systems. One of its goals is to improve safety and increase the quality of service for passengers. Topology changes in IoV present significant challenges to the function of safety applications. Most routing algorithms offer their solution, independent of infrastructure or based exclusively on infrastructure. Although the lack of access to roadside units disrupts infrastructure-based algorithms, methods that do not use infrastructure will also not enjoy the benefits of high-speed data transmission. This research proposes the reliable and infrastructure-independent routing (RIIR) routing algorithm to increase the reliability of real-time routing in the IoV. The RIIR, in addition to simultaneous covering capability to use intelligent infrastructure for accelerating data transmission and flexibility in conditions of lack of access to infrastructure, by introducing three new criteria entitled "history of vehicle movement," "conformity of vehicle speed with the harmonic speed average of nearby vehicles," and "number of reliable neighbors," scores vehicles and then selects the most suitable vehicles as route members. The RIIR measures the conformity of the previous presence of vehicles on the current route and the stability of their link with adjacent vehicles. Furthermore, it prevents congestion by halting the spread of route request messages at intersections not leading to the destination. The efficiency of the RIIR has been theoretically proven, and extensive simulations with multiple scenarios in SUMO and NS3 show the superiority of the RIIR in increasing the packet delivery rate and reducing route failure, average delay, and control overhead.

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Section: Related Workmentioning

confidence: 99%

Reliable and infrastructure‐independent routing for the internet of vehicles

Taj

Bakhshi

Zandhessami

2023

Int J Communication

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“…Working against these networks like sensor networks results in higher costs due to procuring and the messages need bandwidth and higher energy [9]. In [10] the main tenacity of this research article is to support real-time traffic. The new approach is generated called fuzzy geographical routing which is based on the Greedy Perimeter Stateless Routing (GPSR).…”

Section: Background and Related Studymentioning

confidence: 99%

Analysis of Greedy Strategies in Geographic Routing of VANETs

Israr,

Shafiq,

Muqeem

2023

JAET

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The study and creation of networks that are independent of any pre-existing infrastructure has become highly popular in recent years. These networks fall under the category of Vehicular Ad-hoc Networks (VANETs), in which each car takes part in routing by sending data to other vehicles. However, geographic routing attracts VANETs networks because they lack route discovery and routing databases and the accessibility of low-cost GPS systems as well as the advent of the 128-bit address structure of IPv6 have enhanced the advantages of geographical routing over classical routing techniques. Additionally, the proposed algorithms based on greedy routing are the main method for the next hop selection in multi-hop communication for optimal and optimized solution in geographic routing. In this article, the study takes place with a number of hops per route and greedy algorithm selection success ratio in VANETs with source-to-destination pairs. A comparative study is taken out in which LLP affects node density, hop count, and transmission range. Monte Carlo simulations have been done with two important network parameters which are transmission range and node density. This study will be a guideline for the choice of greedy decisions to meet the objectives of network applications.

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“…An enhanced variant of GPSR, called fuzzy geographical routing (FzGR), was proposed in [9]. This variant adopts the concept of fuzzification [10] and employs a set of resources to send packets over the link with the best quality, rather than a distance-based link.…”

Section: Background and Motivationmentioning

confidence: 99%

“…In addition, each link is affected by a weight that represents an integer value indicating its QoS capability. In our diagram, we calculate the pi weight of Li by the fuzzy approach presented in [9].…”

Section: Load Balancing Approachmentioning

confidence: 99%

Novel Optimized Strategy Based on Multi-Next-Hops Election to Reduce Video Transmission Delay for GPSR Protocol over VANETs

Zaimi,

Boushaba,

Oumsis

et al. 2023

Computers

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Reducing transmission traffic delay is one of the most important issues that need to be considered for routing protocols, especially in the case of multimedia applications over vehicular ad hoc networks (VANET). To this end, we propose an extension of the FzGR (fuzzy geographical routing protocol), named MNH-FGR (multi-next-hops fuzzy geographical routing protocol). MNH-FGR is a multipath protocol that gains great extensibility by employing different link metrics and weight functions. To schedule multimedia traffic among multiple heterogeneous links, MNH-FGR integrates the weighted round-robin (WRR) scheduling algorithm, where the link weights, needed for scheduling, are computed using the multi-constrained QoS metric provided by the FzGR. The main goal is to ensure the stability of the network and the continuity of data flow during transmission. Simulation experiments with NS-2 are presented in order to validate our proposal. Additionally, we present a neural network algorithm to analyze and optimize the performance of routing protocols. The results show that MNH-FGR could satisfy critical multimedia applications with high on-time constraints. Also, the DNN model used can provide insights about which features had an impact on protocol performance.

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A fuzzy geographical routing approach to support real-time multimedia transmission for vehicular ad hoc networks

Cited by 15 publications

References 47 publications

Reliable and infrastructure‐independent routing for the internet of vehicles

Reliable and infrastructure‐independent routing for the internet of vehicles

Analysis of Greedy Strategies in Geographic Routing of VANETs

Novel Optimized Strategy Based on Multi-Next-Hops Election to Reduce Video Transmission Delay for GPSR Protocol over VANETs

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