Bio-inspired VANET routing optimization: an overview

Azzoug, Youcef; Boukra, Abdelmadjid

doi:10.1007/s10462-020-09868-9

Cited by 41 publications

(13 citation statements)

References 137 publications

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“…The brief discussion and origin of ant colony optimization is described by some nature inspired technique for data dissemination framework for smart city and solved some routing related problem in FANETs [32,33]. Some other hybrid bio-inspired approaches solved the different solutions smartly in smart cities, wireless sensor network, and vehicular ad hoc networks [34][35][36]. As the self-organized nature of all ad hoc networks and their combinations with swarm intelligence function used by the ant-colony, AntHocNet can easily handle mobility in smart cities.…”

Section: Related Workmentioning

confidence: 99%

FANET: Smart city mobility off to a flying start with self‐organized drone‐based networks

et al. 2021

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Due to recent advancements in smart city traffic and transport monitoring industry 4.0 applications. Flying Ad‐Hoc Networks (FANETs) ability to cover geographically large areas, makes it a suitable technology to address the challenges faced during remote areas traffic monitoring. The implementation of drone based FANETs have several advantages in remote traffic monitoring, including free air‐to‐air drone assisted communication zone and smart surveillance and security. The drone‐based FANETs can be deployed within minutes without requiring physical infrastructure, making it suitable for mission critical applications in several areas of interests. Here a drone‐based FANETs application for smart city remote traffic monitoring is presented while addressing several challenges including coverage of larger geographical area and data communication links between FANETs nodes. A FANET‐inspired enhanced ACO algorithm that easily coped with drone assisted technology of FANETs is proposed to cover the large areas. Simulation results are presented to compare the proposed technique against different network lifetime and number of received packets. The presented results show that the proposed technique perform better compared to other state‐of‐the‐art techniques.

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Section: Related Workmentioning

confidence: 99%

FANET: Smart city mobility off to a flying start with self‐organized drone‐based networks

et al. 2021

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“…IWD has two important properties 40,42 : The quantity of soil that it holds. The velocity with which it moves. …”

Section: Classification Of Nature‐inspired Algorithmsmentioning

confidence: 99%

A survey on nature‐inspired algorithms and its applications in the Internet of Vehicles

Sharma

Kaushik

2021

Int J Communication

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The concept of the Internet of Vehicles (IoV) was evolved to cater to the increasing demands of emerging and advanced vehicular applications such as intelligent transportation systems (ITS). IoV plays a vital role in the development of smart cities and smart transportation. As IoV involves real-time data, so efficient routing mechanisms, as well as secure protocols, are very much needed to enhance the efficiency and security of the IoV network. In the existing literature, numerous researchers have focused on enhancing the efficiency of the IoV network. However, there still exist some flaws keeping in view the new security vulnerabilities that keep on emerging. So, there is a need to optimize the capabilities of existing frameworks for dealing with such issues.Nature-inspired algorithms are a category of powerful tools to solve problems of optimization. In this first of its kind state-of-the-art study, the potential of applicability of nature-inspired algorithms in IoV networks for improving the overall performance of IoV is explored. First, various categories of natureinspired algorithms are presented to make the readers well acquainted with the concepts of nature-inspired algorithms. Different nature-inspired algorithms having their applicability in different aspects of IoV are studied with a special focus on security, routing, and parking space management for strengthening the existing IoV network. Various open issues and research challenges in the use of different nature-inspired algorithms in IoV are also presented. Based upon the study conducted, it has been analyzed that natureinspired algorithms can optimize the overall performance of IoV networks.

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“…24 Presently, bio-inspired routing protocols for vehicular networks acquire significant attention because of their capabilities including scalability, ad-hoc nature, adaptability, robustness, and many more. 25 Bio-inspired approaches are preferable in broad vehicular networks because of the resemblance between process of finding packet forwarder vehicle and searching food sources for animals or swarms. These algorithms are less complex to solve computational problems.…”

Section: Introductionmentioning

confidence: 99%

Improved Quality of Service by canine olfactory route finding algorithm for Vehicular Ad Hoc Network

Ghosh

Misra

Chakraborty

2023

Trans Emerging Tel Tech

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QoS aware vehicular ad‐hoc network (VANET) routing protocols address the increasing demand for delay‐sensitive vehicular applications to establish intelligent transportation. Primary challenge with ad‐hoc nature of VANET is that the communication between vehicle‐to‐vehicle and vehicle‐to‐infrastructure is prone to link failure. Bio‐inspired algorithms offer robust solutions to secure VANET links. Accordingly in this article, novel canine olfactory route‐finding algorithm (CORFA) is proposed for VANET to achieve the best possible route with the minimum transmission of packets, which ensures enhanced QoS. The underlying architecture utilizes the exceptional ability of canines to evaluate and memorize the environment and pass the message to neighbors. It makes canines a great choice to model their behavior for VANET routing. RSUs are fundamental components of VANET that supply contents to the proceeding vehicles from their cache. As RSUs carry out information dissemination tasks efficiently, the already traversed and discovered routing paths in the recent past can be cached in RSU's storage and through back‐haul can be circulated to neighboring RSUs. Vehicles request the pre‐cached route and use them for data transmission. Thereby avoiding the route discovery and maintenance procedure reduces the routing overhead. In absence of a pre‐cached route, the fittest vehicle from each hop is selected as next forwarder for packet transmission. The proposed routing algorithm forms multiple routes during route discovery to handle link failure scenario. Traffic simulator, SUMO is used to generate the mobility model and integrated with MATLAB for analysing the performance of CORFA with related geographical and topological routing protocols that confirm the performance superiority of CORFA under several metrics such as packet delivery ratio, network latency, throughput, and overhead.

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Bio-inspired VANET routing optimization: an overview

Cited by 41 publications

References 137 publications

FANET: Smart city mobility off to a flying start with self‐organized drone‐based networks

FANET: Smart city mobility off to a flying start with self‐organized drone‐based networks

A survey on nature‐inspired algorithms and its applications in the Internet of Vehicles

Improved Quality of Service by canine olfactory route finding algorithm for Vehicular Ad Hoc Network

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