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A Survey on Heuristic-Based Routing Methods in Vehicular Ad-Hoc Network: Technical Challenges and Future Trends

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TLDR
This paper surveys and discusses different metaheuristics applied to solve the routing problem within VANET, and technical challenges and future trends are treated and presented.
Abstract
Vehicular $ad~ hoc$ network (VANET) is a set of vehicles trying to exchange security and comfort data even if they are not directly within radio range of each other. As VANET presented several challenges, the various contributions defined are not efficient to provide reliable services. Consequently, several researches and projects have been launched to develop an intelligent transportation system that guarantees both safety and comfort for users. Although the use of metaheuristics seems to be the most convenient to overcome these issues, actually, to the best of our knowledge, there are no studies addressing the uses of those approaches in VANET. This paper surveys and discusses different metaheuristics applied to solve the routing problem within VANET. Furthermore, technical challenges and future trends are treated and presented.

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A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges

TL;DR: This paper provides a comprehensive survey on the literature involving machine learning algorithms applied to SDN, from the perspective of traffic classification, routing optimization, quality of service/quality of experience prediction, resource management and security.
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Routing Protocols for Unmanned Aerial Vehicle-Aided Vehicular Ad Hoc Networks: A Survey

TL;DR: This survey paper presents a comprehensive review on state-of-the-art routing protocols for UAV-aided VANETs and categorizes them into seven groups in terms of their working mechanism and design principles.
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Probability Prediction-Based Reliable and Efficient Opportunistic Routing Algorithm for VANETs

TL;DR: The probability prediction-based reliable and efficient opportunistic routing (PRO) algorithm for VANETs can achieve better routing performance than the SRPE, ExOR (street-centric), and greedy perimeter stateless routing algorithms.
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Computational Intelligence Inspired Data Delivery for Vehicle-to-Roadside Communications

TL;DR: A vehicle-to-roadside communication protocol based on distributed clustering where a coalitional game approach is used to stimulate the vehicles to join a cluster, and a fuzzy logic algorithm is employed to generate stable clusters by considering multiple metrics of vehicle velocity, moving pattern, and signal qualities between vehicles.
Journal ArticleDOI

Cluster-Based Content Distribution Integrating LTE and IEEE 802.11p with Fuzzy Logic and Q-Learning

TL;DR: This paper discusses integrating LTE (Long Term Evolution) with IEEE 802.11p for the content distribution in VANETs and proposes a two-level clustering approach where cluster head nodes in the first level try to reduce the MAC layer contentions for vehicle-tovehicle (V2V) communications, and cluster headNode are responsible for providing a gateway functionality between V2V and LTE.
References
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Book

Ant Colony Optimization

TL;DR: Ant colony optimization (ACO) is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals as discussed by the authors In particular, ants have inspired a number of methods and techniques among which the most studied and the most successful is the general purpose optimization technique known as ant colony optimization.
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TL;DR: The introduction of ant colony optimization (ACO) is discussed and all ACO algorithms share the same idea and the ACO is formalized into a meta-heuristics for combinatorial problems.
Journal ArticleDOI

Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems

TL;DR: This paper presents a detailed overview of the basic concepts of PSO and its variants, and provides a comprehensive survey on the power system applications that have benefited from the powerful nature ofPSO as an optimization technique.
Proceedings ArticleDOI

Population structure and particle swarm performance

TL;DR: The effects of various population topologies on the particle swarm algorithm were systematically investigated and it was discovered that previous assumptions may not have been correct.
Journal ArticleDOI

Mobile ad hoc networking: imperatives and challenges

TL;DR: The important role that mobile ad hoc networks play in the evolution of future wireless technologies is explained and the latest research activities in these areas are reviewed, including a summary of MANETs characteristics, capabilities, applications, and design constraints.
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