A Survey on AGPA Nature-Inspired Techniques in Vehicular Ad-Hoc Networks

EasyChair Preprint 7296

Abstract

Recent Wireless technology boons smart solutions and offers high networking pliability. Through wireless sensor networks, users can access their information remotely at any time, and anywhere. In Vehicular Ad-hoc Networks (VANETs), the nodes that communicate among themselves to share the information have limited energy and resources. Moreover, as the nodes are highly dynamic in nature i.e. able to leave or join the network arbitrarily, which increases network power complexity and design challenges in this type of network. Consequently, several Vehicular Ad-hoc routing protocols have been evolved to conserve energy, improve network performance, and address the encountered design challenges. The literature presents an ample variety of techniques and models that have been proposed for efficient, power-aware optimization in VANETs. In this paper, we propose a new taxonomy that categorizes the most common VANET routing perspectives published in the literature. The paper presents a comparative exploration of power optimization approaches to better understand the current research directions in VANET power optimization in routing.

Keyphrases: Ant Colony Optimization, Artificial Bee Colony, Genetic Algorithm, Particle Swarm Optimization, Vehicular Ad Hoc Networks

@booklet{EasyChair:7296,
  author    = {Smita Rani Sahu and Biswajit Tripathy},
  title     = {A Survey on AGPA Nature-Inspired Techniques in Vehicular Ad-Hoc Networks},
  howpublished = {EasyChair Preprint 7296},
  year      = {EasyChair, 2022}}