It's an algorithm known as Clustering algorithm for internet of vehicles (IoV) based on dragonfly optimizer. It used for cluster-based packet route optimization to make stable topology, and mobility aware optimization for reduced network overhead.
Published in Chapter:
Algorithms Optimization for Intelligent IoV Applications
Elmustafa Sayed Ali Ahmed (Sudan University of Science and Technology, Sudan & Red Sea University, Sudan), Zahraa Tagelsir Mohammed (Red Sea University, Sudan), Mona Bakri Hassan (Sudan University of Science and Technology, Sudan), and Rashid A. Saeed (Sudan University of Science and Technology, Sudan & Taif University, Saudi Arabia)
Copyright: © 2021
|Pages: 25
DOI: 10.4018/978-1-7998-6870-5.ch001
Abstract
Internet of vehicles (IoV) has recently become an emerging promising field of research due to the increasing number of vehicles each day. It is a part of the internet of things (IoT) which deals with vehicle communications. As vehicular nodes are considered always in motion, they cause frequent changes in the network topology. These changes cause issues in IoV such as scalability, dynamic topology changes, and shortest path for routing. In this chapter, the authors will discuss different optimization algorithms (i.e., clustering algorithms, ant colony optimization, best interface selection [BIS] algorithm, mobility adaptive density connected clustering algorithm, meta-heuristics algorithms, and quality of service [QoS]-based optimization). These algorithms provide an important intelligent role to optimize the operation of IoV networks and promise to develop new intelligent IoV applications.