Open AccessA new energy‐aware method for load balance managing in the fog‐based vehicular ad hoc networks (VANET) using a hybrid optimization algorithm
Author(s) -
Qun Ren,
Arefzadeh Seyedeh Maryam
Publication year - 2021
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/cmu2.12179
Subject(s) - computer science , ant colony optimization algorithms , vehicular ad hoc network , load balancing (electrical power) , wireless ad hoc network , cloud computing , mobile ad hoc network , distributed computing , computer network , algorithm , wireless , telecommunications , geometry , mathematics , network packet , grid , operating system
Fog‐based VANETs (Vehicular Ad hoc NETworks) is a new model with vehicular cloud and fog computing benefits. Fog‐based VANETs consist of a series of mobile nodes that are fully dynamic without any central management. These networks have some limitations due to the use of the mobile power source. There are many challenges in extending mobile‐based networks' life span. Many methods have been suggested to minimize the nodes' energy consumption and extend the network life. Also, some works have been developed for load‐balanced routing. Still, energy‐efficient routing and load balancing in VANETs are challenges. The purpose of this study is to present a suitable method based on energy awareness for load balancing in fog‐based VANETs using a hybrid optimization algorithm (employing ant colony optimization and artificial bee colony (ACO‐ABC)). The simulation results in the Network Simulator 2 (NS2) environment showed that as the number of nodes increased, the consumed amount of energy in the VANET is increased. Also, with the increasing number of tasks, load balancing by the proposed method has been improved. Finally, the simulation experiments showed that the proposed hybrid algorithm (ACO‐ABC) outperforms all other algorithms.