A comprehensive survey on clustering in vehicular networks: Current solutions and future challenges
Vehicular networks are on the verge of deployment, thanks to the advancements in
computation and communication technologies. This breed of ad hoc networks leverages …
computation and communication technologies. This breed of ad hoc networks leverages …
Clustering in vehicular ad hoc network: Algorithms and challenges
Clustering is an important concept in vehicular ad hoc network (VANET) where several
vehicles join to form a group based on common features. Mobility-based clustering …
vehicles join to form a group based on common features. Mobility-based clustering …
StabTrust—A stable and centralized trust-based clustering mechanism for IoT enabled vehicular ad-hoc networks
Vehicular Ad-hoc Network (VANET) is a modern era of dynamic information distribution
among societies. VANET provides an extensive diversity of applications in various domains …
among societies. VANET provides an extensive diversity of applications in various domains …
An Improved Moth-Flame Optimization algorithm with hybrid search phase
In order to solve real-life problems, several metaheuristic optimization algorithms have been
developed. The Moth-Flame Optimization (MFO) algorithm is a search algorithm based on a …
developed. The Moth-Flame Optimization (MFO) algorithm is a search algorithm based on a …
Somaca: A new swarm optimization-based and mobility-aware clustering approach for the internet of vehicles
The Internet of Vehicles (IoV) has evolved from the classic Vehicular Ad-hoc NETworks
(VANETs) as a result of the emergence of the Internet of Things (IoT). IoV is used for …
(VANETs) as a result of the emergence of the Internet of Things (IoT). IoV is used for …
A new preventive routing method based on clustering and location prediction in the mobile internet of things
In the world of the Internet of Things (IoT), wireless sensor networks (WSNs) are an
impressive technology. These networks are extremely resource constrained and require the …
impressive technology. These networks are extremely resource constrained and require the …
Survey on vehicular ad hoc networks clustering algorithms: Overview, taxonomy, challenges, and open research issues
Vehicular ad hoc networks (VANETs) have recently attracted considerable attention owing to
their wide range of applications. However, there are several challenges, such as mobility …
their wide range of applications. However, there are several challenges, such as mobility …
Optimal location and sizing of distributed generators based on renewable energy sources using modified moth flame optimization technique
Due to the great impact of the penetration and locations of distributed generators (DG) on
the performance of the distribution system, this paper proposes a modified moth flame …
the performance of the distribution system, this paper proposes a modified moth flame …
Application of fast adaptive moth-flame optimization in flexible operation modeling for supercritical unit
G Hou, L Gong, B Hu, H Su, T Huang, C Huang, W Fan… - Energy, 2022 - Elsevier
As main measure to stabilize fluctuation of power grid under renewable energy utilization,
the flexible operation of thermal power unit reveals remarkable significant. To serve for peak …
the flexible operation of thermal power unit reveals remarkable significant. To serve for peak …
An efficient energy harvesting and optimal clustering technique for sustainable postdisaster emergency communication systems
The energy consumption and coverage range of unmanned aerial vehicles (UAVs) are
major challenges in UAV-based postdisaster communications. To address these challenges …
major challenges in UAV-based postdisaster communications. To address these challenges …