F
Farhan Aadil
Researcher at COMSATS Institute of Information Technology
Publications - 42
Citations - 1199
Farhan Aadil is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Cluster analysis & Wireless ad hoc network. The author has an hindex of 14, co-authored 37 publications receiving 658 citations. Previous affiliations of Farhan Aadil include University of Engineering and Technology.
Papers
More filters
Journal ArticleDOI
Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks
Muhammad Fahad,Farhan Aadil,Zahoor-ur Rehman,Salabat Khan,Peer Azmat Shah,Khan Muhammad,Jaime Lloret,Haoxiang Wang,Jong Weon Lee,Irfan Mehmood +9 more
TL;DR: This article proposes a grey wolf optimization based clustering algorithm for VANETs that replicates the social behaviour and hunting mechanism of grey wolfs for creating efficient clusters, and provides optimal outcomes that lead to a robust routing protocol for clustering of VANets.
Journal ArticleDOI
Energy Aware Cluster-Based Routing in Flying Ad-Hoc Networks.
TL;DR: This paper adjusts the transmission power of the UAVs by anticipating their operational requirements and uses a variant of the K-Means Density clustering algorithm for selection of cluster heads, which outperforms the state of the art artificial intelligence techniques.
Journal ArticleDOI
CACONET: Ant Colony Optimization (ACO) Based Clustering Algorithm for VANET
TL;DR: A Clustering algorithm based on Ant Colony Optimization (ACO) for VANETs (CAConET) is proposed and results indicate that CACONET significantly outperforms MOPSO and CLPSO.
Journal ArticleDOI
A local and global event sentiment based efficient stock exchange forecasting using deep learning
Haider Maqsood,Irfan Mehmood,Irfan Mehmood,Muazzam Maqsood,Muhammad Yasir,Sitara Afzal,Farhan Aadil,Mahmoud M. Selim,Khan Muhammad +8 more
TL;DR: This study considers four countries- US, Hong Kong, Turkey, and Pakistan from developed, emerging and underdeveloped economies’ list and explores the effect of different major events occurred during 2012–2016 on stock markets.
Journal ArticleDOI
Clustering algorithm for internet of vehicles (IoV) based on dragonfly optimizer (CAVDO)
TL;DR: The proposed metaheuristic dragonfly-based clustering algorithm CAVDO is used for cluster-based packet route optimization to make stable topology, and mobility aware dynamic transmission range algorithm (MA-DTR) is used withCAVDO for transmission range adaptation on the basis of traffic density.