Muhammad Asghar Khan^1,*, Fazal Noor², Insaf Ullah³, Sajjad ur Rehman⁴, Shibli Nisar⁵, Mohaira Ahmad⁵

Computer Systems Science and Engineering, Vol.38, No.1, pp. 47-63, 2021, DOI:10.32604/csse.2021.016430

Abstract The Flying Ad-hoc Networks (FANETs) is characterized by the transition from a single large Unmanned Aerial Vehicle (UAV) to multiple small UAVs connected in an ad-hoc fashion. Since high mobility is the core feature of such networks, they are prone to route breaks within the links. The issue of connectivity loss can be coped with, to some extent, by making use of omnidirectional antennas. Such modification, however, curtails Quality-of-Service (QoS) requirements of networks in terms of bandwidth, media access delay, coverage and others. Alternately, directional antennas have advantages over omnidirectional antennas such as improved transmission range, spatial reuse and high… More >

Masood Ahmad¹, Abdul Hameed², Fasee Ullah^3,*, Ishtiaq Wahid¹, Atif Khan⁴, M. Irfan Uddin⁵, Shafiq Ahmad⁶, Ahmed M. El-Sherbeeny⁶

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1353-1368, 2021, DOI:10.32604/cmc.2021.014237

Abstract Clustering algorithms optimization can minimize topology maintenance overhead in large scale vehicular Ad hoc networks (VANETs) for smart transportation that results from dynamic topology, limited resources and non-centralized architecture. The performance of a clustering algorithm varies with the underlying mobility model to address the topology maintenance overhead issue in VANETs for smart transportation. To design a robust clustering algorithm, careful attention must be paid to components like mobility models and performance objectives. A clustering algorithm may not perform well with every mobility pattern. Therefore, we propose a supervisory protocol (SP) that observes the mobility pattern of vehicles and identifies the… More >