Future FANET with application and enabling techniques: Anatomization and sustainability issues

A Srivastava, J Prakash - Computer science review, 2021 - Elsevier
Rapid expansion and technological advancement of Wireless communication lead by
researchers in different fields of engineering have achieved various milestones. Its efficient …

A comparative survey of VANET clustering techniques

C Cooper, D Franklin, M Ros, F Safaei… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
A vehicular ad hoc network (VANET) is a mobile ad hoc network in which network nodes are
vehicles-most commonly road vehicles. VANETs present a unique range of challenges and …

Routing in flying ad hoc networks: Survey, constraints, and future challenge perspectives

OS Oubbati, M Atiquzzaman, P Lorenz… - IEEE …, 2019 - ieeexplore.ieee.org
Owing to the explosive expansion of wireless communication and networking technologies,
cost-effective unmanned aerial vehicles (UAVs) have recently emerged and soon they will …

Simultaneous feature learning and hash coding with deep neural networks

H Lai, Y Pan, Y Liu, S Yan - … of the IEEE conference on computer …, 2015 - cv-foundation.org
Similarity-preserving hashing is a widely-used method for nearest neighbour search in large-
scale image retrieval tasks. For most existing hashing methods, an image is first encoded as …

Drone networks: Communications, coordination, and sensing

E Yanmaz, S Yahyanejad, B Rinner, H Hellwagner… - Ad Hoc Networks, 2018 - Elsevier
Small drones are being utilized in monitoring, transport, safety and disaster management,
and other domains. Envisioning that drones form autonomous networks incorporated into …

Data communication in VANETs: Protocols, applications and challenges

F Cunha, L Villas, A Boukerche, G Maia, A Viana… - Ad hoc networks, 2016 - Elsevier
VANETs have emerged as an exciting research and application area. Increasingly vehicles
are being equipped with embedded sensors, processing and wireless communication …

Reinforcement learning based routing in networks: Review and classification of approaches

Z Mammeri - Ieee Access, 2019 - ieeexplore.ieee.org
Reinforcement learning (RL), which is a class of machine learning, provides a framework by
which a system can learn from its previous interactions with its environment to efficiently …

Securing the smart grid: A comprehensive compilation of intrusion detection and prevention systems

PI Radoglou-Grammatikis, PG Sarigiannidis - Ieee Access, 2019 - ieeexplore.ieee.org
The smart grid (SG) paradigm is the next technological leap of the conventional electrical
grid, contributing to the protection of the physical environment and providing multiple …

Hybrid satellite-terrestrial communication networks for the maritime Internet of Things: Key technologies, opportunities, and challenges

T Wei, W Feng, Y Chen, CX Wang… - IEEE Internet of things …, 2021 - ieeexplore.ieee.org
With the rapid development of marine activities, there has been an increasing number of
Internet-of-Things (IoT) devices on the ocean. This leads to a growing demand for high …

A hybrid secure routing and monitoring mechanism in IoT-based wireless sensor networks

BD Deebak, F Al-Turjman - Ad Hoc Networks, 2020 - Elsevier
Abstract Internet of Things (IoT) has advanced its pervasiveness across the globe for the
development of smart networks. It is aimed to deploy network edge that enables smart …