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Ahmad Sawalmeh

Researcher at Northern Borders University

Publications -  23
Citations -  1191

Ahmad Sawalmeh is an academic researcher from Northern Borders University. The author has contributed to research in topics: Computer science & Path loss. The author has an hindex of 7, co-authored 14 publications receiving 778 citations. Previous affiliations of Ahmad Sawalmeh include Universiti Tenaga Nasional.

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Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges

TL;DR: The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil application domains, including real-time monitoring, providing wireless coverage, remote sensing, search and rescue, delivery of goods, security and surveillance, precision agriculture, and civil infrastructure inspection.
Proceedings ArticleDOI

Efficient 3D placement of a UAV using particle swarm optimization

TL;DR: In this paper, a particle swarm optimization algorithm is proposed to find an efficient 3D placement of a UAV that minimizes the total transmit power required to cover the indoor users.
Proceedings ArticleDOI

Efficient 3D Placement of a UAV Using Particle Swarm Optimization

TL;DR: This paper proposes using a single UAV to provide wireless coverage for indoor users inside a high-rise building under disaster situations (such as earthquakes or floods), when cellular networks are down and proposes a particle swarm optimization algorithm to find an efficient 3D placement of a UAV that minimizes the total transmit power required to cover the indoor users.
Proceedings ArticleDOI

Maximizing indoor wireless coverage using UAVs equipped with directional antennas

TL;DR: The results show that the upside-down arrangements of UAVs, can improve the maximum total coverage by 100% compared to providing wireless coverage from one building side when the Uavs use one channel.
Journal ArticleDOI

Wireless Coverage for Mobile Users in Dynamic Environments Using UAV

TL;DR: The dynamic deployment of a single UAV as an aerial base station in providing wireless coverage for mobile outdoor and indoor users is studied and the efficient UAV trajectory is developed using two approaches, namely, heuristic and optimal approaches.