scholarly journals Energy-Efficient 3D Navigation of a Solar-Powered UAV for Secure Communication in the Presence of Eavesdroppers and No-Fly Zones

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1445 ◽  
Author(s):  
Hailong Huang ◽  
Andrey V. Savkin ◽  
Wei Ni

Unmanned Aerial Vehicles (UAVs) have been regarded as a promising means to reshape future wireless communication systems. In this paper, we consider how to plan the trajectory of a solar-powered UAV under a cloudy condition to secure the communication between the UAV and a target ground node against multiple eavesdroppers. We propose a new 3D UAV trajectory optimization model by taking into account the UAV energy consumption, solar power harvesting, eavesdropping and no-fly zone avoidance. A Rapidly-exploring Random Tree (RRT) method is developed to construct the UAV trajectory. Computer simulations and comparisons with a baseline method demonstrate that the proposed method is able to produce trajectories to ensure the valid wireless communication link with the ground node and prevent eavesdropping.

2007 ◽  
Vol 49 (3) ◽  
Author(s):  
Heiko Hinkelmann ◽  
Peter Zipf ◽  
Manfred Glesner ◽  
Thilo Pionteck

In this paper we will demonstrate that dynamically reconfigurable computing is the key technology to enable small and energy-efficient hardware platforms for wireless communication systems, which provide the flexibility needed for keeping up with evolving standards and protocols. Two application-specific dynamically reconfigurable systems for WLANs and wireless sensor networks will be presented. The first architecture clearly shows that highly dynamic reconfiguration approaches can provide flexible and high-performance hardware platforms that are smaller than standard ASIC solutions. The second architecture serves as a case study for the design of energy-efficient dynamically reconfigurable computing systems.


2012 ◽  
Vol 246-247 ◽  
pp. 640-643
Author(s):  
Yang Liu

In recent years, green computing which refers to maximize energy efficiency during the product's lifetime has attracted more and more concerns. How to use energy effectively in wireless communication systems is also an important issue. In this paper, we propose an energy efficient power control model for wireless communication systems. To control power consumption in wireless communication systems, we design a cross-layer optimization method by a cross layer optimizer which could collect status information from any protocol layer to make optimization decision and send parameter change request to the protocol layers. Experimental results illustrate the effectiveness of the proposed model.


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