Characterized by their ease of deployment and bird’s-eye view, unmanned aerial vehicles (UAVs) may be widely deployed both in surveillance and traffic management. However,the moderate computational capability and the short battery life restrict the local data processing at the UAV side. Fortunately,this impediment may be mitigated by employing the mobile-edge computing (MEC) paradigm for offloading demanding computational tasks from the UAV through a wireless transmission link.However, the offloaded information may become compromised by eavesdroppers. To address this issue, we conceive an energy efficient computation offloading technique for UAV-MEC systems,with an emphasis on physical-layer security. We formulate a number of energy-efficiency problems for secure UAV-MEC systems, which are then transformed to convex problems. Finally,their optimal solutions are found for both active and passive eavesdroppers. Furthermore, the conditions of zero, partial and full offloading are analyzed from a physical perspective. The numerical results highlight the specific conditions of activating the above three offloading options and quantify the performance of our proposed offloading strategy in various scenarios.
To View the Base Paper Abstract Contents
Now it is Your Time to Shine.
Great careers Start Here.
We Guide you to Every Step
Success! You're Awesome
Thank you for filling out your information!
We’ve sent you an email with your Final Year Project PPT file download link at the email address you provided. Please enjoy, and let us know if there’s anything else we can help you with.
To know more details Call 900 31 31 555
The WISEN Team