English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Mobile cloud computing relieves the tension between compute-intensive mobileapplications and battery-constrained mobile devices by enabling the offloadingof computing tasks from mobiles to a remote processors. This paper considers amobile cloud computing scenario in which the "cloudlet" processor that providesoffloading opportunities to mobile devices is mounted on unmanned aerialvehicles (UAVs) to enhance coverage. Focusing on a slotted communication systemwith frequency division multiplexing between mobile and UAV, the jointoptimization of the number of input bits transmitted in the uplink by themobile to the UAV, the number of input bits processed by the cloudlet at theUAV, and the number of output bits returned by the cloudlet to the mobile inthe downlink in each slot is carried out by means of dual decomposition undermaximum latency constraints with the aim of minimizing the mobile energyconsumption. Numerical results reveal the critical importance of an optimizedbit allocation in order to enable significant energy savings as compared tolocal mobile execution for stringent latency constraints.

Mobile Cloud Computing with a UAV-Mounted Cloudlet: Optimal Bit Allocation for Communication and Computation