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

In this paper, we focus on energy-efficient UAV-based IoT data collection insensor networks in which the sensed data have different time deadlines. In theinvestigated setting, the sensors are clustered and managed by cluster heads(CHs), and multiple UAVs are used to collect data from the CHs. The formulatedproblem is solved through a two-step approach. In the first step, an efficientmethod is proposed to determine the minimal number of CHs and their bestlocations. Subsequently, the minimal number of UAVs and their trajectories areobtained by solving the associated capacitated vehicle routing problem. Resultsshow the efficiency of our proposed CHs placement method compared to baselineapproaches, where bringing the CHs closer to the dockstation allows significantenergy savings. Moreover, among different UAV trajectory planning algorithms,Tabu search achieves the best energy consumption. Finally, the impact of thebattery capacity and time deadline are investigated in terms of consumedenergy, number of visited CHs, and number of deployed UAVs.

Energy-Efficient Multi-UAV Data Collection for IoT Networks with Time Deadlines