Energy-Efficient Data Dissemination Using a UAV: An Ant Colony Approach

Ahmed A. Al-Habob, Octavia A. Dobre, Sami Muhaidat, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


In this letter, we address the problem of minimizing the energy consumption of disseminating a library of files to a set of Internet-of-Things (IoT) devices using an unmanned aerial vehicle (UAV). A framework is provided, in which a subset of devices are selected to receive data from a UAV and then forward the required data to other devices. Furthermore, optimal energy-efficient path selection is considered in order to realize efficient data dissemination. Specifically, an optimization problem is formulated to minimize the energy expenditure of the IoT devices and UAV while the latter tours to disseminate the required files to the former. An ant colony optimization (ACO) algorithm is developed to solve the optimization problem. Simulation results show that the proposed framework is more energy-efficient compared to a baseline approach, where the UAV hovers above each device to deliver the data. Results also illustrate that the proposed ACO algorithm provides performance close to the optimal solution, which is obtained through exhaustive search.

Original languageEnglish (US)
Article number9174931
Pages (from-to)16-20
Number of pages5
JournalIEEE Wireless Communications Letters
Issue number1
StatePublished - Jan 2021
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


  • Ant colony optimization
  • Internet-of-Things (IoT)
  • data dissemination
  • unmanned aerial vehicle (UAV)


Dive into the research topics of 'Energy-Efficient Data Dissemination Using a UAV: An Ant Colony Approach'. Together they form a unique fingerprint.

Cite this