Campus Units

Electrical and Computer Engineering

Document Type

Conference Proceeding

Conference

2018 IEEE Global Communications Conference (GLOBECOM)

Publication Version

Accepted Manuscript

Link to Published Version

https://doi.org/10.1109/GLOCOM.2018.8647594

Publication Date

2-21-2019

Journal or Book Title

2018 IEEE Global Communications Conference (GLOBECOM)

DOI

10.1109/GLOCOM.2018.8647594

Conference Title

2018 IEEE Global Communications Conference (GLOBECOM)

Conference Date

December 9-13, 2018

City

Abu Dhabi, United Arab Emirates

Abstract

Data forwarding from a source to a sink node when they are not within the communication range is a challenging problem in wireless networking. With the increasing demand of wireless networks, several applications have emerged where a group of users are disconnected from their targeted destinations. Therefore, we consider in this paper a multi-Unmanned Aerial Vehicles (UAVs) system to convey collected data from isolated fields to the base station. In each field, a group of sensors or Internet of Things devices are distributed and send their data to one UAV. The UAVs collaborate in forwarding the collected data to the base station in order to maximize the minimum battery level for all UAVs by the end of the service time. Hence, a group of UAVs can meet at a waypoint along their path to the base station such that one UAV collects the data from all other UAVs and moves forward to another meeting point or the base station. All other UAVs that relayed their messages return back to their initial locations. All collected data from all fields reach to the base station within a certain maximum time to guarantee a certain quality of service. We formulate the problem as a Mixed Integer Nonlinear Program (MINLP), then we reformulated the problem as Mixed Integer Linear Program (MILP) after we linearize the mathematical model. Simulations results show the advantages of adopting the proposed model in using the UAVs' energy more efficiently.

Comments

This is a manuscript of a proceeding published as Almasoud, Abdullah M., Mohamed Y. Selim, Abdullah Alqasir, Tanzilah Shabnam, Alaeddin Masadeh, and Ahmed E. Kamal. "Energy efficient data forwarding in disconnected networks using cooperative UAVs." In 2018 IEEE Global Communications Conference (GLOBECOM). DOI: 10.1109/GLOCOM.2018.8647594. Posted with permission.

Rights

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright Owner

IEEE

Language

en

File Format

application/pdf

Published Version

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Article Location

 
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