Connecting disjoint nodes through a UAV-based wireless network for bridging communication using IEEE 802.11 protocols

Ullah, Hanif, Abu-Tair, Mamun, McClean, Sally, Nixon, Paddy, Parr, Gerard ORCID: and Luo, Chunbo (2020) Connecting disjoint nodes through a UAV-based wireless network for bridging communication using IEEE 802.11 protocols. EURASIP Journal on Wireless Communications and Networking, 2020 (1). ISSN 1687-1472

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Cooperative aerial wireless networks composed of small unmanned aerial vehicles(UAVs) are easy and fast to deploy and provide on the fly communication facilities in situations where part of the communication infrastructure is destroyed and the survivors need to be rescued on emergency basis. In this article, we worked on such a cooperative aerial UAV-based wireless network to connect the two participating stations. The proposed method provides on the fly communication facilities to connect the two ground stations through a wireless access point (AP) mounted on a UAV using the IEEE 802.11a/b/g/n. We conducted our experiments both indoor and outdoor to investigate the performance of IEEE 802.11 protocol stack including a/b/g/n. We envisioned two different cases: line of sight (LoS) and non-line of sight (NLoS). In LoS, we consider three different scenarios with respect to UAV altitude and performed the experiments at different altitudes to measure the performance and applicability of the proposed system in catastrophic situations and healthcare applications. Similarly, for NLoS, we performed a single set of experiments in an indoor environment. Based on our observations from the experiments, 802.11n at 2.4 GHz outperforms the other IEEE protocols in terms of data rate followed by 802.11n at 5 GHz band. We also concluded that 802.11n is the more suitable protocol that can be practiced in disastrous situations such as rescue operations and healthcare applications.

Item Type: Article
Uncontrolled Keywords: 2.4 and 5 ghz band,bridging communication,cooperative aerial wireless networks,disaster management,ground stations,ieee 802.11 standards,uav-based wireless network,signal processing,computer science applications,computer networks and communications ,/dk/atira/pure/subjectarea/asjc/1700/1711
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Smart Emerging Technologies
Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 14 Jul 2020 23:50
Last Modified: 14 Mar 2023 08:33
DOI: 10.1186/s13638-020-01727-z


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