Tools
Tools
Yaqoob, Shumayla, Ullah, Ata, Awais, Muhammad 
ORCID: https://orcid.org/0000-0001-6421-9245, Katib, Iyad, Albeshri, Aiiad, Mehmood, Rashid, Raza, Mohsin, Islam, Saif ul and Rodrigues, Joel J. P. C.
(2021)
Novel congestion avoidance scheme for Internet of Drones.
Computer Communications, 169.
pp. 202-210.
ISSN 0140-3664
Abstract
Internet of Drones (IoDs) is getting growing interest of researchers due to its applicability in wide range of applications for transportation, weather monitoring, emergency monitoring for flood, earth quake, healthcare and road hazards. To update the data about emergency situation, a real-time data sharing is mandatory. However, regular message transmission by various drones may not only overwhelm a central server but it also causes congestion on the network. It is mandatory to reduce messaging cost and congestion. This paper presents a fog-assisted congestion avoidance approach for Smooth Message Dissemination (SMD). We present a message forwarding algorithm for congestion avoidance to select the appropriate next-hop node using layered model. This model is based on various layers having drones. In first phase, it looks for an appropriate drone in a layer near the fog server for message forwarding. In next step, the drone is identified in nearby layers to forward the emergency message to next-hop to further locate the group head as per priority. It is a drone that has less distance towards fog server and inform in its one-hop circle. It can stop forwarding message after delivering it to fog server. Finally, the fog server disseminates information timely towards upper layers for necessary actions for emergency situations. The performance of the proposed approach is validated through extensive simulations using NS 2.35. Results prove the dominance of SMD over counterparts in terms of messaging overhead, packet delivery ratio, throughput, energy consumption and average delay. Proposed SMD improves PDR by 85% and message overhead cost by 91% as compared to counterparts.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding Information: This work is partially funded by FCT/MCTES, Portugal through national funds and when applicable co-funded EU funds under the Project UIDB/50008/2020; and by Brazilian National Council for Scientific and Technological Development - CNPq, via Grant No.309335/2017-5. This research was funded by the Deanship of Scientific Research (DSR) at the King Abdulaziz University, Jeddah, under grant number RG-10-611-38. |
| Uncontrolled Keywords: | congestion avoidance,emergency messages,fog computing,internet of drones,smooth message dissemination,computer networks and communications,sdg 7 - affordable and clean energy ,/dk/atira/pure/subjectarea/asjc/1700/1705 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 25 Nov 2023 03:18 |
| Last Modified: | 10 Dec 2024 01:42 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/93757 |
| DOI: | 10.1016/j.comcom.2021.01.008 |
Actions (login required)
 |
View Item |