A Novel Routing Protocol Based on Elliptical Shaped Movement of Autonomous Underwater Vehicles in Data Gathering Process for Underwater Wireless Sensor Network.

ESEDG delay efficient elliptical trajectory energy consumption gateway nodes mobile nodes

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
14 Jul 2022
Historique:
received: 10 06 2022
revised: 10 07 2022
accepted: 11 07 2022
entrez: 27 7 2022
pubmed: 28 7 2022
medline: 28 7 2022
Statut: epublish

Résumé

High end-to-end delay is a significant challenge in the data collection process in the underwater environment. Autonomous Underwater Vehicles (AUVs) are a considerably reliable source of data collection if they have significant trajectory movement. Therefore, in this paper, a new routing algorithm known as Elliptical Shaped Efficient Data Gathering (ESEDG) is introduced for the AUV movement. ESEDG is divided into two phases: first, an elliptical trajectory has been designed for the horizontal movement of the AUV. In the second phase, the AUV gathers data from Gateway Nodes (GNs) which are associated with Member Nodes (MNs). For their association, an end-to-end delay model is also presented in ESEDG. The hierarchy of data collection is as follows: MNs send data to GNs, the AUV receives data from GNs, and forwards it to the sink node. Furthermore, the ESEDG was evaluated on the network simulator NS-3 version 3.35, and the results were compared to existing data collection routing protocols DSG-DGA, AEEDCO, AEEDCO-A, ALP, SEDG, and AEDG. In terms of network throughput, end-to-end delay, lifetime, path loss, and energy consumption, the results showed that ESEDG outperformed the baseline routing protocols.

Identifiants

pubmed: 35890947
pii: s22145269
doi: 10.3390/s22145269
pmc: PMC9322603
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2015 Aug 06;15(8):19331-50
pubmed: 26287189
Sensors (Basel). 2016 Mar 22;16(3):
pubmed: 27011193
Sensors (Basel). 2017 Jun 22;17(7):
pubmed: 28640220
Sensors (Basel). 2017 Jul 11;17(7):
pubmed: 28696377

Auteurs

Ghulam Ali (G)

Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan.

Tariq Ali (T)

Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan.

Insha Ul Hassan (IU)

Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan.

Ahmad Shaf (A)

Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan.

Muhammad Irfan (M)

Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia.

Grzegorz Nowakowski (G)

Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24 Str., 31-155 Cracow, Poland.

Kazimierz Kielkowicz (K)

Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24 Str., 31-155 Cracow, Poland.

Adam Glowacz (A)

Department of Automatic Control and Robotics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Kraków, Poland.

Samar M Alqhtani (SM)

Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran 61441, Saudi Arabia.

Classifications MeSH