Signals from the depths

Properties of percolation strategies with the Argo dataset

Flaviano Di Rienzo, Michele Girolami, Stefano Chessa, Francesco Paparella, Antonio Caruso

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Underwater communications through acoustic modems rise several networking challenges for the Underwater Acoustic Sensor Networks (UASN). In particular, opportunistic routing is a novel but promising technique that can remarkably increase the reliability of the UASN, but its use in this context requires studies on the nature of mobility in UASN. Our goal is to study a real-world mobility dataset obtained from the Argo project. In particular, we observe the mobility of 51 free-drifting floats deployed on the Mediterranean Sea for approximately one year and we analyze some important properties of the underwater network we built. Specifically, we analyze the contact-time, inter-contact time as well density and network degree while varying the connectivity degree of the whole dataset. We then consider three known routing algorithms, namely Epidemic, PROPHET and Direct Delivery, with the goal of measuring their performance in real conditions for USAN. We finally discuss the opportunities arising from the adoption of opportunistic routing in UASN showing that, even in a very sparse and strongly disconnected network, it is still possible to build a limited but working networking framework.

Original languageEnglish (US)
Title of host publication2016 IEEE Symposium on Computers and Communication, ISCC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages372-378
Number of pages7
ISBN (Electronic)9781509006793
DOIs
StatePublished - Aug 15 2016
Event2016 IEEE Symposium on Computers and Communication, ISCC 2016 - Messina, Italy
Duration: Jun 27 2016Jul 1 2016

Publication series

NameProceedings - IEEE Symposium on Computers and Communications
Volume2016-August
ISSN (Print)1530-1346

Conference

Conference2016 IEEE Symposium on Computers and Communication, ISCC 2016
CountryItaly
CityMessina
Period6/27/167/1/16

Fingerprint

Underwater Acoustics
Underwater acoustics
Sensor networks
Sensor Networks
Networking
Routing
Contact
Modems
Routing algorithms
Routing Algorithm
Acoustics
Connectivity
Strategy
Communication

Keywords

  • Opportunistic Routing Protocols
  • Temporal Networks
  • Underwater Sensor Networks

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Mathematics(all)
  • Computer Science Applications
  • Computer Networks and Communications

Cite this

Di Rienzo, F., Girolami, M., Chessa, S., Paparella, F., & Caruso, A. (2016). Signals from the depths: Properties of percolation strategies with the Argo dataset. In 2016 IEEE Symposium on Computers and Communication, ISCC 2016 (pp. 372-378). [7543768] (Proceedings - IEEE Symposium on Computers and Communications; Vol. 2016-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCC.2016.7543768

Signals from the depths : Properties of percolation strategies with the Argo dataset. / Di Rienzo, Flaviano; Girolami, Michele; Chessa, Stefano; Paparella, Francesco; Caruso, Antonio.

2016 IEEE Symposium on Computers and Communication, ISCC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 372-378 7543768 (Proceedings - IEEE Symposium on Computers and Communications; Vol. 2016-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Di Rienzo, F, Girolami, M, Chessa, S, Paparella, F & Caruso, A 2016, Signals from the depths: Properties of percolation strategies with the Argo dataset. in 2016 IEEE Symposium on Computers and Communication, ISCC 2016., 7543768, Proceedings - IEEE Symposium on Computers and Communications, vol. 2016-August, Institute of Electrical and Electronics Engineers Inc., pp. 372-378, 2016 IEEE Symposium on Computers and Communication, ISCC 2016, Messina, Italy, 6/27/16. https://doi.org/10.1109/ISCC.2016.7543768
Di Rienzo F, Girolami M, Chessa S, Paparella F, Caruso A. Signals from the depths: Properties of percolation strategies with the Argo dataset. In 2016 IEEE Symposium on Computers and Communication, ISCC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 372-378. 7543768. (Proceedings - IEEE Symposium on Computers and Communications). https://doi.org/10.1109/ISCC.2016.7543768
Di Rienzo, Flaviano ; Girolami, Michele ; Chessa, Stefano ; Paparella, Francesco ; Caruso, Antonio. / Signals from the depths : Properties of percolation strategies with the Argo dataset. 2016 IEEE Symposium on Computers and Communication, ISCC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 372-378 (Proceedings - IEEE Symposium on Computers and Communications).
@inproceedings{d246ecc579f74f62a8ab3b7c61ef5fb5,
title = "Signals from the depths: Properties of percolation strategies with the Argo dataset",
abstract = "Underwater communications through acoustic modems rise several networking challenges for the Underwater Acoustic Sensor Networks (UASN). In particular, opportunistic routing is a novel but promising technique that can remarkably increase the reliability of the UASN, but its use in this context requires studies on the nature of mobility in UASN. Our goal is to study a real-world mobility dataset obtained from the Argo project. In particular, we observe the mobility of 51 free-drifting floats deployed on the Mediterranean Sea for approximately one year and we analyze some important properties of the underwater network we built. Specifically, we analyze the contact-time, inter-contact time as well density and network degree while varying the connectivity degree of the whole dataset. We then consider three known routing algorithms, namely Epidemic, PROPHET and Direct Delivery, with the goal of measuring their performance in real conditions for USAN. We finally discuss the opportunities arising from the adoption of opportunistic routing in UASN showing that, even in a very sparse and strongly disconnected network, it is still possible to build a limited but working networking framework.",
keywords = "Opportunistic Routing Protocols, Temporal Networks, Underwater Sensor Networks",
author = "{Di Rienzo}, Flaviano and Michele Girolami and Stefano Chessa and Francesco Paparella and Antonio Caruso",
year = "2016",
month = "8",
day = "15",
doi = "10.1109/ISCC.2016.7543768",
language = "English (US)",
series = "Proceedings - IEEE Symposium on Computers and Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "372--378",
booktitle = "2016 IEEE Symposium on Computers and Communication, ISCC 2016",

}

TY - GEN

T1 - Signals from the depths

T2 - Properties of percolation strategies with the Argo dataset

AU - Di Rienzo, Flaviano

AU - Girolami, Michele

AU - Chessa, Stefano

AU - Paparella, Francesco

AU - Caruso, Antonio

PY - 2016/8/15

Y1 - 2016/8/15

N2 - Underwater communications through acoustic modems rise several networking challenges for the Underwater Acoustic Sensor Networks (UASN). In particular, opportunistic routing is a novel but promising technique that can remarkably increase the reliability of the UASN, but its use in this context requires studies on the nature of mobility in UASN. Our goal is to study a real-world mobility dataset obtained from the Argo project. In particular, we observe the mobility of 51 free-drifting floats deployed on the Mediterranean Sea for approximately one year and we analyze some important properties of the underwater network we built. Specifically, we analyze the contact-time, inter-contact time as well density and network degree while varying the connectivity degree of the whole dataset. We then consider three known routing algorithms, namely Epidemic, PROPHET and Direct Delivery, with the goal of measuring their performance in real conditions for USAN. We finally discuss the opportunities arising from the adoption of opportunistic routing in UASN showing that, even in a very sparse and strongly disconnected network, it is still possible to build a limited but working networking framework.

AB - Underwater communications through acoustic modems rise several networking challenges for the Underwater Acoustic Sensor Networks (UASN). In particular, opportunistic routing is a novel but promising technique that can remarkably increase the reliability of the UASN, but its use in this context requires studies on the nature of mobility in UASN. Our goal is to study a real-world mobility dataset obtained from the Argo project. In particular, we observe the mobility of 51 free-drifting floats deployed on the Mediterranean Sea for approximately one year and we analyze some important properties of the underwater network we built. Specifically, we analyze the contact-time, inter-contact time as well density and network degree while varying the connectivity degree of the whole dataset. We then consider three known routing algorithms, namely Epidemic, PROPHET and Direct Delivery, with the goal of measuring their performance in real conditions for USAN. We finally discuss the opportunities arising from the adoption of opportunistic routing in UASN showing that, even in a very sparse and strongly disconnected network, it is still possible to build a limited but working networking framework.

KW - Opportunistic Routing Protocols

KW - Temporal Networks

KW - Underwater Sensor Networks

UR - http://www.scopus.com/inward/record.url?scp=84985945048&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84985945048&partnerID=8YFLogxK

U2 - 10.1109/ISCC.2016.7543768

DO - 10.1109/ISCC.2016.7543768

M3 - Conference contribution

T3 - Proceedings - IEEE Symposium on Computers and Communications

SP - 372

EP - 378

BT - 2016 IEEE Symposium on Computers and Communication, ISCC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -