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Mobile and Delay Tolerant Network for LoRa at Sea

Published: 11 December 2020 Publication History

Abstract

Near-real-time (nRT) ocean observations are critical for the sustainable management of coastal as well as offshore regions, including implementation of early warning systems, mitigation of pollution, response to extreme events and natural hazards. This can be achieved via the implementation of the so-called Ocean of Things, which consist of distributed networks of low-cost sensors enabling the acquisition of real-time or near-real-time data in support of the sustainable management of aquatic environments. In this project, we propose a LoRa-based system for sensor data collection at sea through mobile LoRa gateways mounted in ships. The sensor nodes will keep looking for mobile gateways, while trying to conserve energy, and will transmit their data as soon as a gateway ship approaches. The system aims at extending the LoRa network from the cities to the shore and finally to the open ocean.

References

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D. Di Luccio, S. Kosta, A. Castiglione, A. Maratea, and R. Montella. [n.d.]. Vessel to shore data movement through the Internet of Floating Things: A microservice platform at the edge. Concurrency and Computation: Practice and Experience ([n. d.]), e5988. https://doi.org/10.1002/cpe.5988
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A. H. Jebril, A. Sali, A. Ismail, M. Rasid, and A. Fadlee. 2018. Overcoming Limitations of LoRa Physical Layer in Image Transmission. Sensors 18, 10 (2018). https://doi.org/10.3390/s18103257
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N. Jovalekic, V. Drndarevic, E. Pietrosemoli, I. Darby, and M. Zennaro. 2018. Experimental Study of LoRa Transmission over Seawater. Sensors 18, 9 (2018). https://doi.org/10.3390/s18092853
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cover image ACM Conferences
CoNEXT'20: Proceedings of the Student Workshop
December 2020
35 pages
ISBN:9781450381833
DOI:10.1145/3426746
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 11 December 2020

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Author Tags

  1. IoT
  2. LoRa
  3. LoRaWAN
  4. delay tolerant network
  5. ocean

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CoNEXT '20
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Overall Acceptance Rate 198 of 789 submissions, 25%

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  • (2024)OSR: Advancing Multi-Hop Routing for LoRaWAN Mesh Networks in Maritime Scenarios2024 20th International Conference on Network and Service Management (CNSM)10.23919/CNSM62983.2024.10814497(1-7)Online publication date: 28-Oct-2024
  • (2024)AlLoRaComputer Communications10.1016/j.comcom.2024.02.014218:C(44-58)Online publication date: 15-Mar-2024
  • (2024)Jamming LoRa and Evaluation of Ease of ImplementationInternet of Everything10.1007/978-3-031-51572-9_3(19-41)Online publication date: 1-Feb-2024
  • (2021)Collaborative Automation and IoT Technologies for Coastal Ocean Observing SystemsFrontiers in Marine Science10.3389/fmars.2021.6473688Online publication date: 20-Aug-2021
  • (2021)Enabling LoRaWAN Communication with Out-of-coverage End Nodes in DTN Scenarios Through an Optimised Duty-cycle2021 14th CMI International Conference - Critical ICT Infrastructures and Platforms (CMI)10.1109/CMI53512.2021.9663774(1-6)Online publication date: 25-Nov-2021

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