Connected Internet of Things for Monitoring and Tracking of Endangered Whales

Connected Internet of Things (CIoT) integrates Internet of Things (IoT) in different domains (e.g., spatial, aerial, terrestrial, and underwater). CIoT enables monitoring and tracking in remote and large geographic areas, such as the Earth's poles, forests, and oceans. In this article, we envision a CIoT system for the near-real-time monitoring of endangered whale species. In the envisioned system, very high-resolution images from satellites and Internet of CubeSats shall be used for the autonomous detection and location determination of endangered whales. The obtained locations shall be used to determine the trajectory of surface autonomous vessels that will temporarily deploy an Internet of aerial and underwater things for the near-real-time monitoring of detected whales. We discuss the main entities involved in the envisioned architecture, data flows, and communication paradigms needed to implement the proposed CIoT architecture and the challenges to empower the envisioned system. We also point out future research directions to be solved towards a CIoT system for whale monitoring.

Authors

Institutions

Publication Details

Journal
IEEE Internet of Things Magazine
Published
2024-10-28
DOI
https://doi.org/10.1109/iotm.001.2400002
Citations
1
Primary Topic
Marine animal studies overview
Type
article
Field-Weighted Citation Impact
0.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Connected Internet of Things for Monitoring and Tracking of Endangered Whales

Azzedine Boukerche, Rodolfo W. L. Coutinho
1 citations
IEEE Internet of Things Magazine
Marine animal studies overview
0.46
article

Connected Internet of Things for Monitoring and Tracking of Endangered Whales

Azzedine Boukerche, Rodolfo W. L. Coutinho
article en
1 citations

Abstract

Connected Internet of Things (CIoT) integrates Internet of Things (IoT) in different domains (e.g., spatial, aerial, terrestrial, and underwater). CIoT enables monitoring and tracking in remote and large geographic areas, such as the Earth's poles, forests, and oceans. In this article, we envision a CIoT system for the near-real-time monitoring of endangered whale species. In the envisioned system, very high-resolution images from satellites and Internet of CubeSats shall be used for the autonomous detection and location determination of endangered whales. The obtained locations shall be used to determine the trajectory of surface autonomous vessels that will temporarily deploy an Internet of aerial and underwater things for the near-real-time monitoring of detected whales. We discuss the main entities involved in the envisioned architecture, data flows, and communication paradigms needed to implement the proposed CIoT architecture and the challenges to empower the envisioned system. We also point out future research directions to be solved towards a CIoT system for whale monitoring.

IEEE Internet of Things MagazineVol. 7(6)
University of Ottawa (CA), Concordia University (CA)
Life below water
Openalex Percentile: Top 29%
Marine animal studies overview
0.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.