Patrick, B, Johnson, T ORCID: https://orcid.org/0000-0002-1702-0943 and Kanjo, E ORCID: https://orcid.org/0000-0002-1720-0661, 2024. Internetless low-cost sensing system for real-time livestock monitoring. IEEE Sensors Letters, 8 (6): 7500504. ISSN 2475-1472
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Abstract
Smart farming is a progressive domain marked by extensive research and solutions. The predominant approach involves the use of low-power wide area networks (LPWANs) for communication, with subsequent data transfer to a cloud server once Internet connectivity is established. In this letter, we present the design and development of a novel smart farming sensor system that combines heterogeneous short-mid range communication technologies with low-cost edge devices, sensors, and a multihopping algorithm to transmit real-time animal alert data without Internet connectivity or a cloud server. The system consists of smart collar devices for livestock, fixed gateway(s) for storage, and a mobile unit to exchange data with a farmer's mobile phone. Our testing in a controlled real-world environment demonstrated the viability of such a network with over 90% real-time alerts that trigger a notification on a mobile phone in several unique test cases.
Item Type: | Journal article |
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Publication Title: | IEEE Sensors Letters |
Creators: | Patrick, B., Johnson, T. and Kanjo, E. |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Date: | June 2024 |
Volume: | 8 |
Number: | 6 |
ISSN: | 2475-1472 |
Identifiers: | Number Type 10.1109/lsens.2024.3399884 DOI 1895037 Other |
Rights: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Divisions: | Schools > School of Science and Technology |
Record created by: | Melissa Cornwell |
Date Added: | 24 May 2024 08:14 |
Last Modified: | 24 May 2024 08:14 |
URI: | https://irep.ntu.ac.uk/id/eprint/51469 |
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