Mohamad, G and Gaber, T 
ORCID: https://orcid.org/0000-0003-4065-4191
2019,
Wireless sensor networks-based solutions for cattle health monitoring : a survey
, in: The International Conference on Advanced Intelligent Systems and Informatics (AISI2019), 26th-28th October 2019, Cairo, Egypt.
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Abstract
Wireless Sensor Networks (WSN) are nowadays becoming an active research in different fields. Precise irrigation, agriculture, earthquake, fire monitoring in forests and animal health monitoring are few applications of WSN. Animal health monitoring systems (AHMS) are usually used to monitor physiological parameters such as rumination, heart rate, and body temperature. Traditional methods to monitor animal health such as (traditional surveillance, single observation, and simple tabular and graphic techniques) are not efficient to achieve high performance in the large herds’ management systems. These methods can only provide partial information and introduce a large cost in staffing and physical hardware. Thus, it is of important need to overcome a foresaid draw-back by using alternative low cost, low power consumption sensor nodes, and providing real-time communications at a sensible hardware cost. The objectives of this paper are: reviewing existing WSN solutions for cattle health monitoring models and determining the requirements needed for building an effective WSN model suitable for cattle health monitoring and detect animal diseases. From this review, requirements of the effective WSN-based solution for cattle health monitoring were suggested.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Schools: | Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre |
| Journal or Publication Title: | The International Conference on Advanced Intelligent Systems and Informatics (AISI2019) |
| Publisher: | Springer |
| Series Name: | Advances in Intelligent Systems and Computing |
| ISBN: | 9783030311285; 9783030311292 |
| ISSN: | 2194-5357 |
| Related URLs: | |
| Depositing User: | Dr. Tarek Gaber |
| Date Deposited: | 30 Sep 2019 10:37 |
| Last Modified: | 16 Feb 2022 02:48 |
| URI: | https://usir.salford.ac.uk/id/eprint/52489 |
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