Open AccessAnimal Health Monitoring and Intrusion Detection System based on LORAWAN
Author(s) -
S Mohandass
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i2.2050
Subject(s) - global positioning system , computer science , intrusion , internet of things , wildlife , real time computing , tracking system , computer security , wireless sensor network , intrusion detection system , animal health , telecommunications , artificial intelligence , computer network , medicine , ecology , geochemistry , biology , geology , kalman filter , veterinary medicine
In this paper, two important aspects of wildlife monitoring namely Health monitoring and Animal-vehicle collision (AVC) avoidance are addressed. Wildlife health monitoring is an important requirement in forest management. This necessitates monitoring the wellbeing and tracking of animals. In this work, temperature sensor and heart rate sensor are used to monitor the health condition of elephants. The sensors will give an indication, if the elephant’s body temperature and heart rate are not in range. An animal tracking system using Global Positioning System (GPS) is provided for remotely monitoring animal position. Internet of Things (IoT) technology is used to transmit the collected data from the sensors to a remote station where the data is stored in a database. If there is any critical condition identified, the system alerts the concerned officers/veterinary doctors to provide necessary treatment immediately. AVC is another important issue that affects wildlife heavily. In order to counteract AVC, a unified approach of Smart Animal Intrusion Detection System that monitors the movement of animals by integrating a number of sensors with LoRaWAN network, is proposed in this paper. Performance analysis of the proposed system is investigated using CupCarbon Software.