Real-Time Animal Location Estimation Using Wearable Sensors and Cellular Mobile Networks
Автор: M.W.P. Maduranga, J.P.D.M. Sithara
Журнал: International Journal of Wireless and Microwave Technologies @ijwmt
Статья в выпуске: 3 Vol.12, 2022 года.
Бесплатный доступ
In this article, we propose a novel concept of using an existing cellular network to find the location of animals living in outdoor environments. The proposed method has simplified hardware architecture which can be implemented at a meager cost. Moreover, the sensors communicate with existing cellular networks, which will reduce the implementation cost. The proposed system consists of a SIM 900 GSM module, a BMP280 pleasure sensor, and a battery as a wearable device that can warn the animal. The wearable device will send the real-time pressure values of the animal. In the proposed model, the pressure value, radial distance of transmitter fixed at the animal, and direction of the electromagnetic waves are used to calculate the real-time coordinates of the animals. The received pressure value and the radial distance will be used to calculate the location using this proposed model. The proposed model parameters' error was analyzed and simulated using suitable probability density distributions, and results were presented.
Internet of Things, Localization, Wildlife Monitoring, Animal Tracking, Sensor Networks
Короткий адрес: https://sciup.org/15018469
IDR: 15018469 | DOI: 10.5815/ijwmt.2022.03.05
Список литературы Real-Time Animal Location Estimation Using Wearable Sensors and Cellular Mobile Networks
- I. Zafeiriou, "IoT and Mobility in Smart Cities," 2020 3rd World Symposium on Communication Engineering (WSCE), 2020, pp. 91-95, DOI: 10.1109/WSCE51339.2020.9275584.
- S. K. Routray, K. P. Sharmila, E. Akanskha, A. D. Ghosh, L. Sharma and M. Pappa, "Narrowb and IoT (NBIoT) for Smart Cities," 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), 2021, pp. 393-398, doi: 10.1109/ICICV50876.2021.9388513.
- M. W. P. Maduranga and R. Abeysekera, "Machine learning applications in IoT based agriculture and smart farming: A review," Int. J. Eng. Appl. Sci. Technol., vol. 4, no. 12, pp. 24–27, May 2020.
- M. Magno, F. Vultier, B. Szebedy, H. Yamahachi, R. H. R. Hahnloser and L. Benini, "A Bluetooth-Low-Energy Sensor Node for Acoustic Monitoring of Small Birds," in IEEE Sensors Journal, vol. 20, no. 1, pp. 425-433, 1 Jan.1, 2020, doi: 10.1109/JSEN.2019.2940282.
- Chakchai So-In et al., "Mobile animal tracking systems using light sensor for efficient power and cost saving motion detection," 2012 8th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2012, pp. 1-6, DOI: 10.1109/CSNDSP.2012.6292789.
- M.W.P Maduranga, Ruvan Abeysekera, "TreeLoc: An Ensemble Learning-based Approach for Range Based Indoor Localization" In Proc. of International Journal of Wireless and Microwave Technologies, Vol.11, No.5, pp. 18-25, 2021.
- G. Ramesh, K. Sivaraman, V. Subramani, P. Y. Vignesh and S. V. V. Bhogachari, "Farm Animal Location Tracking System Using Arduino and GPS Module," 2021 International Conference on Computer Communication and Informatics (ICCCI), 2021, pp. 1-4, DOI: 10.1109/ICCCI50826.2021.9402610.
- W. -T. Peng and C. -Y. Chang, "Implementation of Smart Animal Tracking System Based on Artificial Intelligence Technique," 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020, pp. 1-2, DOI: 10.1109/ICCE-Taiwan49838.2020.9258245.
- V. D. N. Santos, B. Neves, and N. M. F. Ferreira, "Novel RSSI-based Localization System for Cattle and Animal Tracking," 2019 International Conference in Engineering Applications (ICEA), 2019, pp. 1-7, DOI: 10.1109/CEAP.2019.8883508.
- H. Bayram, K. Doddapaneni, N. Stefas and V. Isler, "Active localization of VHF collared animals with aerial robots," 2016 IEEE International Conference on Automation Science and Engineering (CASE), 2016, pp. 934-939, doi: 10.1109/COASE.2016.7743503.
- D. M. Pham and S. M. Aziz, "A real-time localization system for an endoscopic capsule," 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014, pp. 1-6, doi: 10.1109/ISSNIP.2014.6827653.
- F. Yang, J. Guo, X. Meng, J. Shi, Y. Xu and D. Zhang, "Determination of Weighted Mean Temperature (Tm) Lapse Rate and Assessment of Its Impact on Tm Calculation," in IEEE Access, vol. 7, pp. 155028-155037, 2019, doi: 10.1109/ACCESS.2019.2946916.
- J. Mao, J. Han and T. Cui, "Development and Assessment of Improved Global Pressure and Temperature Series Models," in IEEE Access, vol. 9, pp. 104429-104447, 2021, doi: 10.1109/ACCESS.2021.3099255.
- J. Seo, J. G. Lee, and C. G. Park, "Bias suppression of GPS measurement in inertial navigation system vertical channel," in Proc. PLANS, Monterey, CA, USA, Apr. 2004, pp. 143–147, doi: 10.1109/PLANS.2004.1308986
- Iyyanki V. Muralikrishna, Valli Manickam, "Air Pollution Control Technologies" in Environmental Management, 2017 .
- D. Mutiibwa, S. Strachan and T. Albright, "Land Surface Temperature and Surface Air Temperature in Complex Terrain," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 10, pp. 4762-4774, Oct. 2015, doi: 10.1109/JSTARS.2015.2468594.
- S. Krishna et al., "A method for accurate estimation of altitude in re-entry vehicles using flush air data sensing system (FADS)," 2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 2014, pp. 1-5, doi: 10.1109/AICERA.2014.6908179.
- A. Benali, A. C. Carvalho, J. P. Nunes, N. Carvalhais and A. Santos, "Estimating air surface temperature using MODIS LST data", Remote Sens. Environ., vol. 124, pp. 108-121, 2012.
- Y. H. Kerr, J. P. Lagouarde, F. Nerry and C. Ottlé, "Land surface temperature retrieval techniques and applications: Case of AVHRR" in Thermal Remote Sensing in Land Surface Processes, Boca Raton, FL, USA:CRC Press, pp. 33-109, 2004.
- M. Langer, S. Westermann and J. Boike, "Spatial and temporal variations of summer surface temperatures of wet polygonal tundra in Siberia—Implications for MODIS LST based permafrost monitoring", Remote Sens. Environ., vol. 114, no. 9, pp. 2059-2069, 2010.
- M. Langer, S. Westermann and J. Boike, "Spatial and temporal variations of summer surface temperatures of wet polygonal tundra in Siberia—Implications for MODIS LST based permafrost monitoring", Remote Sens. Environ., vol. 114, no. 9, pp. 2059-2069, 2010.
- A. Orduyilmaz, G. Kara, A. E. Gürel, M. Serin, A. Yildirim and G. Soysal, "Real time four channel phase comparison direction finding method," 2018 26th Signal Processing and Communications Applications Conference (SIU), 2018, pp. 1-4, doi: 10.1109/SIU.2018.8404590.
- M. Movahhedi, A. . -A. Tadaion and M. . -R. Aref, "A novel approach to radio direction finding and detecting the number of sources simultaneously: DMSAE algorithm," 34th European Microwave Conference, 2004., 2004, pp. 745-748.
- A. Orduyılmaz, M. Serin, A. Yıldırım, K. Ceyhan and A. C. Gürbüz, "Hybrid phase amplitude direction finding method," 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015, pp. 109-112, doi: 10.1109/SIU.2015.7130142.
- G. Ni, C. He, J. Chen, L. Bai and R. Jin, "Direction Finding and Performance Analysis With 1 bit Time Modulated Array," in IEEE Transactions on Antennas and Propagation, vol. 69, no. 10, pp. 6881-6893, Oct. 2021, doi: 10.1109/TAP.2021.3076297.
- B. Huyart, J. . -J. Laurin, R. G. Bosisio and D. Roscoe, "A direction-finding antenna system using an integrated six-port circuit," in IEEE Transactions on Antennas and Propagation, vol. 43, no. 12, pp. 1508-1512, Dec. 1995, doi: 10.1109/8.475948.
- H. Krim and M. Viberg, "Two decades of array signal processing research: The parametric approach", IEEE Signal Process. Mag., vol. 13, no. 4, pp. 67-94, Jul. 1996.
- M. U. Sheikh and J. Lempiäinen, "Analysis of multipath propagation for 5G system at higher frequencies in microcellular environment," 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 2017, pp. 1660-1664, doi: 10.1109/IWCMC.2017.7986533
- M. U. Sheikh, J. Säe and J. Lempiäinen, "Multipath Propagation Analysis of 5G Systems at Higher Frequencies in Courtyard (Small Cell) Environment," 2018 IEEE 5G World Forum (5GWF), 2018, pp. 239-243, doi: 10.1109/5GWF.2018.8516716.
- P. Muszynski and H. Holma, "Introduction to WCDMA," in WCDMA for UMTS—Radio Access for Third Generation Mobile Communications, H. Holma and A. Toskala, Eds., chapter 3, pp. 43–49, John Wiley & Sons, 3rd edition, 2004.