Abstract
The paper presents path loss model for a WSN in an open space on the basis of measurements. The measurements were performed in different weather conditions i.e. temperature and humidity in agricultural area. Theoretical path loss models are always flawed because of their exponential relationship. This causes an increase in error during the localization process. Thus, the determination of the path loss exponent constant based on measurement results become so important. The study focused on designation of the path loss model for different weather conditions. The influence of the temperature and the humidity on the RSSI distribution was analysed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Gaj, P., Jasperneite, J., Felser, M.: Computer communication within industrial distributed environment-a survey. IEEE Trans. Industr. Inf. 9, 182–189 (2013)
Kouril, J.: Using RSSI parameter in tracking methods – practical test. In: 2011 34th International Conference on Telecommunications and Signal Processing (TSP), pp. 248–251, 18–20 August 2011
Han, G., Xu, H., Duong, T.Q., Jiang, J., Hara, T.: Localization algorithms of Wireless Sensor Networks: a survey. Telecommun. Syst. 52(4), 2419–2436 (2013)
Alsayyari, A., Kostanic, I., Otero, C.E.: An empirical path loss model for wireless sensor network deployment in a concrete surface environment. In: 2015 IEEE 16th Annual Wireless and Microwave Technology Conference (WAMICON), Cocoa Beach, pp. 1–6 (2015)
Mistry, H.P., Mistry, N.H.: RSSI based localization scheme in wireless sensor networks: a survey. In: Fifth International Conference on Advanced Computing and Communication Technologies, pp. 647–652, 21–22 February 2015
Kwiecień, A., Maćkowski, M., Kojder, M., Manczyk, M.: Reliability of bluetooth smart technology for indoor localization system. In: Gaj, P., Kwiecień, A., Stera, P. (eds.) CN 2015. CCIS, vol. 522, pp. 444–454. Springer, Cham (2015). doi:10.1007/978-3-319-19419-6_42
Czerwinski, D., Przylucki, S., Mukharsky, D.: RSSI-based localisation of the radio waves source by mobile agents. In: Gaj, P., Kwiecień, A., Stera, P. (eds.) CN 2016. CCIS, vol. 608, pp. 370–383. Springer, Cham (2016). doi:10.1007/978-3-319-39207-3_32
Torabi, A., Zekavat, S.A.: A rigorous model for predicting the path loss in near-ground wireless sensor networks. In: 2015 IEEE 82nd Vehicular Technology Conference (VTC 2015-Fall), Boston, MA, pp. 1–5 (2015)
Olasupo, T.O., Otero, C.E., Olasupo, K.O., Kostanic, I.: Empirical path loss models for wireless sensor network deployments in short and tall natural grass environments. IEEE Trans. Antennas Propag. 64(9), 4012–4021 (2016)
Chuan Chin, P., Lim, S.Y., Ooi, P.C.: Measurement arrangement for the estimation of path loss exponent in wireless sensor network. In: 2012 7th International Conference on Computing and Convergence Technology (ICCCT), Seoul, pp. 807–812 (2012)
Aosong Electronics Co., Ltd., Digital-output relative humidity and temperature sensor/module DHT22, December 2016. https://www.sparkfun.com/datasheets/Sensors/Temperature/DHT22.pdf
Digi International, XBee and XBee-PRO ZB Modules - Datasheet (2011). https://cdn.sparkfun.com/datasheets/Wireless/Zigbee/ds_xbeezbmodules.pdf
Arduino, Arduino Uno board, September 2014. https://www.arduino.cc/en/Main/ArduinoBoardUno
Arduino, Arduino Software (IDE), September 2014. https://www.arduino.cc/en/Guide/Environment
Rappaport, S.T.: Wireless Commnications: Principles and Practice, 2nd edn. Prentice Hall, Upper Saddle River (2002)
Alsayyari, A., Kostanic, I., Otero, C., Almeer, M., Rukieh, K.: An empirical path loss model for wireless sensor network deployment in a sand terrain environment. In: Proceedings of the IEEE World Forum Internet Things (WF-IoT), pp. 218–223 (2014)
Zaarour, N., Kandil, N., Affes, S., Hakem, N.: Path loss exponent estimation using connectivity information in wireless sensor network. In: 2016 IEEE International Symposium on Antennas and Propagation (APSURSI), Fajardo, pp. 2069–2070 (2016)
Ahmed, N., Kanhere, S.S., Jha, S.: Link characterization for aerial wireless sensor networks. In: 2011 IEEE GLOBECOM Workshops (GC Workshops), pp. 1274–1279 (2011)
Thompson, R., Cetin, E., Dempster, A.: Unknown source localization using RSS in open areas in the presence of ground reflections. In: 2012 IEEE/ION Position Location and Navigation Symposium (PLANS), pp. 1018–1027 (2012)
Malajner, M., Benkic, K., Planinsic, P.: A new study regarding the comparison of calculated and measured RSSI values under different experimental conditions. Przeglad Elektrotechniczny 89, 214–219 (2013)
Piyare, R., Lee, S.: Performance analysis of XBee ZB module based wireless sensor networks. Int. J. Sci. Eng. Res. 4, 1615–1621 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Czerwinski, D., Przylucki, S., Wojcicki, P., Sitkiewicz, J. (2017). Path Loss Model for a Wireless Sensor Network in Different Weather Conditions. In: Gaj, P., Kwiecień, A., Sawicki, M. (eds) Computer Networks. CN 2017. Communications in Computer and Information Science, vol 718. Springer, Cham. https://doi.org/10.1007/978-3-319-59767-6_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-59767-6_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59766-9
Online ISBN: 978-3-319-59767-6
eBook Packages: Computer ScienceComputer Science (R0)