Path Parameters Effect on Localization Using a Mobile Anchor in WSN

Year 2020, Volume 3, Issue 2, 12 - 22, 07.12.2020

Nawel BOUKHARI Salim BOUAMAMA Adel MOUSSAOUİ

Abstract

Finding the physical positions of sensors after random deployment is called localization. One of the localization techniques is to use a mobile anchor that moves along a path to help unknown nodes to locate themselves automatically. In this paper, we study the impact of three essential parameters on the performance metrics of path planning models for mobile anchor-based localization to help configure the localization system for achieving better results. These parameters include path degree, mobile communication range and distance estimation errors. For this purpose, we analyzed four path planning methods: SCAN, HILBERT, Zcurve and LMAT in terms of localization accuracy, localization ratio, path length and cost of communication. Simulation results confirm the importance of path parameterization in the quality of the localization system with a mobile anchor node.

Keywords

Localization, Mobile anchor, Path planning model, Wireless sensor network

References

• Duriˇsi´c, M.P., Tafa, Z., Dimi´c, G., Milutinovi´c, V.: A survey of military applications of wireless sensor networks. In: 2012 Mediterranean conference on embedded computing (MECO). pp. 196{199. IEEE (2012)
• Han, G., Xu, H., Duong, T.Q., Jiang, J., Hara, T.: Localization algorithms of wireless sensor networks: a survey. Telecommunication Systems 52(4), 2419{2436 (2013)
• Han, G., Xu, H., Jiang, J., Shu, L., Hara, T., Nishio, S.: Path planning using a mobile anchor node based on trilateration in wireless sensor networks. Wireless Communications and Mobile Computing 13(14), 1324{1336 (2013)
• Kandris, D., Nakas, C., Vomvas, D., Koulouras, G.: Applications of wireless sensor networks: an up-to-date survey. Applied System Innovation 3(1), 14 (2020)
• Kashyap, R.: Applications of wireless sensor networks in healthcare. In: IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities, pp. 8{40. IGI Global (2020)
• Koutsonikolas, D., Das, S.M., Hu, Y.C.: Path planning of mobile landmarks for localization in wireless sensor networks. Computer Communications 30(13), 2577{ 2592 (2007)
• Mahapatra, R.K., Shet, N.S.V.: Experimental analysis of rssi-based distance estimation for wireless sensor networks. In: 2016 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER). pp. 211{215. IEEE (2016)
• Makhoul, A.: Reseaux de capteurs: localisation, couverture et fusion de donnees. Ph.D. thesis, Universit´e de Franche-Comt´e (2008)
• Niewiadomska-Szynkiewicz, E.: Localization in wireless sensor networks: Classification and evaluation of techniques. International Journal of Applied Mathematics and Computer Science 22(2), 281{297 (2012)
• Oguejiofor, O., Aniedu, A., Ejiofor, H., Okolibe, A.: Trilateration based localization algorithm for wireless sensor network. International Journal of Science and Modern Engineering (IJISME) 1(10), 2319{6386 (2013)
• Peng, R., Sichitiu, M.L.: Angle of arrival localization for wireless sensor networks.In: 2006 3rd annual IEEE communications society on sensor and ad hoc communications and networks. vol. 1, pp. 374{382. IEEE (2006)
• Rajasekaran, T., Anandamurugan, S.: Challenges and applications of wireless sensor networks in smart farminga survey. In: Advances in big data and cloud computing, pp. 353{361. Springer (2019)
• Rezazadeh, J., Moradi, M., Ismail, A.S., Dutkiewicz, E.: Superior path planning mechanism for mobile beacon-assisted localization in wireless sensor networks.IEEE Sensors Journal 14(9), 3052{3064 (2014)
• Schwarzer, S., Vossiek, M., Pichler, M., Stelzer, A.: Precise distance measurement with ieee 802.15. 4 (zigbee) devices. In: 2008 IEEE Radio and Wireless Symposium.pp. 779{782. IEEE (2008)