Abstract
Localization is a fundamental issue in wireless sensor networks (WSNs). Localization with mobile anchors is one of the most efficient ways to deploy sensor nodes and locate them. Due to the limitations of cost and power consumption in WSNs, it is necessary to study the path planning of mobile anchor nodes, which is conducive to rapid localization with low energy consumption. This paper designs two path planning methods named TSCAN-R and TSCAN-E based on two mobile anchor nodes. They not only have short path lengths but can also overcome the problem of collinearity. Furthermore, a modified curve fitting-based localization method (MCFLM) is proposed. This method matches the distance between mobile anchor nodes in certain trajectories and unknown nodes and then infers the localization of the unknown nodes based on poles of distance curves. Simulation results indicate that MCFLM-based TSCAN-R and TSCAN-E have better localization accuracy and shorter path length than other methods.
Similar content being viewed by others
References
Abhishek, Yadav RK, Verma S, Venkatesan S (2021) iHRNL: iterative Hessian-based manifold regularization mechanism for localization in WSN. J Supercomput 77(10):12026–12049
Al-Janabi S, Salman AH (2021) Sensitive integration of multilevel optimization model in human activity recognition for smartphone and smartwatch applications. Gig Data Min Anal 4(2):124–138
Alomari A, Comeau F, Phillips W, Aslam N (2017) New path planning model for mobile anchor-assisted localization in wireless sensor networks. Wirel Netw 24(7):2589–2607
Bala Subramanian C, Balakaannan SP (2017) Optimized trajectory planning for mobile anchors in wireless sensor networks. In: Proceedings of IEEE international conference on intelligent techniques in control, optimization and signal processing, pp 1–5
Bala Subramanian C, Maragatharajan M, Balakannan SP (2021) Inventive approach of path planning mechanism for mobile anchors in WSN. J Ambient Intell Humaniz Comput 12(3):3959–3967
Gao X, Lin L, Lan T (2020) Design and research on the Chinese medicine health management system based on the wireless sensor network. In: Proc. of International conference on cyber security intelligence and analytics (CSIA), Shenyang, China, pp 55–61
Guo Z, Guo Y, Hong F, Jin Z, He Y, Feng Y, Liu Y (2010) Perpendicular intersection: locating wireless sensors with mobile beacon. IEEE Trans Veh Technol 59(7):3501–3509
Han G, Xu H, Jiang J, Shu L, Hara T, Nishio S (2013) Path planning using a mobile anchor node based on trilateration in wireless sensor networks. Wirel Commun Mob Comput 13(14):1324–1336
Han G, Jiang J, Zhang C, Duong TQ, Guizani M, Karagiannidis GK (2016) A survey on mobile anchor node assisted localization in wireless sensor networks. IEEE Commun Surv Tutor 18(3):2220–2243
Han G, Jiang J, Chao J, Yang X (2017) Path planning for a group of mobile anchor nodes based on regular triangles in wireless sensor networks. Neurocomputing 270:198–208
Harikrishnan R, Kumar VJS, Ponmalar PS (2016) A comparative analysis of intelligent algorithms for localization in wireless sensor networks. Wireless Pers Commun 87(3):1057–1069
Hu Z, Gu D, Song Z, Li H (2008) Localization in wireless sensor networks using a mobile anchor node. In: Proc. of IEEE/ASME international conference on advanced intelligent mechatronics, Xi’an, China, pp 602–607
Huang R, Za Ruba GV (2007) Static path planning for mobile beacons to localize sensor networks. In: Proc. 5th Annu. IEEE Int. Conf. Pervasive Computing Communication Workshops, White Plains, NY, USA, pp 323–330
Kannadasan K, Edla DR, Kongara MC, Kuppili V (2020) M-Curves path planning model for mobile anchor node and localization of sensor nodes using Dolphin swarm algorithm. Wirel Netw 26(4):2769–2783
Kargar-Barzi A, Mahani A (2020) H-V scan and diagonal trajectory: accurate and low power localization algorithms in WSNs. J Ambient Intell Humaniz Comput 11(7):2871–2882
Koutsonikolas D, Das SM, Charlie Hu Y (2006) Path planning of mobile landmarks for localization in wireless sensor networks. In: Proc. of the 26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW’06), pp 1–7
Li Y-Y, Qi G-Q, Sheng AD (2018) Performance metric on the best achievable accuracy for hybrid TOA/AOA target localization. IEEE Commun Lett 22(7):1474–1477
Lin KD, Lin BS, Lin GA, Lin BS (2021) An efficient constrained weighted least squares method with bias reduction for TDOA-Based localization. IEEE Sens J 21(8):10167–10173
Mehrabi M, Taheri H, Taghdiri P (2017) An improved DV-Hop localization algorithm based on evolutionary algorithms. Telecommun Syst 64(4):639–647
Mohanta TK, Das DK (2021) Class topper optimization based improved localization algorithm in wireless sensor network. Wirel Pers Commun 119(4):3319–3338
Nguyen Thu LN, Yoan S (2015) Received signal strength-based localization using delta method for non-cooperative scenario in wireless sensor networks. IEICE Trans Fundam Electron Commun Comput Sci E98A(1):450–454
Parwekar P, Rodda S (2018) Localization of sensor by base station in wireless sensor networks. J Sci Ind Res 77(2):83–86
Sabale K, Mini S (2019) Anchor node path planning for localization in wireless sensor networks. Wirel Netw 25(1):49–61
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Hu, W., Chen, J. & Yang, S. Two-mobile anchor node-based localization in wireless sensor networks. J Ambient Intell Human Comput 15, 697–709 (2024). https://doi.org/10.1007/s12652-023-04727-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12652-023-04727-1