Abstract
This paper presents a brief overview of recently developed algorithms for target localization and tracking using combined angle of arrival (AoA) and received signal strength (RSS) observations. Due to the non-linearity and non-convexity of the problem at hand, our main focus here is on the estimators that solve the localization problem by transforming it into more suitable frameworks. In other words, these estimators share the main objective in which the original problem is approximated by another (possibly convex) one whose solution can be readily found. Different convex relaxation techniques are described, and the paper presents recent advancement of the techniques in the sense of both computational complexity and localization accuracy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Tomic, S., Beko, M., Dinis, R.: Distributed RSS-based localization in wireless sensor networks based on second-order cone programming. Sensors 14(10), 18410–18432 (2014)
Tomic, S., Beko, M., Dinis, R.: RSS-based localization in wireless sensor networks using convex relaxation: noncooperative and cooperative schemes. IEEE Trans. Veh. Technol. 64(5), 2037–2050 (2015)
Tomic, S., Beko, M., Dinis, R.: 3-D target localization in wireless sensor network using RSS and AoA measurement. IEEE Trans. Veh. Technol. 66(4), 3197–3210 (2017)
Tomic, S., Beko, M., Dinis, R.: Distributed RSS-AoA based localization with unknown transmit powers. IEEE Wirel. Commun. Lett. 5(4), 392–395 (2016)
Tomic, S., Beko, M., Dinis, R., Montezuma, P.: Distributed algorithm for target localization in wireless sensor networks using RSS and AoA measurements. Pervasive Mob. Comput. 37, 63–77 (2016)
Tomic, S., Beko, M., Dinis, R., Montezuma, P.: A closed-form solution for RSS/AoA target localization by spherical coordinates conversion. IEEE Wirel. Commun. Lett. 5(6), 680–683 (2016)
Tomic, S., Beko, M., Dinis, R., Gomes, J.P.: Target tracking with sensor navigation using coupled RSS and AoA measurements. Sensors 17(7), 1–26 (2017)
Tomic, S., Beko, M., Dinis, R., Montezuma, P.: A robust bisection-based estimator for TOA-based target localization in NLOS environments. IEEE Commun. Lett. 21(11), 2488–2491 (2017)
Tomic, S., Beko, M.: A bisection-based approach for exact target localization in NLOS environments. Sign. Process. 143, 328–335 (2018)
Tomic, S., Beko, M., Dinis, R., Tuba, M., Bacanin, N.: Bayesian methodology for target tracking using RSS and AoA measurements. Phys. Commun. 25(Part 1), 158–166 (2017)
Tomic, S., Beko, M.: Exact robust solution to TW-ToA-based target localization problem with clock imperfections. IEEE Sign. Process. Lett. (2017, submitted)
Beko, M., Tomic, S., Dinis, R., Montezuma, P.: Método de geolocalização 3-D em redes de sensores sem fio não cooperativas. PT, no. 108735 (2015, pending). Published in the Industrial Property Bulletin no. 21/2017 (2017)
Beko, M., Tomic, S., Dinis, R., Montezuma, P.: Método para localização tridimensional de nós alvo numa rede de sensores sem fio baseado em medições de potência recebida e angulos de chegada do sinal recebido. PT, no. 108963 (2015, pending) (2017)
Beko, M., Tomic, S., Dinis, R., Montezuma, P.: Method for RSS/AoA target 3-D localization in wireless networks. USA, no. 15287880 (2016, pending) (2017)
Tomic, S., Beko, M., Dinis, R., Tuba, M., Bacanin, N.: RSS-AoA-Based Target Localization and Tracking in Wireless Sensor Networks, 1st edn. River Publishers, Gistrup (2017)
Tomic, S., Marikj, M., Beko, M., Dinis, R., Tuba, M: Hybrid RSS/AoA-based localization of target nodes in a 3-D wireless sensor network. In: Yurish, S.Y., Malayeri, A.D. (eds.) Sensors & Signals. Book Series, pp. 71–85. IFSA Publishing (2015). ISBN 978-84-608-2320-9
Tomic, S., Beko, M., Dinis, R., Tuba, M.: Target localization in cooperative wireless sensor networks using measurement fusion. In: Yurish, S.Y. (ed.) Advances in Sensors: Reviews, vol. 3 Sensors, Transducers, Signal Conditioning and Wireless Sensors Networks. Book Series, vol. 3, pp. 329–344. IFSA Publishing (2016). ISBN 978-84-608-7705-9
Tomic, S., Beko, M., Dinis, R., Tuba, M.: Distributed algorithm for multiple target localization in wireless sensor networks using combined measurements. In: Yurish, S.Y. (ed.) Advances in Sensors: Reviews, vol. 4 Sensors and Applications in Measuring and Automation Control Systems. Book Series, vol. 4, pp. 263–275. IFSA Publishing (2017). ISBN 978-84-617-7596-5
Ling, H., Znati, T., Comfort, L.K.: Designing resilient systems: integrating science, technology, and policy in international risk reduction. In: Comfort, L.K., Boin, A., Demchak, C.C. (eds.) Designing Resilience: Preparing for Extreme Events, pp. 244–271. University of Pittsburgh Press, Pittsburgh (2010). ISBN 978-0-8229-7370-6
Yu, K.: 3-D localization error analysis in wireless networks. IEEE Trans. Wirel. Commun. 6(10), 3473–3481 (2007)
Khan, M.W., Kemp, A.H., Salman, N., Mihaylova, L.S.: Localisation of sensor nodes with hybrid measurements in wireless sensor networks. Sensors 16(7), 1–16 (2016)
Khan, M.W., Salman, N., Ali, A., Khan, A.M., Kemp, A.H.: A comparative study of target tracking with Kalman filter, extended Kalman filter and particle filter using received signal strength measurements. In: IEEE ICET, Peshawar, Pakistan, pp. 1–6 (2015)
Acknowledgments
This work was partially supported by Fundação para a Ciência e a Tecnologia under Programa Investigador FCT (Grant IF/00325/2015), Project UID/EEA/50008/2013, Project PEst-OE/EEI/UI0066/2014 and Project UID/EEA/50009/2013. The research of Slavisa Tomic was supported by Fundação para a Ciência e a Tecnologia under the grant SFRH/BD/91126/2012.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 IFIP International Federation for Information Processing
About this paper
Cite this paper
Tomic, S., Beko, M., Dinis, R. (2018). Hybrid RSS/AoA-Based Target Localization and Tracking in Wireless Sensor Networks. In: Camarinha-Matos, L., Adu-Kankam, K., Julashokri, M. (eds) Technological Innovation for Resilient Systems. DoCEIS 2018. IFIP Advances in Information and Communication Technology, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-78574-5_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-78574-5_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-78573-8
Online ISBN: 978-3-319-78574-5
eBook Packages: Computer ScienceComputer Science (R0)