Abstract
Deployment of Wireless Sensors encounter the first challenge of localization prior routing and networking. Localization can consume considerable energy of the already resource hungry sensors. Offloading the localization problem to the base station through a set of mobile sinks can facilitate high levels of computations which can enable localization as well as the routing protocol establishment. The paper brings out simple mathematical model of location estimation of the sensor nodes.
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References
Bulusu, N., Heidemann, J., Estrin, D.: GPS-less low-cost outdoor localization for very small devices. IEEE Pers. Commun. 7(5), 28–34 (2000)
Li, X., Shi, H., Shang, Y.: A partial-range-aware localization algorithm for Ad-hoc wireless sensor networks. In: Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks, LCN 2004, 16–18 November 2004, pp. 77–83
Wang, Y., Wang, X., Wang, D., Agrawal, D.P.: Range-free localization using expected hop progress in wireless sensor networks. In: IEEE Transactions on Parallel and Distributed Systems, vol. 20, no. 10, pp. 1540–1552, October 2009
Kmar, P., Reddy, L., Varma, S.: Distance measurement and error estimation scheme for RSSI based localization in wireless sensor networks. In: Fifth IEEE Conference on Wireless Communication and Sensor Networks (WCSN), Allahabad, India, pp. 1–4, December 2009
Voltz, P.J., Hernandez, D.: Maximum likelihood time of arrival estimation for real-time physical location tracking of 802.11a/g mobile stations in indoor environments. In: Position Location and Navigation Symposium (PLANS), California, USA, pp. 585–591, April 2004
Kovavisaruch, L., Ho, K.C.: Alternate source and receiver location estimation using TDOA with receiver position uncertainties. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005), Pennsylvania, USA, pp. iv/1065–iv/1068, March 2005
Rong, P., Sichitiu, M.: Angle of arrival localization for wireless sensor networks. In: Annual IEEE Communication Society on Sensor Ad hoc Communication Networks, USA, vol. 1, pp. 374–382 (2006)
Kusy, B., Ledeczi, A., Koutsoukos, X.: Tracking mobile nodes using RF doppler shifts. In: Proceedings of the 5th International Conference on Embedded Networked Sensor Systems. ACM (2007)
Sichitiu, M.L., Ramadurai, V.: Localization of wireless sensor networks with a mobile beacon. In: 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems. IEEE (2004)
Bal, M., et al.: Localization in cooperative wireless sensor networks: a review. In: 13th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2009. IEEE (2009)
Kuriakose, J., Joshi, S., George, V.I.: Localization in wireless sensor networks: a survey (2014). arXiv preprint arXiv:1410.8713
Rashid, H., Turuk, A.K.: Dead reckoning localisation technique for mobile wireless sensor networks. IET Wirel. Sens. Syst. 5(2), 87–96 (2015)
Parwekar, P., Reddy R.: An efficient fuzzy localization approach in wireless sensor networks. IEEE International Conference on Fuzzy Systems (FUZZ). IEEE 2013 (2013)
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Parwekar, P., Vangala, A. (2018). Localization of Sensors in Wireless Sensor Networks. In: Mandal, J., Sinha, D. (eds) Social Transformation – Digital Way. CSI 2018. Communications in Computer and Information Science, vol 836. Springer, Singapore. https://doi.org/10.1007/978-981-13-1343-1_1
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DOI: https://doi.org/10.1007/978-981-13-1343-1_1
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