Autosoft Journal

Online Manuscript Access

Energy-Aware Discrete Probabilistic Localization of Wireless Sensor Networks



Localizing sensor nodes is critical in the context of wireless sensor network applications. It has been shown that, for some applications, low-overhead discrete localization achieves results comparable to costly fine localization. This research presents a hybrid energy-aware discrete localization method that requires no transmission overhead from the sensor nodes. The proposed method, E-KalmaNN, is a combination of a Kalman-inspired localization and Artificial Neural Networks estimation that updates the position of a node with respect to a mobile reference. E-KalmaNN runs on the sensor nodes and supports different listening/wakeup frequencies for different nodes to balance power requirements with localization accuracy for each node. Simulation results show that the method converges to the correct position of the node in a relatively short time with high average location accuracy. Compared to the localization methods found in the literature, E-KalmaNN localizes with comparable accuracy, lower transmission costs and/or fewer motion restrictions.



Total Pages: 17
Pages: 407-423


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Volume: 19
Issue: 3
Year: 2013

Cite this document


Elhajj, I.H. & Gorski, J. Sensor Network and Robot Interaction Using Coarse Localization. (2006). IEEE/RSJ International Conference on Intelligent Robots and Systems. Beijing, China, October

Hu, L. & Evans, D. (2004). Localization for Mobile Sensor Networks. Proc. of the 10

Moore, D., Leonard, J., Rus, D. & Teller, S. (2004). Robust Distributed Network Localization with Noisy Range Measurements. Proc. of the 2

Priyantha, N., Chakraborty, A. & Balakrishnan, H. (2000). The Cricket Location Support System. Proc. of the 6

Galstyan, Aram et al. "Distributed Online Localization in Sensor Networks Using a Moving Target." Proceedings of the third international symposium on Information processing in sensor networks - IPSN”04 (2004): n. pag. Crossref. Web.

Priyantha, N., Balakrishnan, H., Demaine, E. & Teller, S. (2003). Anchor-free Distributed Localization in Sensor Networks. Technical Report #892. Cambridge, MA: MIT Laboratory for Computer Science

Savarese, C., Rabaey, J. & Beutel, J. (2001). Locationing in Distributed Ad-hoc Wireless Sensor Networks. Proc. of International Conference on Acoustics, Speech, and Signal Processing

Ramadurai V. Proc. ACM SIGMOBILE Mobile computing and Communications Review 11.1 (2007)

Xiao, B., Chen, H. & Zhou, S. (2007). A Walking Beacon-Assisted Localization in Wireless Sensor Networks. Proc. of IEEE International Conference, ICC ”07, Glasgow, Scotland, June

Want R. ACM Transactions on Information Systems 10.1 (1992)

Reichenbach, F., Blumenthal, J. & Timmermann, D. (2006). Improved Precision of Coarse Grained Localization in Wireless Sensor Networks. Proceedings of the 9

Bulusu N. IEEE Personal Communications Magazine

Khan Haseebulla M. Proceedings of the 2nd IEEE Workshop on Dependability and Security in Sensor Networks and Systems DSSNS 06

Gorski J. IEEE/ASME International Conference on Advanced Intelligent Mechatronics

Amro, A., Tabboush, A., Krsteva, A. & Elhajj, Imad H. (2008). Discrete Probabilistic Localization for Wireless Sensor Networks. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Xi”an, China, July 2-5

Kecman V. Learning and Soft Computing Support Vector Machines, Neural Networks, and Fuzzy Logic Models

Karl H. Protocols and Architectures for Wireless Sensor Networks


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."

Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048