Abstract
Power grids deal with the business of generation, transmission, and distribution of electric power. Current systems monitor basic electrical quantities such as voltage and current from major pole transformers with their temperature. We improve the current systems in order to gather and deliver the information of power qualities such as harmonics, voltage sags, and voltage swells. In the system, data delivery is not guaranteed for the case that a node is lost or the network is congested, because the system has the in-line and multi-hop architecture. In this paper, we propose a reliable data delivery mechanism by modeling an optimal data delivery function by employing the neural network concept.
This work was supported by Inha University Research Grant.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Santoso, S., Beaty, H.W., Dugan, R.C., McGranaghan, M.F.: Electrical Power Systems Quality. McGraw-Hill, New York (1996)
Al-Karaki, J.N., Kamal, A.E.: Routing Techniques in Wireless Sensor Networks: A Survey. IEEE Wireless Communications 11(6), 6–28 (2004)
Niculescu, D.: Communication Paradigms for Sensor Networks. IEEE Communications Magazine 43(3), 116–122 (2005)
Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice-Hall, New Jersey (1998)
IEEE Std. 802.11. Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification: Higher Speed Physical Layer (PHY) Extension in the 2.4GHz Band (1999)
Anagnostopoulos, C., Hadjiefthymiades, S.: Enhancing Situation-Aware Systems through Imprecise Reasoning. IEEE Trans. on Mobile Computing 7(10), 1153–1168 (2008)
Toumpis, S., Goldsmith, A.J.: Capacity Regions for Wireless Ad Hoc Networks. IEEE Trans. on Wireless Communications 2(4), 736–748 (2003)
Rayanchu, S., Mishra, A., Agrawal, D., Saha, S., Banerjee, S.: Diagnosing Wireless Packet Losses in 802.11: Separating Collision from Weak Signal. In: Proc. IEEE Conf. on Computer Communications (INFOCOM), pp. 735–743. IEEE Press, Los Alamitos (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lim, Y., Kim, HM., Kang, S. (2010). Reliable Power Quality Data Delivery Mechanism Using Neural Network in Wireless Sensor Network. In: Kim, Th., Stoica, A., Chang, RS. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2010. Communications in Computer and Information Science, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16444-6_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-16444-6_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16443-9
Online ISBN: 978-3-642-16444-6
eBook Packages: Computer ScienceComputer Science (R0)