Abstract
Network lifetime is the one of the most important issues in WSN and is fundamental to any design and development effort. In continuous monitoring application, the Wireless sensor Network (WSN) is generated data continuously and transmit to base station with a predefined frequency. The dominant energy consumption in the WSN occurs in radio transceiver that is responsible for transmission and reception of data. In this work, a hybrid (combined data and information) aggregation scheme is proposed to achieve energy efficiency by exploring the impact of heterogeneity of network for continuous Power Quality (PQ) monitoring application.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Intanagonwitat, C., Estrin, D., Govindan, R., Heidemann, J.: Impact of Network Density on Data Aggregation in wireless sensor Networks. In: ICDCS 2002 (2002)
Fakildiz, I., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A Survey on Sensor Networks. IEEE Communications Magazine 40(8), 102–114 (2002)
Min, R., et al.: Energy-centric enabling technologies for wireless sensor networks. In: Proceedings of IEEE Wireless Communications, pp. 28–39 (2002)
Sohrabi, K., et al.: Protocols for self-organization of a wireless sensor network. In: Proceedings of IEEE Personal Communications, vol. 7, pp. 16–27 (2000)
Estrin, D., et al.: Next century challenges: scalable coordination in sensor networks. In: Proceedings of MOBICOMM, pp. 263–270 (1999)
Raghunathan, V., et al.: Energy-Aware Wireless Sensor Networks. Proceedings of IEEE Signal Processing 19, 40–50 (2002)
Rajagopalan, R., Varhney, P.k.: Data Aggregation Techniques in Sensor Networks: A Survey. IEEE Communications Survey and Tutorials 8(4), 48–62 (2006)
Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., Silva, F.: Directed Diffusion for Wireless Sensor Networking. ACM/IEEE Transactions on Networking 11(1), 2–16 (2003)
Heinzelman, W.R.: Application-Specific Protocol Architectures for Wireless Networks, Ph.D. thesis, Massachusetts Institute of Technology (2000)
Younis, O., Fahmy, S.: HEED: a Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor networks. IEEE Trans. Mobile Computing 3(4), 366–379 (2004)
Chatterjea, S., Havinga, P.: A Dynamic Data Aggregation Scheme For Wireless Sensor Networks. In: Proc. Program for Research on Integrated Systems and Circuits, Veldhoven, The Netherlands (2003)
Lindsey, S., Raghavendra, C., Sivalingam, K.M.: Data Gathering Algorithms in Sensor Networks Using Energy metrics. IEEE Trans. Parallel and Distributed Systems 13(9), 924–935 (2002)
Ding, M., Cheng, X., Xue, G.: Aggregation Tree Construction in Sensor Networks. In: IEEE 58th Vehicle. Tech. Conf., vol. 4(4), pp. 2168–2172 (2003)
Tan, H.O., Korpeoglu, I.: Power Efficient Data Gathering and Aggregation in Wireless Sensor Networks. SIGMOD Record 32(4), 66–71 (2003)
Lindsey, S., Raghavendra, C.: PEGASIS: Power Efficient Gathering in Sensor Information Systems. In: IEEE Aerospace Conference, vol. 3, pp. 3-1125–3-1130 (2002)
Azim, M.A., Moad, S., Bouabdallah, N.: SAG: Smart Aggregation Technique for Continuous-Monitoring in Wireless Sensor Networks. In: IEEE Conference on Communications, pp. 1–6 (2010)
IEEE. Wireless medium access control (MAC) and physical layer (PHY) specifications for low rate wireless personal area networks (LR-WPANs). The Institute of Electrical and Electronics Engineers, New York, NY, USA (2003)
Rajkamal, R., Vanaja Ranjan, P.: Soft Computing Feature Extraction Algorithm with Minimum Entropy. International Journal of Distributed Energy Resources 6(3), 253–261 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rajkamal, R., Ranjan, P.V. (2011). A Hybrid Aggregation Technique for Continuous-Monitoring in Wireless Sensor Networks. In: Das, V.V., Stephen, J., Chaba, Y. (eds) Computer Networks and Information Technologies. CNC 2011. Communications in Computer and Information Science, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19542-6_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-19542-6_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19541-9
Online ISBN: 978-3-642-19542-6
eBook Packages: Computer ScienceComputer Science (R0)