A New Approach of Data Aggregation in Wireless Sensor Networks

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In this paper we discuss algorithms that allow the concealed data aggregation (CDA) in wireless sensor networks. We describe and evaluate three algorithms that were reported to suit to the WSN scenario. As result of the evaluation, where we emphasize the awareness to potential attack scenarios, we present a brief overview of strengths and weaknesses of the algorithms. Since no algorithm provides all desirable goals, we propose two approaches to cope with the problems. The first is the successive combination of two algorithms. It increases security, while the additional efforts can be minimized by carefully selected parameters. For the second approach we face specific weaknesses and engineer mechanisms that solve the particular issues. With the considered homomorphic message authentication code and a discussion of the id-issue we exemplary evaluate the two biggest issues of the very promising CMT algorithm.

Published In : IJCAT Journal Volume 1, Issue 9

Date of Publication : 31 October 2014

Pages : 473 - 479

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Tables : 01

Publication Link : A New Approach of Data Aggregation in Wireless Sensor Networks

D. Bhargav Reddy : B.Tech Student

Bitu Kumar : B.Tech Student

B.Giridhar : Asst.prof in CSE dept

Chandan Kumar Giri : Asst.prof in CSE dept

Wireless Sensor Network

In this work we have studied the two most important parts of data communication in sensor networks- query processing, data aggregation and realized how communication in sensor networks is different from other wireless networks. Wireless sensor networks are energy constrained network. Since most of the energy consumed for transmitting and receiving data, the process of data aggregation becomes an important issue and optimization is needed. Efficient data aggregations not only provide energy conservation but also remove redundancy data and hence provide useful data only.

[1] S. Lindsey and C. Raghavendra, “PEGASIS: Powerefficient gathering in sensor information systems,” in 2010 IEEE International Conference on Computational Intelligence and Computing Research Proceedings of IEEE AerospaceConference, vol. 3, Mar. 2002, pp. 1125–1130. [2] M. Lee, and S. Lee, “Data Dissemination for Wireless Sensor Networks”, in Proceedings of the 10 th IEEE International Symposium on Object and Component- Oriented Real-Time Distributed Computing (ISORC’07). [3] C. Intanagonwiwat, R. Govindan, D. Estrin, J. Heidemann, and F. Silva, “Directed Diffusion for Wireless Sensor Networking”, IEEE/ACM Transactions on Networking, Vol. 11, no. 1, Feb 2003. [4] H. Cam, S. Ozdemir, P. Nair, and D.Muthuavina shiappan, “ESPDA: Energy-Efficient and Secure Pattern-based Data Aggregation for Wireless Sensor Networks”, in Proceedings of IEEE Sensor- The Second IEEE Conference on Sensors, Toronto, Canada, Oct. 22-24, 2003, pp. 732-736. [5] Chalermek Intanagonwiwat, Ramesh Govindan, and Deborah Estrin, “Directed diffusion: a scalable and robust communication paradigm for sensor networks”, (MobiCom 2000) pp 56-67. [6] K. Dasgupta, K. Kalpakis, and P. Namjoshi, “An Efficient Clustering-based Heuristic for Data Gathering and Aggregation in Sensor Networks”, IEEE 2003. [7] E. Fasolo, M. Rossi, J. Widmer, and M. Zorzi, “In- Network Aggregation Techniques for Wireless Sensor Networks: A Survey”, IEEE Wireless communication 2007. [8] M. Lee and V.W.S. Wong, “An Energy-aware Spanning Tree Algorithm for Data Aggregation in Wireless Sensor Networks,” IEEE PacRrim 2005, Victoria, BC, Canada, Aug. 2005. [9] M. Ding, X. Cheng, and G. Xue, “Aggregation tree construction in sensor networks,” in Proc. of IEEE VTC’03, Vol. 4, Orlando, FL, Oct. 2003. [10] “The Design Space of Wireless Sensor Networks” by Kay R¨omer and Friedemann Mattern [11] http://en.wikipedia.org/wiki/Wireless_Sensor_Network [12] Wendi B. Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan, “Energy Efficient Communication Protocol for Wireless Microsensor Networks”, (33rd Hawaii International Conference on System Sciences, 2000). [13] S. Nath et al., “Synopsis Diffusion for Robust Aggregation in Sensor Networks,” ACM SenSys 2004, Baltimore, MD, Nov. 2004.