Crt Based Rsa Algorithm For Improving Reliability And Energy Efficiency With Kalman Filter In Wireless Sensor Networks

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2013 by IJETT Journal
Volume-4 Issue-5                      
Year of Publication : 2013
Authors : B.Arutselvan , R.Maheswar


B.Arutselvan , R.Maheswar. "Crt Based Rsa Algorithm For Improving Reliability And Energy Efficiency With Kalman Filter In Wireless Sensor Networks". International Journal of Engineering Trends and Technology (IJETT). V4(5):1924-1929 May 2013. ISSN:2231-5381. published by seventh sense research group.


Broadcast authentication is a critical security service in wireless sensor networks (WSNs). However, due to resource constrained of sensor nodes, providing an authentication mechanism for broadcast message is difficult. This paper deals with the forwarding scheme for wireless sensor networks aimed at combining low computational complexity and high performance in terms of energy efficiency with RSA Cryptosystem. The proposed approach relies on a packet - splitting algorithm based on the Chinese Remainder Theorem (CRT) and is characterized by a simple modular division between integers and a Kalman filter is used to reduce the noise and find the shortest path to reach the receiving end. RSA uses the Chinese Remainder Theorem to associate the authenticating procedure of the authentication key and the Message Authentication Code of broadcast messages together. The reliability in the network and use it to allocate network resources to minimize energy while the reliability of the network is guaran teed. The Simulation is done through MATLAB which provides the data authentication using RSA cryptosystem and shows that the proposed algorithm outperforms traditional approaches in terms of energy saving with practical issues such as the effect of unrelia ble channels and topology changes, reliability, simplicity and fair distribution of energy consumption among all nodes in the network and finds the shortest path and also reduces the noise in the receiver end.


[1]. A rutselvan.B and Maheswari.R (2013), ?Improving reliability and energy efficiency using packet splitting based on the CRT forwarding technique and Kalman filter in wireless sensor networks?, ICICES, 2013 International conference, Pg. 701 - 705.
[2]. Giuseppe Camp obello, Alessandro Leonardi, and Sergio Palazzo (2012), ? Improving Energy Saving and Reliability in Wireless Sensor Networks Using a Simple CRT - Based Packet - Forwarding Solution ?, IEEE/ACM transactions on networking, vol. 20, no. 1, pp. 191 - 205, February.
[3]. F . Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci (2002), ?A survey on sensor networks,? IEEE Commun. Mag. , vol. 40, no. 8, pp. 102 – 114, August.
[4]. P. Djukic and S. Valaee (2004), ?Minimum energy reliable ad hoc networks,? in Proc. 22nd Bienni. Symp. C ommun. , Kingston, ON, Canada, June, pp. 150 – 152.
[5]. Campobello, A. Leonardi, and S. Palazzo (2008), ?On the use of Chinese Remainder Theorem for energy saving in wireless sensor networks,? in Proc. IEEE ICC , Beijing, China, May, pp. 2723 – 2727.
[6]. Anastasi, M. Co nti, M. Di Francesco, A. Passarella (2007), ?How to Prolong the Lifetime of Wireless Sensor Network. Handbook of Mobile Ad Hoc and Pervasive Communications . Chapter 6 in Mobile Ad Hoc and Pervasive Communications?, (M. Denko and L. Yang, Editors), American Scientific Publishers.
[7]. Campobello, A. Leonardi, and S. Palazzo (2009), ?A novel reliable and energy - saving forwarding technique for wireless sensor networks,? in Proc. ACM MobiHoc , New Orleans, LA, May 18 – 21, pp. 269 – 278.
[8]. Fasolo, M. Rossi, J. Widmer, and M. Zorzi, (2007), ?In - network aggregation techniques for wireless sensor networks: A survey,? IEEEWireless Commun. , vol. 14, no. 2, pp. 70 – 87, April.
[9]. D. Ganesan, R. Govindan, S. Shenker, D. Estrin, (2002). ?Highly Resilient, Energy Efficient Multipath Rout ing in Wireless Sensor Networks. Mobile Computing and Communications Review (MC2R)” . Vol. 1, No. 2, 2002.

RSA Algorithm, Chinese Remainder Theorem (CRT), Packet splitting, Energy Efficiency, Kalman filter.