CFP last date
20 December 2024
Reseach Article

Deterministic Key Distribution in Wireless Sensor Network using Finite Affine Plane

by Nagendra Nath Giri, G. Mahadevan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 19
Year of Publication: 2013
Authors: Nagendra Nath Giri, G. Mahadevan
10.5120/10191-4879

Nagendra Nath Giri, G. Mahadevan . Deterministic Key Distribution in Wireless Sensor Network using Finite Affine Plane. International Journal of Computer Applications. 62, 19 ( January 2013), 35-38. DOI=10.5120/10191-4879

@article{ 10.5120/10191-4879,
author = { Nagendra Nath Giri, G. Mahadevan },
title = { Deterministic Key Distribution in Wireless Sensor Network using Finite Affine Plane },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 19 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 35-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number19/10191-4879/ },
doi = { 10.5120/10191-4879 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:12:43.696738+05:30
%A Nagendra Nath Giri
%A G. Mahadevan
%T Deterministic Key Distribution in Wireless Sensor Network using Finite Affine Plane
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 19
%P 35-38
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Security of large scale densely deployed and infrastructure-less wireless networks of resource limited sensor nodes requires efficient key distribution and management mechanisms. Key management is an important area of research in Wireless Sensor Networks (WSN), because resource constraints make security protocols difficult to be implemented. Key predistribution, a new combinatorial scheme for key distribution that makes use of ?nite plane. This gives rise to a new type of combinatorial design. Which involves preloading keys in sensor nodes, has been considered as the best solution when sensor nodes are battery powered and have to work unattended.

References
  1. J. Evans, D. Raychaudhuri, and S. Paul, "Overview of Wireless, Mobile and Sensor Networks in GENI," GENI Design Document 06- 14, Wireless Working Group, 2006.
  2. S. Olariu and I. Stojmenovi_c, "Design Guidelines for Maximizing Lifetime and Avoiding Energy Holes in Sensor Networks with Uniform Distribution and Uniform Reporting," Proc. IEEE INFOCOM, 2006.
  3. Ian F. Akyildizon, Weilian Su, Yogesh Sankasubramanium and Erdal Cayirici, A Survey on Sensor Networks, IEEE communications Magazine, August 2002, pp 102 - 114
  4. H. Zhang and H. Shen, "Balancing Energy Consumption to Maximize Network Lifetime in Data-Gathering Sensor Networks," IEEE Trans. Parallel and Distributed Systems, vol. 20, no. 10, pp. 1526-1539, Oct. 2009.
  5. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy- Efficient Communication Protocols for Wireless Micro sensor Networks," Proc. Hawaiian Int'l Conf. Systems Science, 2000.
  6. O. Younis and S. Fahmy, "HEED: A Hybrid, Energy-Efficient Distributed Clustering Approach for Ad Hoc Sensor Networks," IEEE Trans. Mobile Computing, vol. 3, no. 4, pp. 366-379, Oct. -Dec. 2004.
  7. M. Singh and V. Prasanna, "Energy-Optimal and Energy-Balanced Sorting in a Single-Hop Wireless Sensor Network," Proc. First IEEE Int'l Conf. Pervasive Computing and Comm. , 2003.
  8. H. Lin, M. Lu, N. Milosavljevic, J. Gao, and L. J. Guibas, "Composable Information Gradients in Wireless Sensor Networks," Proc. Seventh Int'l Conf. Information Processing in Sensor Networks (IPSN), pp. 121-132, 2008.
  9. Y. Xu, J. Heidemann, and D. Estrin, "Geography-Informed Energy Conservation for Ad-Hoc Routing," Proc. ACM MobiCom, 2001.
  10. V. Rodoplu and T. H. Meng, "Minimum Energy Mobile Wireless Networks," IEEE J. Selected Areas in Comm. , vol. 17, no. 8, pp. 1333- 1344, Aug. 1999.
  11. W. Heinzelman, J. Kulik, and H. Balakrishnan, "Adaptive Protocols for Information Dissemination in Wireless Sensor Networks," Proc. ACM MobiCom, 1999.
  12. D. H. Armitage and S. J. Gardiner, Classical Potential Theory. Springer, 2001.
  13. C. Schurgers and M. Srivastava, "Energy Efficient Routing in Wireless Sensor Networks," Proc. Military Comm. Conf. (MILCOM), 2001.
  14. K. Kalpakis, K. Dasgupta, and P. Namjoshi, "Maximum Lifetime Data Gathering and Aggregation in Wireless Sensor Networks," Proc. IEEE Int'l Conf. Networking (ICN), pp. 685-696, 2002.
  15. D. H. Armitage and S. J. Gardiner, Classical Potential Theory. Springer, 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Security Key Management Affine plane