NCPKS- Neighbourhood Connectivity Predicted Key Distribution for Location Dependent Sensor Network

M. Saikia¹ , A. Hussain²

¹ Dept. of CSE, NERIST, Itanagar, India.
² Dept. ECE, NERIST, Itanagar, India.

Correspondence should be addressed to: msk@nerist.ac.in.

Section:Research Paper, Product Type: Journal
Vol.5 , Issue.4 , pp.9-14, Aug-2017

Online published on Aug 30, 2017

Copyright © M. Saikia, A. Hussain . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Prior knowledge of positions of sensor network helps in key predistribution of a sensor network. Key predistribution is an important phase for ensuring security and it is done prior to deployment of sensor nodes into a specific target field. Intelligent robot can be used to deploy such nodes in their predetermined location. There are various key predistribution schemes (KPS in short) for wireless sensor network proposed earlier. Here in this paper, we propose a KPS by neighbour node connectivity prediction key predistribution technique to enhance probability of key share among nodes. The proposed algorithm is implemented and various simulations were done over different network scenario. The performance of the proposed scheme is discussed with the help of experimental results.

Key-Words / Index Term :
Wireless Sensor Network; Key Pre-distribution; CPKS; Connectivity; Resilience; Neighbourhood connectivity

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