Scalable Key Management System for Wireless Sensor Networks

Authors

  • C. Koteeswaran
  • G.V. Ramesh Babu
  • M. Padmavathamma

Abstract

Abstract
This paper is about the sympathy of the probable wireless sensor networks (WSN) application; moreover because of source margins, key supervision arrangement emerges as a demanding concern for WSNs. Individual of the foremost concern when manipulating a key supervision system method, is the network scalability. Certainly, the code of behaviour must sustain a large quantity of nodes to allow a bulky scale exploitation of the network. In this paper, we suggest a novel scalable key management system for WSNs which provides superior safe connectivity exposure. Intended for this purpose, we build use of the unitals intend theory. We demonstrate that the essential mapping commencing unitals to enter pre-distribution allow us to attain high network scalability. However, this immature mapping does not assure a high key contribution probability. Hence, we propose a superior unitals based key pre-distribution system which provides elevated network scalability as well as superior key contribution probability, lower enclosed by about 1−e 0.632. We carry out in exact analysis and simulation which also contrasts our explanation to those of existing methods intended for different criterion such as cargo space overhead, network scalability, network connectivity, typical protected pathway length and network resiliency. Our results confirm that the proposed approach enhances the system scalability provided that there is high secure connectivity exposure and in general, enhanced performance. Furthermore, intended for an equal network size, our key reduces the storage space overhead extensively as compared to those of existing solutions.

Keywords: Wireless antenna network, protection, input supervision, system scalability, protected connectivity coverage

Cite this Article

Koteeswaran C, Ramesh Babu GV, Padmavathamma M. Scalable Key Management System for Wireless Sensor Networks. Journal of Computer Technology & Applications. 2016; 7(2): 36–46p.

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Published

2019-07-16

Issue

Vol. 7 No. 2 (2016)

Section

Articles

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