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Your search keyword '"Singh, Jai Sukh Paul"' showing total 2 results
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2 results on '"Singh, Jai Sukh Paul"'

1. High yield novel QKD protocol and its comparative analysis using QISKIT.

Author

Kaur, Hardeer and Singh, Jai Sukh Paul

Subjects
*PUBLIC key cryptography, *ERROR rates, *COMPARATIVE studies, *DATA protection
Abstract

Quantum key distribution is the most secure and reliable way of generating key for public cryptography. Everyday engineers develop new protocols to ensure data protection. On the contrary, hackers also developed new ways to get into the systems. Quantum key distribution help users to send and receive data with infallible security. In this article, we present an introduction to BB84 & MKP16 protocols and list some of their shortcomings. Further, we try to find answers to these shortcomings with our High Yield Novel QKD (HYQKD) protocol. We wrote a QISKIT program to simulate HYQKD, BB84 & MKP16 protocols. We compared the novel QKD protocol with the existing BB84 & MKP16 protocols and compiled the results in terms of error rate and key length. With our comparison we concluded that BB84 protocol has the least Key rate and highest error rate, MKP16 has twice the key rate and half the error in comparison to BB84 and for novel QKD it depends upon the number of available channels and the number of Eve(s) attacking. [ABSTRACT FROM AUTHOR]

Published
2024
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2. Improved Location Estimation in Wireless Sensor Networks Using a Vector-Based Swarm Optimized Connected Dominating Set.

Author

Kumar, Gulshan, Saha, Rahul, Rai, Mritunjay Kumar, Thomas, Reji, Kim, Tai-Hoon, Lim, Se-Jung, and Singh, Jai Sukh Paul

Subjects
*WIRELESS sensor networks, *ALGORITHMS, *SAMPLING errors, *COMPUTER simulation, *WIRELESS sensor nodes, *PARTICLE swarm optimization
Abstract

Location estimation in wireless sensor networks (WSNs) has received tremendous attention in recent times. Improved technology and efficient algorithms systematically empower WSNs with precise location identification. However, while algorithms are efficient in improving the location estimation error, the factor of the network lifetime has not been researched thoroughly. In addition, algorithms are not optimized in balancing the load among nodes, which reduces the overall network lifetime. In this paper, we have proposed an algorithm that balances the load of computation for location estimation among the anchor nodes. We have used vector-based swarm optimization on the connected dominating set (CDS), consisting of anchor nodes for that purpose. In this algorithm, major tasks are performed by the base station with a minimum number of messages exchanged by anchor nodes and unknown nodes. The simulation results showed that the proposed algorithm significantly improves the network lifetime and reduces the location estimation error. Furthermore, the proposed optimized CDS is capable of providing a global optimum solution with a minimum number of iterations. [ABSTRACT FROM AUTHOR]

Published
2019
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