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Koushik Sinha

Researcher at Southern Illinois University Carbondale

Publications -  89
Citations -  763

Koushik Sinha is an academic researcher from Southern Illinois University Carbondale. The author has contributed to research in topics: Wireless sensor network & Wireless network. The author has an hindex of 14, co-authored 82 publications receiving 650 citations. Previous affiliations of Koushik Sinha include Honeywell & Hewlett-Packard.

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A survey on the channel assignment problem in wireless networks

TL;DR: This correspondence presents a discussion on the various challenges and approaches that have been used by different researchers to solve the problem of channel allocation taking into account different interference issues and efficient utilization of available communication channels for cellular mobile environment and cognitive radio based networks.
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High-Performance Hardware Implementation for RC4 Stream Cipher

TL;DR: This paper combines the ideas of hardware pipeline and loop unrolling to design an architecture that produces 2 RC4 keystream bytes per clock cycle, and proposes the fastest known architecture for the cipher.
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An efficient protocol for load-balanced multipath routing in mobile ad hoc networks

TL;DR: The proposed technique for distribution of packets along different routes is very elegant with a better performance than the existing load-balanced routing protocols like Fibonacci Multipath Load Balancing and Multiple AODV, as established from a theoretical analysis as well as through simulation results.
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An Energy-Efficient Communication Scheme for Wireless Networks: A Redundant Radix-Based Approach

TL;DR: Simulation results demonstrate that compared to binary FSK, the proposed implementation can extend the battery life of devices from about 33% to 62% on an average in applications like remote healthcare and wireless sensor networks for agriculture.
Posted ContentDOI

Emergence and Evolution of a Prevalent New SARS-CoV-2 Variant in the United States

TL;DR: A new variant of the SARS-CoV-2 virus that emerged in the United States (U.S.) early in the coronavirus disease (COVID-19) pandemic and has become one of the most prevalent U.S variants has been identified in this paper.