Koushik Sinha
Southern Illinois University Carbondale
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Publication
Featured researches published by Koushik Sinha.
IEEE Transactions on Computers | 2013
Sourav Sen Gupta; Anupam Chattopadhyay; Koushik Sinha; Subhamoy Maitra; Bhabani P. Sinha
RC4 is the most popular stream cipher in the domain of cryptology. In this paper, we present a systematic study of the hardware implementation of RC4, and propose the fastest known architecture for the cipher. We combine the ideas of hardware pipeline and loop unrolling to design an architecture that produces 2 RC4 keystream bytes per clock cycle. We have optimized and implemented our proposed design using VHDL description, synthesized with 130, 90, and 65 nm fabrication technologies at clock frequencies 625 MHz, 1.37 GHz, and 1.92 GHz, respectively, to obtain a final RC4 keystream throughput of 10, 21.92, and 30.72 Gbps in the respective technologies.
communications and mobile computing | 2011
Goutam K. Audhya; Koushik Sinha; Sasthi C. Ghosh; Bhabani P. Sinha
Efficient allocation of channels for wireless communication in different network scenarios has become an extremely important topic of recent research. The main challenge lies in the fact that the channel allocation problem is NP-complete. Because of a maximum allowable time limit imposed in practical situations for allocation of channels, sometimes we may need to be satisfied with a near-optimal solution. In this correspondence, we present 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 (including multimedia communication) environment and cognitive radio based networks. Copyright
IEEE Transactions on Wireless Communications | 2011
Koushik Sinha; Bhabani P. Sinha; Debasish Datta
We propose a redundant radix based number (RBN) representation for encoding and transmitting data for applications which typically utilize low cost devices and demand low power operations with simple modulation techniques like ASK, OOK and FSK. Coupled with silent periods for communicating the digit zero, this encoded communication scheme, called as RBNSiZeComm, provides a highly energy-efficient technique for data transmission. Considering an n-bit data representation and assuming that each of the 2n binary strings is equally likely to occur, theoretically obtainable fraction of energy savings by using our proposed RBNSiZeComm transmission protocol is, on an average, 1 - n+2/4n. A hybrid modulation scheme using FSK and ASK with non-coherent detection based receiver for the RBNSiZeComm protocol has been presented. Assuming equal likelihood of all possible binary strings of a given length, there is nearly 53% savings in energy on an average at the transmitter relative to binary FSK, over additive white gaussian noise (AWGN) channels. Simulation results demonstrate that compared to binary FSK, our 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.
IEEE Transactions on Mobile Computing | 2013
Goutam K. Audhya; Koushik Sinha; Kalikinkar Mandal; Rana Dattagupta; Sasthi C. Ghosh; Bhabani P. Sinha
This paper presents a novel method for solving channel assignment problems (CAPs) in hexagonal cellular networks with nonhomogeneous demands in a 2-band buffering system (where channel interference does not extend beyond two cells). The CAP with nonhomogeneous demand is first partitioned into a sequence of smaller subproblems, each of which has a homogeneous demand from a subset of the nodes of the original network. Solution to such a subproblem constitutes an assignment phase, where multiple homogeneous demands are assigned to the nodes corresponding to the subproblem, satisfying all the frequency separation constraints. The whole assignment process for the original network consists of a succession of multiple homogeneous assignments for all the subproblems. Based on this concept, we present a polynomial time approximation algorithm for solving the CAP for cellular networks having nonhomogeneous demands. Our proposed assignment algorithm, when executed on well-known benchmark instances, comes up with an assignment which is always within about 6 percent more than the optimal bandwidth, but requires a very small execution time (less than 5 millisecond on a HPxw8400 workstation). The proposed algorithm is very much suitable for real-life situations, where fast channel assignment is of primary importance, tolerating, however, a marginal deviation (6 percent) from the optimal bandwidth.
fundamentals of computation theory | 2009
Subhas Kumar Ghosh; Koushik Sinha
A greedy embedding of a graph
international performance computing and communications conference | 2008
Rabindranath Ghosh; Koushik Sinha; Debasish Datta; Bhabani P. Sinha
G = (V,E)
communication systems and networks | 2011
Ansuman Bhattacharya; Rabindranath Ghosh; Koushik Sinha; Bhabani P. Sinha
into a metric space
Journal of Parallel and Distributed Computing | 2008
Koushik Sinha; Suranjan Ghose; Pradip K. Srimani
(X,d)
international conference on computing theory and applications | 2007
Koushik Sinha; Atish Datta Chowdhury
is a function
international conference on cryptology in india | 2010
Sourav Sen Gupta; Koushik Sinha; Subhamoy Maitra; Bhabani P. Sinha
x : V(G) \to X