Scientific Publications
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Research Categories
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Computer Science & Engineering
Core computing paradigms, algorithm design, software architectures, advanced computing theory, and hardware engineering.
Computer Networks
Network architectures, wireless ad-hoc protocols, vehicular networks (VANET), buffering, and communications.
Electronics Department
Circuits, semiconductor devices, flexible electronics, solar array modeling, signal processing, and photonics.
Civil Engg
Structural analysis, thermal stability of fluid layers, environmental infrastructure, and applied materials engineering.
Recent Publications (4)
IMPROVE THE CONSERVATION OF ENERGY BY ADAPTIVE CLUSTERING LEACH PROTOCAOL FOR WSN
Today, in general Wireless Sensor Network (WSN) is a set of communicating sensors using wireless links. These sensors (node) are used to control an environment and transmit the captured data to the base stations. In WSN, each node serves as transmitter and router. The nodes in WSNs are usually powered by batteries with finite capacity and it is always impossible to replenish the power, and The failure of the energy sensor can significantly modify the topology of the network and impose an expensive reorganization of the network Energy conservation has a main priority in all technology and engineering field. Hence, the wireless sensor depends on its internal battery to work its total life time, extending the life time by minimizing the consumption of power is also very important field in current researches. This research aims to optimize the energy consumption of wide scale wireless sensor networks by deploying a novel and adaptive improvement and modification on the traditional clustering of the cells of the network. In this Dissertation we work on load balancing of each cell in the network, introduce the “Potential” concept which is a measurement of node and cells overall availability and it is related to energy, distance and data transfer, deal with the nodes in between two clusters and finally make all nodes die almost at the same time by using an adaptive system for solving these problems.
A Review on Wireless Device Networks
the purpose of this paper is to deliver summary of wireless device networks (WSNs). Wireless networks are comprised of spatially spread independent device nodes linked with each other for maintaining & detecting the environmental as well as physical states of the given application. The batteries of these device nodes are outfitted with limited energy to work as a source of energy. Hence, efficient energy utilization is a significant challenge in these types of networks, which are equipped with batteries having limited power storage capacities. This paper discussed the WSN with energy efficiency methods, its design challenges, Storage management & also the limitations of WSN. Here also discussed various research related to this field.
Adaptive Differential Evolution & Dijkstra Algorithm based Reduced Energy Consumption in Wireless Sensor Networks
In wireless sensor networks (WSNs), energy productivity conventions are used to recover energy preservation of framework & upgrade lifetime. transmission is finished by an organization of nodes rather than some physical mechanism for correspondence in WSN. conveyed nodes transmit information to sink or to the goal node. The nodes are assembled via better correspondence & this is known as a grouping. In clustering, adjacent nodes are arranged in perfect group & refer data to cluster head (CH) which totals data from different nodes & send it more to sink. Diverse clustering algo’s & strategies have been created for improvement of WSN. Popular customary methodology, focal node in system favored as CH & this node obliged for system transmission. This single node devours more energy instead of different nodes prompts dead node. Then again, it pursues straight course consequently the course is over-burden which devours more energy by decrease in lifetime of system. We suggested energy effective Adaptive Differential Evolution (ADE) algo based methodology with the idea of Grid-based Routing algo which improves general execution of remote sensor systems. The proposed methodology has better energy effectiveness as a contrast with Genetic algo since it is dynamic methodology not static, adjusted the heap & improvement makes progressively possibility of better bring about less no. of circles that are unrealistic in different procedures. The recreation aftereffect of the proposed methodology is done in MATLAB.
Design of Efficient Circuits of D-Latch Using MOSFET, Sleep Transistor and Stacked Invertor Based on 32nm CMOS Technology
In past few decades an unprecedented growth is experienced by electronics industry and the credit goes to the intelligent use integrated circuits in computation purpose,telecommunications and consumer electronics. When large number of transistors is used on a single chip, more power gets dissipated in the form of heat.Heat is a very important factor while designing any circuit. Heat is the main cause of driving low power design technologies.The one-bit digital storage element plays a fundamental role in digital signal processing circuitry. D-latch („data‟ latch) is the simplest in construction, Different designs of D-Latch have been designed using CMOS inverters, Transmission Gates, sleep transistors, Pass Transistors & GDI (Gate Diffusion Input) cell that can be operated at higher frequencies. All designs have been designed using 32nm UMC CMOS technology at 5GHz clock frequency. These designs are simulated in HSPICE tool for the successful function of the D-latch. It is being widely used in a complex optical communication system. Output changes when the clock signal is enabled. All the circuits have been designed in a 32 nm UMC CMOS technology to evaluate the efficiency of the proposed approach and experimental results show a correct behavior up to 5 GHz.