7,722 research outputs found
Major: Electronics and Communication Engineering
Today, information technology is strategically important to the goals and aspirations of the business enterprises, government and high-level education institutions – university.
Universities are facing new challenges with the emerging global economy characterized by the importance of providing faster communication services and improving the productivity and effectiveness of individuals. New challenges such as provides an information network that supports the demands and diversification of university issues. A new network architecture, which is a set of design principles for build a network, is one of the pillar bases. It is the cornerstone that enables the university’s faculty, researchers, students, administrators, and staff to discover, learn, reach out, and serve society.
This thesis focuses on the network architecture definitions and fundamental components. Three most important characteristics of high-quality architecture are that: it’s open network architecture; it’s service-oriented characteristics and is an IP network based on packets. There are four important components in the architecture, which are: Services and Network Management, Network Control, Core Switching and Edge Access.
The theoretical contribution of this study is a reference model Architecture of University Campus Network that can be followed or adapted to build a robust yet flexible network that respond next generation requirements. The results found are relevant to provide an important complete reference guide to the process of building campus network which nowadays play a very important role. Respectively, the research gives university networks a structured modular model that is reliable, robust and can easily grow
Department of Electronics and Communication Engineering, Government College of Engineering, Bargur, Tamilnadu, India
Recently, wireless network technologies were designed for most of the applications. Congestion raised in the wireless network degrades the performance and reduces the throughput. Congestion-free network is quit essen- tial in the transport layer to prevent performance degradation in a wireless network. Game theory is a branch of applied mathematics and applied sciences that used in wireless network, political science, biology, computer science, philosophy and economics. e great challenges of wireless network are their congestion by various factors. E ective congestion-free alternate path routing is pretty essential to increase network performance. Stackelberg game theory model is currently employed as an e ective tool to design and formulate conges- tion issues in wireless networks. is work uses a Stackelberg game to design alternate path model to avoid congestion. In this game, leaders and followers are selected to select an alternate routing path. e correlated equilibrium is used in Stackelberg game for making better decision between non-cooperation and cooperation. Congestion was continuously monitored to increase the throughput in the network. Simulation results show that the proposed scheme could extensively improve the network performance by reducing congestion with the help of Stackelberg game and thereby enhance throughput
Low Power Reversible Parallel Binary Adder/Subtractor
In recent years, Reversible Logic is becoming more and more prominent
technology having its applications in Low Power CMOS, Quantum Computing,
Nanotechnology, and Optical Computing. Reversibility plays an important role
when energy efficient computations are considered. In this paper, Reversible
eight-bit Parallel Binary Adder/Subtractor with Design I, Design II and Design
III are proposed. In all the three design approaches, the full Adder and
Subtractors are realized in a single unit as compared to only full Subtractor
in the existing design. The performance analysis is verified using number
reversible gates, Garbage input/outputs and Quantum Cost. It is observed that
Reversible eight-bit Parallel Binary Adder/Subtractor with Design III is
efficient compared to Design I, Design II and existing design.Comment: 12 pages,VLSICS Journa
Determination of RF source power in WPSN using modulated backscattering
A wireless sensor network (WSN) is a wireless network consisting of spatially
distributed autonomous devices using sensors to cooperatively monitor physical
or environmental conditions, such as temperature, sound, vibration, pressure,
motion or pollutants, at different locations. During RF transmission energy
consumed by critically energy-constrained sensor nodes in a WSN is related to
the life time system, but the life time of the system is inversely proportional
to the energy consumed by sensor nodes. In that regard, modulated
backscattering (MB) is a promising design choice, in which sensor nodes send
their data just by switching their antenna impedance and reflecting the
incident signal coming from an RF source. Hence wireless passive sensor
networks (WPSN) designed to operate using MB do not have the lifetime
constraints. In this we are going to investigate the system analytically. To
obtain interference-free communication connectivity with the WPSN nodes number
of RF sources is determined and analyzed in terms of output power and the
transmission frequency of RF sources, network size, RF source and WPSN node
characteristics. The results of this paper reveal that communication coverage
and RF Source Power can be practically maintained in WPSN through careful
selection of design parametersComment: 10 pages; International Journal on Soft Computing (IJSC) Vol.3, No.1
(2012). arXiv admin note: text overlap with arXiv:1001.5339 by other author
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