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Dive into the research topics where Swapna Dontharaju is active.

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Featured researches published by Swapna Dontharaju.


design automation conference | 2006

An automated, reconfigurable, low-power RFID tag

Raymond R. Hoare; Swapna Dontharaju; Shen Chih Tung; Ralph Sprang; Joshua Fazekas; James T. Cain; Marlin H. Mickle

This paper describes an ultra low power active RFID tag and its automated design flow. RFID primitives to be supported by the tag are enumerated with RFID macros and the behavior of each primitive is specified using ANSI-C within the template to automatically generate the tag controller. Two power saving components, a passive transceiver/burst switch and a smart buffer, are presented to save power and increase tag lifetime. Based on a test program, the processors required 183, 43, and 19 muJ per transaction for StrongARM, XScale, and EISC processors, respectively. Three hardware controllers using a Fusion FPGA, Coolrunner II CPLD, and ASIC required 13 nJ, 1.3 nJ, and 0.07 nJ per transaction


field-programmable custom computing machines | 2006

A Field Programmable RFID Tag and Associated Design Flow

Raymond R. Hoare; Swapna Dontharaju; Shen Chih Tung; Ralph Sprang; Joshua Fazekas; James T. Cain; Marlin H. Mickle

Current radio frequency identification (RFID) systems generally have long design times and low tolerance to changes in specification. This paper describes a field programmable, low-power active RFID tag, and its associated specification and automated design flow. RFID primitives to be supported by the tag are enumerated with RFID macros, or assembly-like descriptions of the tag operations. From these, the RFID preprocessor generates templates automatically. The behavior of each RFID primitive is specified using ANSI C in the template. The resulting file is compiled by the RFID compiler. A smart buffer sits between the transceiver and the tag controller, to detect whether incoming packets are intended for the tag. By doing so, the main controller may remain powered down to reduce power consumption. Two system-on-a-chip implementation strategies are presented. First, a microprocessor based system for which a C program is automatically generated. The second includes a block of low-power FPGA logic. The user supplied RFID logic in ANSI-C is automatically converted into combinational VHDL by the RFID compiler. Based on a test program, the processors required 183, 43, and 19 muJ per transaction for StrongARM, XScale, and EISC processors, respectively. By replacing the processor with a Coolrunner II, the controller can be reduced to 1.11 nJ per transaction


ACM Transactions on Design Automation of Electronic Systems | 2008

Radio frequency identification prototyping

Swapna Dontharaju; Shen Chih Tung; Leonid Mats; Peter J. Hawrylak; Raymond R. Hoare; James T. Cain; Marlin H. Mickle

While RFID is starting to become a ubiquitious technology, the variation between different RFID systems still remains high. This paper presents several prototyping environments for different components of radio frequency identification (RFID) tags to demonstrate how many of these components can be standardized for many different purposes. We include two active tag prototypes, one based on a microprocessor and the second based on custom hardware. To program these devices we present a design automation flow that allows RFID transactions to be described in terms of primitives with behavior written in ANSI C code. To save power with active RFID devices we describe a passive transceiver switch called the “burst switch” and demonstrate how this can be used in a system with a microprocessor or custom hardware controller. Finally, we present a full RFID system prototyping environment based on real-time spectrum analysis technology currently deployed at the University of Pittsburgh RFID Center of Excellence. Using our prototyping techniques we show how transactions from multiple standards can be combined and targeted to several microprocessors include the Microchip PIC, Intel StrongARM and XScale, and AD Chips EISC as well as several hardware targets including the Altera Apex, Actel Fusion, Xilinx Coolrunner II, Spartan 3 and Virtex 2, and cell-based ASICs.


microelectronics systems education | 2007

Exploring RFID Prototyping in the Virtual Laboratory

Swapna Dontharaju; Leonid Mats; James T. Cain; Marlin H. Mickle

This paper describes several RFID technology related course topics dealing with antenna design, protocol design, and implementation strategies accessed from a centralized system for students to access. By utilizing the central system, students from multiple universities can share a single piece of equipment and still learn about the underlying RFID technology. Additionally, by creating this interface system, the necessary features for RFID development can be made available to students and instructors need not learn every single detail of complicated equipment to effectively teach students to work with RFID technology


ACM Transactions on Design Automation of Electronic Systems | 2009

A design automation and power estimation flow for RFID systems

Swapna Dontharaju; Shen Chih Tung; James T. Cain; Leonid Mats; Marlin H. Mickle

While RFID has become a ubiquitous technology, there is still a need for RFID systems with different capabilities, protocols, and features depending on the application. This article describes a design automation flow and power estimation technique for fast implementation and design feedback of new RFID systems. Physical layer features are described using waveform features, which are used to automatically generate physical layer encoding and decoding hardware blocks. RFID primitives to be supported by the tag are enumerated with RFID macros and the behavior of each primitive is specified using ANSI-C within the template to automatically generate the tag controller. Case studies implementing widely used standards such as ISO 18000 Part 7 and ISO 18000 Part 6C using this automation technique are presented. The power macromodeling flow demonstrated here is shown to be within 5% to 10% accuracy, while providing results 100 times faster than traditional methods. When eliminating the need for certain features of ISO 18000 Part 6C, the design flow shows that the power required by the implementation is reduced by nearly 50%.


IEEE Communications Magazine | 2007

The unwinding of a protocol [Supplement, Applications & Practice]

Swapna Dontharaju; Shen Chih Tung; Leo Mats; Justin Panuski; James T. Cain; Marlin H. Mickle

The ISO 18000 Part 6C UHF standard is becoming a widely accepted standard in RFID applications in supply chain management and is driving development of passive tags. The communication primitives of ISO 18000 Part 6C are significantly different and more complex than ISO 18000 Part 7. The complexity of the Part 6C standard makes the design of these tags extremely time consuming and challenging for reducing power consumption and silicon area. This article examines various features of the ISO Part 6C standard and compares it to the ISO Part 7 standard for active tags for the purpose of evaluating generic interrogator/tag protocol complexity. For a 0.16 mm ASIC implementation, the Query command from ISO 18000 Part 6C is more complex than 10 primitives of the simpler ISO 18000 Part 7 standard


Microprocessors and Microsystems | 2007

An automated, FPGA-based reconfigurable, low-power RFID tag

Raymond R. Hoare; Swapna Dontharaju; Shen Chih Tung; Ralph Sprang; Joshua Fazekas; James T. Cain; Marlin H. Mickle


Archive | 2006

Method and software tool for automatic generation of software for integrated circuit processors

Marlin H. Mickle; James T. Cain; Swapna Dontharaju; Raymond R. Hoare


International Journal of Radio Frequency Identification Technology and Applications | 2006

Passive active radio frequency identification tags

Swapna Dontharaju; Shen Chih Tung; Peter J. Hawrylak; Leonid Mats; Raymond R. Hoare; James T. Cain; Marlin H. Mickle


Archive | 2008

Layers of Security for Active RFID Tags

James T. Cain; Shen Chih Tung; Swapna Dontharaju; Peter J. Hawrylak; Marlin H. Mickle; Leonid Mats

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James T. Cain

University of Pittsburgh

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Shen Chih Tung

University of Pittsburgh

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Leonid Mats

University of Pittsburgh

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Joshua Fazekas

University of Pittsburgh

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Ralph Sprang

University of Pittsburgh

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Justin Panuski

University of Pittsburgh

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