Implementation of an Asynchronous Low-Power Small-Area Passive Radio Frequency Identification Design Using Synchronous Tools for Automation Applications

Sai, Vyasa; Ogirala, Ajay; Mickle, Marlin H.

doi:10.1166/jolpe.2012.1211

Cited by 3 publications

(2 citation statements)

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“…Radio frequency identification technology is the main force of passive sensing equipment . The proposed ambient backscatter in SIGCOMM 2013 obtains energy from existing wireless signals in the environment to communicate, whereas the traditional reflection communication acquires energy by sending fixed carrier waves from the reader.…”

Section: Related Workmentioning

confidence: 99%

Square partition‐based node scheduling algorithm for wireless passive sensor networks

Chen

Liu

Cheng

2018

Int J Communication

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Wireless passive sensor networks play an important role in solving the energy limitation of nodes in the Internet of Things, and node scheduling is a significant method used to improve the energy utilization of nodes. In this work, an unused energy model based on analyzing the energy consumption characteristics of passive nodes is proposed because no unified model of passive sensor nodes is reported in previous studies. A rapid square partition clustering method is proposed according to the analysis of the relation between the sensing and communication radii of nodes, and the secondary grouping and node scheduling in each cluster are implemented to ensure the coverage rate of networks. Experimental results show that the state distribution of nodes in the proposed algorithm is favorable. The performance of the proposed algorithm is significantly affected by the P ratio between the working and charging powers of nodes. When the value of P is less than 100, the network coverage and connectivity rate are maintained at more than 95% and 90%, respectively, and are both higher than the existing algorithm.

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Section: Related Workmentioning

confidence: 99%

Square partition‐based node scheduling algorithm for wireless passive sensor networks

Chen

Liu

Cheng

2018

Int J Communication

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“…The associated digital processor does not support any arbitrary computation and typically reports sensed data in addition to the RFID tag functionality. There has been a lot of research work with regard to reducing the power consumption of such nodes (Man et al, 2007;Yang et al, 2010;Sai et al, 2012aSai et al, , 2012cSai et al, , 2010dSai et al, , 2012e, 2010. Wireless identification and sensing platform (WISP) is a battery-free sensing and computation platform that uses a low power full programmable microcontroller that enhances the functionality of the RFID tag-based sensing (Joshua et al, 2006;Alanson et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Low power 8051-MISA-based remote execution unit architecture for IoT and RFID applications

Sai

Mickle

2013

IJCAD

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Abstract:Using the existing microcontrollers in radio frequency identification (RFID)-based passive nodes requires too much power. There is a need to explore specific instruction sets of such microcontrollers based on target applications for low power. In this context, this paper describes a low-power wireless distributed single instruction multiple data (SIMD) architecture concept. This concept involves having the data and program instructions stored on a powered interrogator providing wireless supervisory control for the passive node that has a basic processing core called the remote execution unit (REU). This paper also proposes a novel REU architecture using a minimal instruction set architecture (MISA) based on 8051 µC with the goal of reducing power consumption of a wireless passive node. Post-layout simulation results indicate significant reduction in power consumption and the area occupied by REU when compared to an existing 8051 core design. This low-power programmable REU architecture targets internet of things (IoT) and passive RFID applications.

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Exploring Energy Efficient Architectures in Passive Wireless Nodes for IoT Applications

Sai

Mickle

2014

IEEE Circuits Syst. Mag.

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Implementation of an Asynchronous Low-Power Small-Area Passive Radio Frequency Identification Design Using Synchronous Tools for Automation Applications

Cited by 3 publications

References 0 publications

Square partition‐based node scheduling algorithm for wireless passive sensor networks

Square partition‐based node scheduling algorithm for wireless passive sensor networks

Low power 8051-MISA-based remote execution unit architecture for IoT and RFID applications

Exploring Energy Efficient Architectures in Passive Wireless Nodes for IoT Applications

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