Managing RFID Sensors Networks with a General Purpose RFID Middleware

Abad, Ismael; Cerrada, Carlos; Cerrada, J.A.; Heradio, Rubén; Valero, Enrique

doi:10.3390/s120607719

Cited by 20 publications

(15 citation statements)

References 14 publications

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“…RFID technology has advanced to signify over the past few decades. Rapid advances in microelectronic transceivers have reduced the size and costs of HF and UHF RFID infrastructure, permitting the longer reading ranges and faster reading rates than ever before [10,11]. Thus, UHF RFID technology is the core solution to our system.…”

Section: The Rfid Management Systemmentioning

confidence: 99%

Performance Evaluation of UHF RFID Technologies for Real-Time Bus Recognition in the Taipei Bus Station

Own

Lee

Wang

et al. 2013

Sensors

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Transport stations such as airports, ports, and railways have adopted blocked-type pathway management to process and control travel systems in a one-directional manner. However, this excludes highway transportation where large buses have great variability and mobility; thus, an instant influx of numerous buses increases risks and complicates station management. Focusing on Taipei Bus Station, this study employed RFID technology to develop a system platform integrated with modern information technology that has numerous characteristics. This modern information technology comprised the following systems: ultra-high frequency (UHF) radio-frequency identification (RFID), ultrasound and license number identification, and backstage graphic controls. In conclusion, the system enabled management, bus companies, and passengers to experience the national bus station's new generation technology, which provides diverse information and synchronization functions. Furthermore, this technology reached a new milestone in the energy-saving and efficiency-increasing performance of Taiwan's buses.

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Section: The Rfid Management Systemmentioning

confidence: 99%

Performance Evaluation of UHF RFID Technologies for Real-Time Bus Recognition in the Taipei Bus Station

Own

Lee

Wang

et al. 2013

Sensors

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“…Galton effect with EPS and the is 125.89%, and the maximum overload rate appears in I5 with 5 = 154.46%, and the maximum under-load over rate is around 98%, which means most resource of node have not been utilized sufficiently. It can be seen that the utilization ratio is improved after scheduling by the proposed strategy, in which have dropped close to 40%, more than 4 times reduction, and maximum overload rate is only 28% and highest under-load ratio is just around 50%.…”

Section: Testmentioning

confidence: 99%

“…RFID-sensor network refers to a specific type of RFID network is comprised by a set of networked nodes with RFID as transponders and receivers with specific sensor [5]- [7]. Mostly, this type of RFID-sensing network is applied with many local subsystems embedded with tiny transponders and supports time-based one-way communication.…”

Section: Imentioning

confidence: 99%

A Self-Adaptive Data Balance Protocol For Distributed Radio Frequency Identification Sensor Network

Liew¹,

Shaw²,

Zhang³

2014

International Journal on Smart Sensing and Intelligent Systems

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Abstract-In this paper, we share our recent work related to Radio Frequency Identification (RFID) sensor network with readers. The work mainly focus on the protocol for network system to perform the task of autonomous decentralized data distribution with consideration of economic and low-power RFID-sensor module scheme. We analyzed data pitfall in distributed RFID-sensor network, revealing the reason lies in the phenomenon. A distributed solution to tackle the problem has been designed in a simple way. The test results show that the system with proposed approach provides an efficient and more balanced in data distribution which proves the protocol is feasible for the application scenario.Index terms: RFID Sensor network, equal probability scheduling, stochastic switching, Galton effect.

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“…When designing an RFID middleware solution, the following issues need to be considered [1,2]. access different kinds of hardware by one or more vendors.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, the object naming service (ONS) sends other tag requests to EPCIS [1]. The RFID middleware also has several fundamental functions, including data filtering, counting and aggregation of tag data, and handling the huge quantity of data generated by the RFID system [1,2]. When facing a huge amount of data, load balance among different middleware (their hosts) is very important to keep high performance and reliability of the system [3].…”

Section: Introductionmentioning

confidence: 99%

An Approach to Design and Implement RFID Middleware System over Cloud Computing

Tian

Xue

Dong

et al. 2013

International Journal of Distributed Sensor Networks

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With the development of Internet of things, the number of radio frequency identification (RFID) network readers and tags increases very fast. Large-scale application of RFID networks requires that RFID middleware system can process a large amount of data efficiently, with load-balancing, efficient redundant data elimination, and Web service capabilities so that required information can be transmitted to applications with low overhead and transparency. In view of these objectives and taking especially advantages of virtualization and transparency of Cloud computing, this paper introduces an advanced RFID middleware management system (ARMMS) over Cloud computing, which provides equipment management, RFID tag information management, application level event (ALE) management, and Web service APIs and related functions. ARMMS has different focuses than existing RFID middleware in distributed design, data filtering, integrated load balance, and Web service APIs and designs all these over Cloud. The distributed architecture can support large-scale applications, integrated load-balancing strategy guarantees stability and high performance of the system, and layered and parallel redundancy data elimination scheme makes sure that needed information is transmitted to application level with low overhead; Web service APIs support cross-platform information processing with transparency to lower level RFID hardware.

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Managing RFID Sensors Networks with a General Purpose RFID Middleware

Cited by 20 publications

References 14 publications

Performance Evaluation of UHF RFID Technologies for Real-Time Bus Recognition in the Taipei Bus Station

Performance Evaluation of UHF RFID Technologies for Real-Time Bus Recognition in the Taipei Bus Station

A Self-Adaptive Data Balance Protocol For Distributed Radio Frequency Identification Sensor Network

An Approach to Design and Implement RFID Middleware System over Cloud Computing

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