Energy-efficient active tag searching in large scale RFID systems

Zhang, Shigeng; Li, Xuan; Wang, Jianxin; Cao, Jiannong; Min, Geyong

doi:10.1016/j.ins.2015.04.048

Cited by 28 publications

(14 citation statements)

References 34 publications

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“…The third most growth topic was energy efficiency with 154 documents, and China and Italy as leading countries with 18 and 17 publications, respectively. Energy efficiency as an application for IoT is related in this data set with the following topics: smart buildings [128][129][130], energy harvesting [131][132][133], and RFID [134,135]. Social networks (or Social media) is another application for IoT, with 117 documents, and Italy as the leading country with 23 publications.…”

Section: Applicationsmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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Abstract:Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) in two main scientific databases (Clarivate Web of Science and Scopus). A Python script called ScientoPy was developed to perform quantitative analysis of this data set. This provides insight into research trends by investigating a lead author's country affiliation, most published authors, top research applications, communication protocols, software processing, hardware, operating systems, and trending topics. Furthermore, we evaluate the top trending IoT topics and the popular hardware and software platforms that are used to research these trends.

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Section: Applicationsmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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“…Network techniques [100][101][102][103][104] Resource Allocation techniques [105] Sleep/wake-up techniques [106] Resource Allocation techniques , [107][108][109] Resource Allocation techniques [110][111][112][113]…”

Section: Rfid Rfid Readers Rfid Active Tags Rfid Passive Tagsmentioning

confidence: 99%

Energy Efficiency in Short and Wide-Area IoT Technologies—A Survey

et al. 2021

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In the last years, the Internet of Things (IoT) has emerged as a key application context in the design and evolution of technologies in the transition toward a 5G ecosystem. More and more IoT technologies have entered the market and represent important enablers in the deployment of networks of interconnected devices. As network and spatial device densities grow, energy efficiency and consumption are becoming an important aspect in analyzing the performance and suitability of different technologies. In this framework, this survey presents an extensive review of IoT technologies, including both Low-Power Short-Area Networks (LPSANs) and Low-Power Wide-Area Networks (LPWANs), from the perspective of energy efficiency and power consumption. Existing consumption models and energy efficiency mechanisms are categorized, analyzed and discussed, in order to highlight the main trends proposed in literature and standards toward achieving energy-efficient IoT networks. Current limitations and open challenges are also discussed, aiming at highlighting new possible research directions.

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“…Prior works [3,11,12,19,23,24] on tag searching mainly focus on single group searching. Zheng et al initiate tag searching by proposing the CATS protocol [24].…”

Section: Related Workmentioning

confidence: 99%

“…Recently, Yu et al [19] propose a tree-based tag searching protocol TTS that improves time efficiency by batch verification of target tags. Zhang et al study tag searching in multiple reader systems from perspective of energy-efficiency [23]. Zhu.…”

Section: Related Workmentioning

confidence: 99%

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Zhang

Guo

et al. 2020

Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Netw

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Tag searching is a fundamental problem for a variety of radio frequency identification (RFID) applications. Prior works focus on single group searching, which refers to determining which ones in a given set of tags exist in the system. In this paper, we propose PTS, a protocol that can perform fast Parallel T ag Searching for multiple users simultaneously. Different from prior works that have to execute k times to search k groups separately, PTS obtains searching results for all the k groups with only one-shot execution. PTS achieves high parallelism due to some novel designs. First, we develop a grouping filter that encodes the membership of tags in different groups, with which non-target tags can be efficiently filtered out for all the k groups simultaneously. Second, we design two new codes, grouping code and mapping code, with which the remaining tags can quickly verify and confirm which group they belong to. We theoretically analyze how to set optimal parameters for PTS to minimize the execution time and conduct extensive simulation experiments to evaluate its performance. Compared with the state-of-the-art solutions, PTS significantly improves time efficiency in multiple group searching scenarios (by a factor of up to 7.54X when k = 10) and achieves the same time efficiency in single group searching scenarios. CCS CONCEPTS • Networks → Network protocol design.

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Energy-efficient active tag searching in large scale RFID systems

Cited by 28 publications

References 34 publications

Internet of Things: A Scientometric Review

Internet of Things: A Scientometric Review

Energy Efficiency in Short and Wide-Area IoT Technologies—A Survey

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