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Citations Report
 
 
Cited Paper
[Conf 1]General Slot Stealing TDMA Scheme to Improve the Low Channel Utilization Factor
Author(s): Stangaciu, Valentin; Micea, Mihai Victor; Cretu, Vladimir Ioan; Groza, Voicu
In: Proceedings of the IEEE International Symposium on Intelligent Signal Processing, WISP 2015
Editor(s): Varkonyi-Koczy, Annamaria R.; Rocchi, Santina; Watada, Junzo
Publisher: IEEE
Siena, Italy, 15-17 May. 2015
Pages: 1 - 4, CD-ROM support, ISBN 978-1-4799-7252-4, DOI: 10.1109/WISP.2015.7139151
Indexed: ISI Web of Science, Thomson Reuters (WOS: 000380574300001)
 [+] Keywords | [+] Abstract | Cover picture | Proceedings info | IEEE Index Record (Inspec) | Preprint version
TDMA; Slot-stealing; Real-time; Wired sensor network; Wireless sensor network
Time division multiple access (TDMA) schemes are intensively being the main solution to provide predictability and timeliness in data communication systems requiring real-time operation. In this paper we investigate the problem of low efficiency and channel utilization, common to the TDMA algorithms. As a solution, we propose a general slot stealing version of TDMA, able to significantly increase the channel utilization factor, while preserving the required level of predictability, both in wired and in wireless real-time networks.
8 Citations in total (with a cummulated IF: 8.848)
 
 
Citing papers
[Jrnl 8]
Jrnl
Ghazal Rouhafzay, Ana-Maria Cretu, "Object Recognition From Haptic Glance at Visually Salient Locations", IEEE Transactions on Instrumentation and Measurement, volume 69, issue 3, IEEE, USA, Mar., 2020, pp. (672 - 682), ISSN 0018-9456, DOI: 10.1109/TIM.2019.2905906. [Indexed: ISI Web of Science, Clarivate Analytics]. [IF: 4.016].
[Jrnl 7]
Jrnl
Cor Clayes, Eddy Simoen, "Device Performance as a Metrology Tool to Detect Metals in Silicon", Physica Status Solidi A - Applications and Materials Science, volume 216, issue 17, Wiley, USA, Sep., 2019, pp. (1 - 10), ISSN 1862-6300, DOI: 10.1002/pssa.201900126. [Indexed: ISI Web of Science, Thomson Reuters]. [IF: 1.759].
[Jrnl 6]
Jrnl
Juan M. Gandarias, Alfonso J. Garda-Cerezo, Jesus M. Gomez-de-Gabriel, "CNN-Based Methods for Object Recognition With High-Resolution Tactile Sensors", IEEE Sensors Journal, volume 19, issue 16, IEEE, USA, Aug., 2019, pp. (6872 - 6882), ISSN 1530-437X, DOI: 10.1109/JSEN.2019.2912968. [Indexed: ISI Web of Science, Thomson Reuters]. [IF: 3.073].
[Conf 5]
Conf
Tim Harde, Matthias Freier, Georg von der Brueggen, Jian-Jia Chen, "Configurations and Optimizations of TDMA Schedules for Periodic Packet Communication on Networks on Chip", in Proceedings of the International Conference on Real-Time Networks and Systems, RTNS 2018, ACM, Poitiers, France, 10-12 Oct., 2018, pp. (1 - 11), ISBN 978-1-4503-6463-8, DOI: 10.1145/3273905.3273928. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 4]
Conf
Ghazal Rouhafzay, Ana-Maria Cretu, "A Virtual Tactile Sensor with Adjustable Precision and Size for Object Recognition", in Proceedings of the International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2018, IEEE, Ottawa, Canada, 12-13 Jun., 2018, pp. (1 - 6), ISBN 978-1-5386-4618-2, ISSN 2377-9314. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 3]
Conf
Juan M. Gandarias, Jesus M. Gomez-de-Gabriel, Alfonso Garda-Cerezo, "Human and Object Recognition with a High-Resolution Tactile Sensor", in Proceedings of the IEEE Sensors Conference, IEEE SENSORS 2017, volume 16, IEEE, Glasgow, UK, 29 Oct. - 01 Nov., 2017, pp. (981 - 983), ISBN 978-1-5090-1012-7, ISSN 1930-0395. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 2]
Conf
Nicolas Pedneault, Ana-Maria Cretu, "3D Object Recognition from Tactile Data Acquired at Salient Points", in Proceedings of the International Symposium on Robotics and Intelligent Sensors, IRIS 2017, volume 5, IEEE, Ottawa, Canada, 05-07 Oct., 2017, pp. (150 - 155), ISBN 978-1-5386-1342-9. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 1]
Jrnl
Jose Ignacio Vega-Luna, Mario Alberto Lagos-Acosta, Gerardo Salgado-Guzman, "Carbon Monoxide Concentration Monitoring Using Long-Rang Technology", Ingenius - Revista de Ciencia y Tecnologia, issue 18, Salesian Polytecnlc Univ., Cuenca, Ecuador, Jul., 2017, pp. (73 - 83), ISSN 1390-6SOX, DOI: 10.17163/ings.n18.2017.09. [Indexed: ISI Web of Science, Thomson Reuters].