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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]G. Rouhafzay, A. Cretu, "Object Recognition From Haptic Glance at Visually Salient Locations", IEEE Trans. Instrum. Meas., vol. 69 (3), IEEE, USA, Mar. 2020, pp. (672 - 682), ISSN 0018-9456, DOI: 10.1109/TIM.2019.2905906. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 7]C. Clayes, E. Simoen, "Device Performance as a Metrology Tool to Detect Metals in Silicon", Phys. Status Solidi A-Appl. Mat., vol. 216 (17), Wiley, USA, Sep. 2019, pp. (1 - 10), ISSN 1862-6300, DOI: 10.1002/pssa.201900126. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 6]J. M. Gandarias, A. J. Garda-Cerezo, J. M. Gomez-de-Gabriel, "CNN-Based Methods for Object Recognition With High-Resolution Tactile Sensors", IEEE Sens. J, vol. 19 (16), IEEE, USA, Aug. 2019, pp. (6872 - 6882), ISSN 1530-437X, DOI: 10.1109/JSEN.2019.2912968. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 5]T. Harde, M. Freier, G. von der Brueggen, J. Chen, "Configurations and Optimizations of TDMA Schedules for Periodic Packet Communication on Networks on Chip", in Proc. Int. C Real-Time Net. Syst., 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]G. Rouhafzay, A. Cretu, "A Virtual Tactile Sensor with Adjustable Precision and Size for Object Recognition", in Proc. Int. C Comput. Intel. Virt. Environ. Meas. Syst. Applic., 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]J. M. Gandarias, J. M. Gomez-de-Gabriel, A. Garda-Cerezo, "Human and Object Recognition with a High-Resolution Tactile Sensor", in Proc. IEEE Sens. C, IEEE SENSORS 2017, vol. 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]N. Pedneault, A. Cretu, "3D Object Recognition from Tactile Data Acquired at Salient Points", in Proc. Int. S Robot. Interact., IRIS 2017, vol. 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]J. Ignacio Vega-Luna, M. Alberto Lagos-Acosta, G. Salgado-Guzman, "Carbon Monoxide Concentration Monitoring Using Long-Rang Technology", lngenius (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].