Energy efficient compressive sensing with predictive model for IoT based medical data transmission-Reference-Cited by-同舟云学术

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Energy efficient compressive sensing with predictive model for IoT based medical data transmission

Published:2020-11-18 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Bharathi R.,Abirami T.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-020-02670-z.pdf

Reference24 articles.

1. Alieksieiev V (2018) One approach of approximation for incoming data stream in iot based monitoring system. In: 2018 IEEE Second International Conference on Data Stream Mining Processing (DSMP), pp 94–97, https://doi.org/10.1109/DSMP.2018.8478466

2. Anastasi G, Conti M, Francesco MD, Passarella A (2009) Energy conservation in wireless sensor networks: a survey. Ad Hoc Netw 7:537–568

3. Azar J, Makhoul A, Darazi R, Demerjian J, Couturier R (2018) On the performance of resource-aware compression techniques for vital signs data in wireless body sensor networks. In: 2018 IEEE Middle East and North Africa Communications Conference (MENACOMM), pp 1–6. https://doi.org/10.1109/MENACOMM.2018.8371032

4. Azar J, Darazi R, Habib C, Makhoul A, Demerjian J (2018) Using DWT lifting scheme for lossless data compression in wireless body sensor networks. In: 2018 14th International Wireless Communications Mobile Computing Conference (IWCMC), pp 1465–1470. https://doi.org/10.1109/IWCMC.2018.8450459

5. Cheng L, Guo S, Wang Y, Yang Y (2016) Lifting wavelet compression based data aggregation in big data wireless sensor networks. In: 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), pp 561–568. https://doi.org/10.1109/ICPADS.2016.0080

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