| Peer-Reviewed

A Brief Summary of Pervasive Computing System’s Main Structure

Received: 15 February 2017     Accepted: 27 March 2017     Published: 17 April 2017
Views:       Downloads:
Abstract

Recently, the people have many technological opportunities to reach data. Nowadays, many products and new technologies are put on the markets at every hour. Today, in addition to produce new devices and technologies, the researchers should provide these devices to cooperate with each other at the most. And also, these devices and technologies should present an anywhere and anytime intelligence which is proposed with pervasive computing for users, lately. Here, the user is covered with an intelligence provided by miscellaneous technologies and technological products at no matter where.

Published in Machine Learning Research (Volume 2, Issue 3)
DOI 10.11648/j.mlr.20170203.15
Page(s) 110-112
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Pervasive Computing, Healthcare System, Ubiquitous Computing, Wireless Networks

References
[1] Zaharakis, I. D., Komninos, A., Ubiquitous Computing – a Multidisciplinary Endeavour, IEEE Latın Amerıca Transactıons, 10, 2012.
[2] Raychoudhury, V., Cao, J., Kumar, M., Zhang, D., Middleware for pervasive computing: A survey, Pervasive and Mobile Computing, Vol. 9 No. 2, pp. 177-200, 2013.
[3] Obaidat, M. S., Denko, M., Woungang, I., Pervasıve Computıng and Networkıng, John Wiley & Sons Ltd, ePDF ISBN: 9781119970439, 2011.
[4] Kashihara, S., Tsukamoto, K., Oie, Y., Servıce-Orıented Mobılıty Management Archıtecture For Seamless Handover In Ubıquıtous Networks, IEEE Wireless Communications. 1536-1284, 2007.
[5] Ararez, L., Chaouchi, H., Gurkas, Z., Performance Evaluation and Experiments for Host Identity Protocol. International Journal of Computer Science, 8, 74-83, 2011.
[6] Amundson, I., Koutsoukos, X. D., A Survey on Localization for Mobile WirelessSensor Networks. MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments 2009, 235-254.
[7] Roxin, A., Gaber, J., Wack, M., Nait-Sidi-Moh, A Survey of Wireless Geolocation Techniques. IEEE Globecom Workshops 2007, 1-9.
[8] Yu, G. J., Wang, S. C., A. Hierarchical MDS-based Localization Algorithm for Wireless Sensor Networks. Advanced Information Networking and Applications 2008, 748-754.
[9] Kirci, P., Chaouchi, H., Laouiti, A., Cluster-Based Protocol Structures in WSNs. IWSSIP 2014, 21 st International Conference on Systems, Signals and Image Processing, 12-15 May 2014, Dubrovnik, Croatia.
[10] Xu, X., He, G., Zhang, S., Chen, Y., Xu, S., On Functionality Separation for Green Mobile Networks: Concept Study over LTE. IEEE Communications Magazine. 0163, 82-90, 2013.
[11] Sani, A., Rajab, M., Foster, R., Hao, Y., Antennas and Propagation of Implanted RFIDs for Pervasive Healthcare Applications. Proceedings of the IEEE. 98, 1648-1655, 2010.
[12] Banerjee, D., Biswas, S., Daigle, C., Siegford, J. M., Remote activity classification of hens using wireless body mounted sensors, The 9th International Conference on Wearable and Implantable Body Sensor Networks. IEEE Computer Society 2012, 107-112.
[13] Kirci, P., Kurt, G., Omercikoglu, M. A. Y., Remote Monitoring of Heart Pulses with Smart Phone, CIE44&IMSS14 Proceedings, 14-16 October 2014, Istanbul-Turkey.
[14] Liang, X., Zhang, K., Shen, X., Lin, X., Security And Privacy In Mobile Social Networks: Challenges And Solutions, IEEE Wireless Communications 2014, 1536- 1284, pp.33-41, 2014.
[15] Zdravković, M., Noran, O., & Trajanović, M. Interoperability as a Property of Ubiquitous Healthcare Systems. IFAC Proceedings Volumes, 47(3), 7849-7854, 2014.
[16] Salim, F., & Haque, U. Urban computing in the wild: A survey on large scale participation and citizen engagement with ubiquitous computing, cyber physical systems, and Internet of Things. International Journal of Human-Computer Studies, 81, 31–48, 2015.
[17] Li, X., Qian, Z., You, I., & Lu, S. Towards cost efficient mobile service and information management in ubiquitous environment with cloud resource scheduling. International Journal of Information Management, 34 (3), 319–328, 2014.
[18] Iivari, A., & Ronkainen, J. Building a Simulation-in-the-loop Sensor Data Testbed for Cloudenabled Pervasive Applications. Procedia Computer Science, 56, 357-362, 2015.
[19] Schoofs, A., Daymand, C., Sugar, R., Mueller, U., Lachenman, A., Kamran, S. M., Schuster, M. IP-based testbed for herd monitoring. International Conference on Information Processing in Sensor Networks, 2009 (IPSN 2009).
[20] Khattak, A. M., Pervez, Z., Ho, K. K., Lee, S., & Young-Koo Lee, Y. K. Intelligent Manipulation of Human Activities using Cloud Computing for u-Life Care. 10th IEEE/IPSJ Annual International Symposium on Applications and the Internet. 2010.
Cite This Article
  • APA Style

    Pınar Kirci. (2017). A Brief Summary of Pervasive Computing System’s Main Structure. Machine Learning Research, 2(3), 110-112. https://doi.org/10.11648/j.mlr.20170203.15

    Copy | Download

    ACS Style

    Pınar Kirci. A Brief Summary of Pervasive Computing System’s Main Structure. Mach. Learn. Res. 2017, 2(3), 110-112. doi: 10.11648/j.mlr.20170203.15

    Copy | Download

    AMA Style

    Pınar Kirci. A Brief Summary of Pervasive Computing System’s Main Structure. Mach Learn Res. 2017;2(3):110-112. doi: 10.11648/j.mlr.20170203.15

    Copy | Download

  • @article{10.11648/j.mlr.20170203.15,
      author = {Pınar Kirci},
      title = {A Brief Summary of Pervasive Computing System’s Main Structure},
      journal = {Machine Learning Research},
      volume = {2},
      number = {3},
      pages = {110-112},
      doi = {10.11648/j.mlr.20170203.15},
      url = {https://doi.org/10.11648/j.mlr.20170203.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20170203.15},
      abstract = {Recently, the people have many technological opportunities to reach data. Nowadays, many products and new technologies are put on the markets at every hour. Today, in addition to produce new devices and technologies, the researchers should provide these devices to cooperate with each other at the most. And also, these devices and technologies should present an anywhere and anytime intelligence which is proposed with pervasive computing for users, lately. Here, the user is covered with an intelligence provided by miscellaneous technologies and technological products at no matter where.},
     year = {2017}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - A Brief Summary of Pervasive Computing System’s Main Structure
    AU  - Pınar Kirci
    Y1  - 2017/04/17
    PY  - 2017
    N1  - https://doi.org/10.11648/j.mlr.20170203.15
    DO  - 10.11648/j.mlr.20170203.15
    T2  - Machine Learning Research
    JF  - Machine Learning Research
    JO  - Machine Learning Research
    SP  - 110
    EP  - 112
    PB  - Science Publishing Group
    SN  - 2637-5680
    UR  - https://doi.org/10.11648/j.mlr.20170203.15
    AB  - Recently, the people have many technological opportunities to reach data. Nowadays, many products and new technologies are put on the markets at every hour. Today, in addition to produce new devices and technologies, the researchers should provide these devices to cooperate with each other at the most. And also, these devices and technologies should present an anywhere and anytime intelligence which is proposed with pervasive computing for users, lately. Here, the user is covered with an intelligence provided by miscellaneous technologies and technological products at no matter where.
    VL  - 2
    IS  - 3
    ER  - 

    Copy | Download

Author Information
  • Sections