• DocumentCode
    1785351
  • Title

    Performance evaluation of a multi-frame persistent neighbor discovery strategy based on Sift-distribution in DTN RFID networks

  • Author

    Amendola, D. ; Cordeschi, N. ; Shojafar, Mohammad ; Abate, V. ; De Rango, Floriano

  • Author_Institution
    Dept. DIET, Sapienza Univ. of Rome, Rome, Italy
  • fYear
    2014
  • fDate
    6-10 July 2014
  • Firstpage
    647
  • Lastpage
    653
  • Abstract
    A multi-frame Neighbor Discovery Protocol over a DTN network with RFID Devices is proposed. This protocol is based on a Sift-distribution (s-Persistent) in order to differentiate the access probability to slots among RFID devices. Moreover, our approach has been considered in a mono-frame and multi-frame scenario. Our s-Persistent approach is applied in a simulated test and in a real test-bed in order to see the effectiveness of the proposal in comparison with a well-known technique such as p-Persistent protocol. Performance Evaluation has been evaluated in terms of number discovered neighbors under different numbers of nodes and frames. Obtained results shows that s-Persistent performs better than p-Persistent increasing the number of discovered neighbors.
  • Keywords
    computer network performance evaluation; delay tolerant networks; probability; protocols; radiofrequency identification; DTN RFID networks; delay tolerant networking; monoframe scenario; multiframe persistent neighbor discovery protocol; multiframe scenario; p- Persistent protocol; performance evaluation; s-Persistent approach; sift-distribution; Media Access Protocol; Multiaccess communication; Network topology; Performance evaluation; Proposals; Radiofrequency identification; Ad Hoc; Aloha; CSMA; DTN; Delay; Energy consumption; Energy efficient; IoT; Neighbor Discovery; RFID; Resource constraint; p-Persistent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Evaluation of Computer and Telecommunication Systems (SPECTS 2014), International Symposium on
  • Conference_Location
    Monterey, CA
  • Type

    conf

  • DOI
    10.1109/SPECTS.2014.6880006
  • Filename
    6880006