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
Link To Document :
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