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.
Performance evaluation of a multi-frame persistent neighbor discovery strategy based on Sift-distribution in DTN RFID networks / Amendola, Danilo; Cordeschi, Nicola; Shojafar, Mohammad; V., Abate; F., De Rango. - (2014), pp. 647-653. (Intervento presentato al convegno International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS 2014) tenutosi a Monterey; United States) [10.1109/SPECTS.2014.6880006].
Performance evaluation of a multi-frame persistent neighbor discovery strategy based on Sift-distribution in DTN RFID networks
AMENDOLA, DANILO;CORDESCHI, Nicola;SHOJAFAR, MOHAMMAD;
2014
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.File | Dimensione | Formato | |
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