In this work a Multi-Frame Neighbor Discovery Protocol in DTNs over a RFID devices is proposed. Our approach, which is based on a Sift-distribution (we named it s-Persistent) function, takes Single-Frame and Multi-Frame scenarios into consideration. 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. Therefore Performance Evaluation has been considered in terms of number of discovered neighbors under different numbers of nodes and frames, moreover we regarded an intra-frame time evaluation. Obtained results show that our solution performs better than p-Persistent, increasing the number of discovered neighbors with better results in intra-frame time evolution. © 2014 IEEE.
Multi-Frame s-Persistent Neighbor Discovery strategy in DTNs with resource-constrained RFID devices / Amendola, Danilo; Cordeschi, Nicola; Floriano De, Rango. - (2014), pp. 1-3. (Intervento presentato al convegno 7th IFIP/IEEE Wireless Days Conference, WD 2014 tenutosi a Rio de Janeiro; Brazil) [10.1109/WD.2014.7020841].
Multi-Frame s-Persistent Neighbor Discovery strategy in DTNs with resource-constrained RFID devices
AMENDOLA, DANILO;CORDESCHI, Nicola;
2014
Abstract
In this work a Multi-Frame Neighbor Discovery Protocol in DTNs over a RFID devices is proposed. Our approach, which is based on a Sift-distribution (we named it s-Persistent) function, takes Single-Frame and Multi-Frame scenarios into consideration. 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. Therefore Performance Evaluation has been considered in terms of number of discovered neighbors under different numbers of nodes and frames, moreover we regarded an intra-frame time evaluation. Obtained results show that our solution performs better than p-Persistent, increasing the number of discovered neighbors with better results in intra-frame time evolution. © 2014 IEEE.File | Dimensione | Formato | |
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