{"title":"Multi-Frame s-Persistent Neighbor Discovery strategy in DTNs with resource-constrained RFID devices","authors":"Danilo Amendola, N. Cordeschi, F. Rango","doi":"10.1109/WD.2014.7020841","DOIUrl":null,"url":null,"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.","PeriodicalId":311349,"journal":{"name":"2014 IFIP Wireless Days (WD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IFIP Wireless Days (WD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WD.2014.7020841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.