Multi-Frame s-Persistent Neighbor Discovery strategy in DTNs with resource-constrained RFID devices

Danilo Amendola, N. Cordeschi, F. Rango
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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.
资源受限RFID设备DTNs中的多帧持久邻居发现策略
本文提出了一种基于RFID设备的多帧邻居发现协议。我们的方法基于Sift-distribution(我们将其命名为s-Persistent)函数,考虑了单帧和多帧场景。我们的s-Persistent方法在模拟测试和真实测试平台中得到了应用,以便与p-Persistent协议等知名技术进行比较,看看该提议的有效性。因此,性能评估考虑了在不同节点数和帧数下发现邻居的数量,并考虑帧内时间的评估。得到的结果表明,我们的解决方案比p-Persistent性能更好,增加了发现邻居的数量,帧内时间进化效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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