JOURNAL ARTICLE

3R: Fine-grained encounter-based routing in Delay Tolerant Networks

Abstract

Abstract—In this paper, we first characterize the fine-grained encounter pattern among mobile users found in a large-scale Bluetooth trace collected by 123 participants at the University of Illinois campus from March to August 2010. Our characterization results show that the fine-grained encounter pattern is regular and predictable. We then present 3R routing protocol, which leverages the regularity of fine-grained encounter pattern among mobile nodes to maximize message delivery probability while preserving message delivery deadline. We evaluate and compare 3R with Prophet and Epidemic routing protocols over the collected trace. Evaluation results show that 3R outperforms other alternatives considerably by improving message delivery while reducing message overhead. I.

Keywords:
Computer science

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Topics

Opportunistic and Delay-Tolerant Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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