학술논문

Mean free path applied to message dissemination in opportunistic networks
Document Type
Conference
Source
2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on. :420-425 Apr, 2015
Subject
Communication, Networking and Broadcast Technologies
Analytical models
Markov processes
Numerical models
Mobile communication
Mathematical model
Space exploration
Adaptation models
Language
Abstract
Opportunistic networking including Delay-/Disruption-Tolerant Networking (DTN) has become an increasingly real possibility since there are a huge number of mobile devices, such as smartphones, all over the world. DTN is expected to find promising applications, such as message dissemination in a disaster-struck area, and offloading mobile data traffic onto DTNs in urban areas. One of the potential issues that may confront these applications is that opportunities for message relaying are limited since smartphone users are sparsely distributed among base station cells. In order to disseminate message efficiently, it is important to be able to accurately evaluate DTN performance, such as message dissemination coverage, and time. In this paper, we propose a novel yet simple analytical model of message dissemination in DTNs by applying the concept of mean free path. The mean free path is the average distance that a particle (e.g., an atom or a molecule) travels between successive collisions (in physics jargon). The basic idea is that by mapping a particle in three-dimensional space to a node in two-dimensional space, a meeting between two nodes is represented as a collision between two particles. We also perform simulation experiments in order to validate our model.