Performance Evaluation of Participatory Sensing Scheme Using Delay Tolerant Networking

Abstract

With the spread of high-performance mobile terminals that include sensors, participatory sensing is attracting attention for collecting sensor information using smartphones. Although there are two key advantages to this approach, its low cost and wide range of sensing, they come at the tradeoff of both the battery and storage. Therefore, efficient collection is required. There is also a challenge posed by how to collect data from environments in which the network infrastructure does not work. Previously, we proposed a data collection method using the location and time information of data in sinks as efficient data collection for participatory sensing using smartphones. In this paper, we evaluate the performance of this method using a real human behavior model.