A Case Study of Participatory Data Transfer for Urban Temperature Monitoring

Abstract

Abstract. The sensing systems that monitor physical environments rely on communication infrastructures (wired or wireless) to collect data from the sensors embedded in the environment. However, in many urban environments pre-existing communication infrastructures are not available, and installing new infrastructures is unjustifiably expensive and/or technically infeasible. For such environments, we envision Participatory Data Transfer (PDT ) as an alternative communication medium that leverages users participation for data transfer. With PDT, users use mobile devices to receive data from sensors, and forward the sensed data through the ad hoc network of the mobile devices until the data is received by the data aggregators (i.e., data sinks). Sensor deployment and ad hoc routing/networking are two related problems that are both extensively studied in the literature. However, to enable efficient deployment of PDT for sensing applications one needs to consider the requirements of the two aforementioned problems in conjunction. In this paper, we present a case study of PDT with which we explore the performance of PDTbased data transfer with a sample urban sensing application, namely, an urban temperature monitoring application. Our experimental case study is by simulation based on real datasets including GPS track data for more than 2000 vehicles in the city of Beijing. We discuss our observations based on this case study which can serve as directions to design application-specific optimal PDT mechanisms.

Trust Based Participant Driven Privacy Control in Participatory Sensing

“…For example, a user may consider taking data as shown in Table 3, where b and c are constants and t is the time factor for each property in equations (1-3). The value of I for the above data is 0.7894 by equations (1)(2)(3)(4)(5). Since it is greater than the threshold, this is a positive interaction.…”

“…Participatory sensing applications have attracted significant interest in recent years [1][2][3][4][5]. In this, participatory entities are ranging from networked sensors to multisensory personal devices.…”

Decentralized Monitoring of Moving Objects in a Transportation Network Augmented with Checkpoints

“…This idea of using the movement of objects in this way has already received much attention in the literature, also termed the mobility diffusion effect [39], participatory data transfer [40] and is closely related to opportunistic data dissemination [41,42].…”