Dissemination of Spatial-Temporal Information in Mobile Networks with Hotspots

Abstract

Abstract. In this paper we examine the dissemination of reports about resources in mobile networks with hotspots, where hotspots, vehicles and sensors communicate with each other via short-range wireless transmission. Each disseminated report represents information about a spatial-temporal event, such as the availability of a parking slot at a particular time or the detection of an injured in an earthquake damaged building. We propose an opportunistic dissemination paradigm, in which a moving object transmits the reports it carries to encountered peers and obtains new reports in exchange. We address two issues in such an environment. First, we develop an architecture that allows a moving object to receive resource reports opportunistically. Second, we study how the received reports are used by a consumer to reduce resource discovery time. The proposed system has the potential to create a completely new information marketplace.

Parking in Competitive Settings: A Gravitational Approach

“…Work has been performed on dissemination of reports of open parking slots [10]. In [10], a parking choice algorithm is presented that chooses parking slots based on a relevance metric that includes the age of the open parking report.…”

“…In [10], a parking choice algorithm is presented that chooses parking slots based on a relevance metric that includes the age of the open parking report. Their work assumes that a driver knows the expected time a slot will remain available from now, and it knows how long it will take to travel there.…”

Resource Discovery Using Spatio-temporal Information in Mobile Ad-Hoc Networks

“…Furthermore, they do not study how to use the resource information, whereas we do so in this paper. This paper differs from our prior work [2] on the same topic mainly in three aspects. First, we make more realistic assumptions.…”

“…First, we make more realistic assumptions. For example, in [2] we assume that there is a single consumer. Second, we use peer-to-peer broadcast for reports dissemination whereas [2] uses pair-wise interactions.…”

“…For example, in [2] we assume that there is a single consumer. Second, we use peer-to-peer broadcast for reports dissemination whereas [2] uses pair-wise interactions. Finally, in this paper we use the relevance function to prioritize the communicated resource reports.…”