Information floating on a road with different traffic volumes between opposite lanes

Abstract

Information floating (IF) is an invisible infrastructure in which mobile nodes can receive information that seems to be floating in a designated area. IF is realized by successively transferring information from a mobile node to other nodes in an epidemic manner with wireless direct communication in designated areas. IF has many potential applications, such as advertisements for local communities, specific communication for disasters, alert systems for pedestrians and vehicles, and so on. To design alert systems on a road, some articles theoretically analyze the mean lifetime of the floating in a one-dimensional street. In past researches, however, identical traffic volume and velocity were assumed in all the lanes. The difference in traffic volume between lanes and the correlation between traffic volume and velocity were omitted for simplicity. In this paper, we recognize the importance of these two factors and reveal their effects on the mean lifetime of IF with a new theoretical method. In it, we consider not only the effects of the above two factors but also the complicated features of IF that were ignored in previous methods.

Analytical models of floating content in a vehicular urban environment

“…One of the distinctive features of vehicular mobility is being strongly influenced by the geometry of the road grid, and the related constraints on node speed and direction. As a consequence, most existing approaches to vehicular FC modeling focus on specific road geometries, such as highways, highway junctions, or Manhattan grids, deriving results which are hardly generalizable [11].…”

“…If 1 − exp(− 1 2µ τ ) is the CDF of such distribution, the probability of successful content transfer is exp − 1 2µ (τ 0 + L C0 ). Putting it all together, we have (11).…”

“…[10] shows however that those results are heavily inaccurate when applied to realistic scenarios, and in particular to vehicular setups. Several works consider FC in the vehicular environment (see e.g., [11,12]). However, these works still focus on content persistence within the AZ.…”

“…The proposed model is based on the assumption that on-the-fly exchanges between nodes on the move are negligible, in a way that results are not easily generalizable to other contexts, such as vehicular ones, where such assumption does not hold. For the estimation of FC performance in vehicular environments,[11] develops an analytical model for the mean floating lifetime on a two-lanes highway [25]. considers a setup where a Software Defined Networking (SDN) controller collects mobility information, such as vehicle speed and position.…”