Discovery of Convoys in Network Proximity Log

TL;DR

This paper introduces an algorithm for detecting convoys in network proximity logs, utilizing mobile phones as sensors to enable context-aware content delivery based on proximity data instead of traditional location tracking.

Contribution

It presents a novel model for proximity-based browsing using network proximity logs and mobile phones as sensors, expanding convoy discovery beyond trajectory data.

Findings

Proximity logs can effectively replace location data for convoy detection.

The model enables context-aware content delivery based on proximity rules.

Wireless network nodes can serve as presence sensors for dynamic content discovery.

Abstract

This paper describes an algorithm for discovery of convoys in database with proximity log. Traditionally, discovery of convoys covers trajectories databases. This paper presents a model for context-aware browsing application based on the network proximity. Our model uses mobile phone as proximity sensor and proximity data replaces location information. As per our concept, any existing or even especially created wireless network node could be used as presence sensor that can discover access to some dynamic or user-generated content. Content revelation in this model depends on rules based on the proximity. Discovery of convoys in historical user's logs provides a new class of rules for delivering local content to mobile subscribers.