Geofence and Network Proximity
Dmitry Namiot, Manfred Sneps-Sneppe

TL;DR
This paper proposes replacing traditional geo-fencing with network proximity rules to improve indoor location-based services and significantly reduce energy consumption on mobile devices.
Contribution
It introduces a novel approach that uses network proximity instead of geographic boundaries for location-based services, enabling effective indoor deployment and energy savings.
Findings
Effective indoor location-based services achieved
Significant energy savings on mobile devices
Network proximity approach outperforms traditional geo-fencing
Abstract
Many of modern location-based services are often based on an area or place as opposed to an accurate determination of the precise location. Geo-fencing approach is based on the observation that users move from one place to another and then stay at that place for a while. These places can be, for example, commercial properties, homes, office centers and so on. As per geo-fencing approach they could be described (defined) as some geographic areas bounded by polygons. It assumes users simply move from fence to fence and stay inside fences for a while. In this article we replace geo-based boundaries with network proximity rules. This new approach let us effectively deploy location based services indoor and provide a significant energy saving for mobile devices comparing with the traditional methods.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsContext-Aware Activity Recognition Systems · Mobile Crowdsensing and Crowdsourcing · Human Mobility and Location-Based Analysis
