Performance Assessment of Geo-triggering in Small Geo-fences: Accuracy, Reliability, and Battery Drain in Different Tracking Profiles and Trigger Directions

Abstract

Geo-fencing has been predicted to be a multi-billion dollar market in areas such as retail, ambient intelligence, entertainment, healthcare, etc. Businesses have been adopting geo-fencing technology, and now there are several platform providers such as Google, Qualcomm, Esri, Urban Airship, and others. These tools are continuing to attract application developers; however, best practices for choosing the specific performance options within this technology is still ambiguous. For example, Esri provides a geo-trigger service that allows developers to send targeted messages to users when they enter, exit, or dwell in a geo-fenced area. This service also provides the ability to choose higher levels of accuracy or battery saving by offering different location tracking profiles. This paper investigated two geo-trigger tracking profiles (Fine and Adaptive) to assess their performance in small, outdoor, geo-fenced areas; these two profiles are the most accurate but vary in their battery-use. The results show the Adaptive tracking profile to provide 100% reliability and average accuracy of 68.53 meters in geo-fences between 20-70 meter radii. In addition, the Adaptive tracking profile saved 15.20% battery-life while the user is stationery and 9.23% while the user is moving.

A Systematic Review of Navigation Assistance Systems for People With Dementia

“…Continuously presenting navigation advice is likely to create a dependency to the system and thereby hinder people's ability to remember routes and recognize scenes [70].Instead of systematically providing advice, the participants might benefit from a system that gradually reduces the level of supervision and thereby promotes independence [67]. The use of geofencing, i.e., "virtual perimeter for a real-world geographic area that allows users to receive notifications whenever they enter or exit a specified area", could also limit the use of turnby-turn advice [11], [71]. For instance, it can be used to send a warning message to people with dementia, or their caregivers, when they exceed a certain distance to their home.…”

Aplikasi Pembatasan Area Virtual (Geofence) Untuk Pemantauan Aktifitas Anak-Anak Menggunakan Smartphone Dan Smart Watch

“…Rumus ini cocok untuk membuat pembatas virtual dalam bentuk lingkaran. Adapun rumus haversine [16,17] tersebut adalah: Pada gambar 1, Use case "mendaftarkan keluarga", digunakan oleh aktor orang tua untuk untuk mendaftarkan nama keluarga melalui aplikasi mobile. Data-data keluarga yang didaftarkan diantaranya id kepala keluarga, nama keluarga, nama kepala keluarga, alamat keluarga, dan kata sandi.…”

Implementation of Dijkstra Algorithm with React Native to Determine Covid-19 Distribution

“…Studies using this algorithm seek the direction of travel the closest [8] and the location of the nearest futsal [7]. Determining a distance between two location points utilizing the GPS feature, with GPS will be able to track, determine the direction, especially when outdoors [9] and when the distance between people who have been confirmed Covid-19 can be known, it will warn other people who are around it to be able to maintain its distance so that it will minimize the occurrence of Covid-19 transmission. Applications to find out the closest confirmed case of Covid-19 are essential to avoid too tight space so that news of Covid-19 can be prevented, and this application trial can be implemented on mobile platforms [5].…”