Full On-Device Stay Points Detection in Smartphones for Location-Based Mobile Applications

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:30:19Z
Fecha de publicación2016-01-01
ResumenThe tracking of frequently visited places, also known as stay points, is a critical feature in location-aware mobile applications as a way to adapt the information and services provided to smartphones users according to their moving patterns. Location based applications usually employ the GPS receiver along with Wi-Fi hot-spots and cellular cell tower mechanisms for estimating user location. Typically, fine-grained GPS location data are collected by the smartphone and transferred to dedicated servers for trajectory analysis and stay points detection. Such Mobile Cloud Computing approach has been successfully employed for extending smartphone’s battery lifetime by exchanging computation costs, assuming that on-device stay points detection is prohibitive. In this article, we propose and validate the feasibility of having an alternative event-driven mechanism for stay points detection that is executed fully on-device, and that provides higher energy savings by avoiding communication costs. Our solution is encapsulated in a sensing middleware for Android smartphones, where a stream of GPS location updates is collected in the background, supporting duty cycling schemes, and incrementally analyzed following an event-driven paradigm for stay points detection. To evaluate the performance of the proposed middleware, real world experiments were conducted under different stress levels, validating its power efficiency when compared against a Mobile Cloud Computing oriented solution.es_ES
Doihttps://doi.org/10.3390/s16101693es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/2258
Idiomaeses_ES
EditorialMDPI AGes_ES
RelaciónSensorses_ES
URL relacionadohttps://doi.org/10.3390/s16101693es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteSensors
TítuloFull On-Device Stay Points Detection in Smartphones for Location-Based Mobile Applicationses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorPérez-Torres, Rafael
AutorTorres-Huitzil, César
AutorGaleana-Zapién, Hiram
AutorPérez-Torres, Rafaeles_ES
AutorTorres-Huitzil, Césares_ES
AutorGaleana-Zapién, Hirames_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número10es_ES
Rango de páginas1693es_ES
URL relacionadahttps://doi.org/10.3390/s16101693
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen16es_ES

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