Context-Aware Mobile Power Management Using Fuzzy Inference as a Service

Autor:	Mohammad Moghimi, Piero Zappi, Tajana Rosing, Jagannathan Venkatesh
Rok vydání:	2013
Předmět:	Power management Adaptive neuro fuzzy inference system Database Mobile phone Computer science Middleware Distributed computing Context awareness Context (language use) Energy consumption computer.software_genre computer Mobile device
Zdroj:	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783642366314 MobiCASE
DOI:	10.1007/978-3-642-36632-1_18
Popis:	As smartphones become ubiquitous, their energy consumption remains one of the most important issues. Mobile devices operate in a dynamically changing context, and their embedded sensors can be used to extract the relevant context needed for resource optimization. In this paper, we present a context-aware power management system implemented as a widely-applicable middleware application. Fuzzy inference is used to represent a high-level description of context, which is provided as a service. We test our approach using actual periodic and streaming applications on a mobile phone. Our results show energy reduction of 13-50% for periodic applications, and 18-36% for streaming applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ccc3360c76a9f3287ba55c308d49deaa https://doi.org/10.1007/978-3-642-36632-1_18 Zobrazit plný text záznamu