Battery drain analysis and prediction for wireless devices

Technologies for wireless device battery analysis and prediction are disclosed. A described technology includes collecting wireless device information including battery drain information relating to a battery of a wireless device; determining, based on the collected wireless device information, a pl...

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Bibliographische Detailangaben
Hauptverfasser:	RHINES, JEFFREY, TREGONING, GLEN, ADAMS, CORY, WILSON, HEATHER LEE, O'DONNELL, SHAWN, BECK, NATHANIAL, THOMPSON, LINDSAY, BALLOU, MICHAEL, MORGAN, CHRISTOPHER, REYBOK, RICHARD
Format:	Patent
Sprache:	eng
Schlagworte:	BASIC ELECTRIC ELEMENTS CALCULATING CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION ANDCOMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION ANDCOMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THIR OWNENERGY USE COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS PHYSICS PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSIONOF CHEMICAL INTO ELECTRICAL ENERGY TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINSTCLIMATE CHANGE TRANSMISSION WIRELESS COMMUNICATIONS NETWORKS
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Beschreibung
Zusammenfassung:	Technologies for wireless device battery analysis and prediction are disclosed. A described technology includes collecting wireless device information including battery drain information relating to a battery of a wireless device; determining, based on the collected wireless device information, a plurality of prediction outcomes corresponding respectively to a plurality of different battery usage prediction models; determining accuracies respectively for the battery usage prediction models; generating weight values respectively for the battery usage prediction models based on the determined accuracies; and generating a battery prediction result for the wireless device based on the prediction outcomes and the generated weight values.