DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kumar, Arjun | ko |
dc.contributor.author | Hoque, Mohammad A. | ko |
dc.contributor.author | Nurmi, Petteri | ko |
dc.contributor.author | Pecht, Michael G. | ko |
dc.contributor.author | Tarkoma, Sasu | ko |
dc.contributor.author | Song, Junehwa | ko |
dc.date.accessioned | 2020-11-05T08:55:54Z | - |
dc.date.available | 2020-11-05T08:55:54Z | - |
dc.date.created | 2020-11-04 | - |
dc.date.created | 2020-11-04 | - |
dc.date.issued | 2020-03-03 | - |
dc.identifier.citation | 21st International Workshop on Mobile Computing Systems and Applications, HotMobile 2020, pp.56 - 61 | - |
dc.identifier.uri | http://hdl.handle.net/10203/277155 | - |
dc.description.abstract | Deployments of battery-powered IoT devices have become ubiquitous, monitoring everything from environmental conditions in smart cities to wildlife movements in remote areas. How to manage the life-cycle of sensors in such large-scale deployments is currently an open issue. Indeed, most deployments let sensors operate until they fail and fix or replace the sensors post-hoc. In this paper, we contribute by developing a new approach for facilitating the life-cycle management of large-scale sensor deployments through online estimation of battery health. Our approach relies on so-called V-edge dynamics which capture and characterize instantaneous voltage drops. Experiments carried out on a dataset of battery discharge measurements demonstrate that our approach is capable of estimating battery health with up to 80% accuracy, depending on the characteristics of the devices and the processing load they undergo. Our method is particularly well-suited for the sensor devices, operating dedicated tasks, that have constant discharge during their operation. | - |
dc.language | English | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | Battery Health Estimation for IoT Devices using V-Edge Dynamics | - |
dc.type | Conference | - |
dc.identifier.wosid | 000546302800012 | - |
dc.identifier.scopusid | 2-s2.0-85082088188 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 56 | - |
dc.citation.endingpage | 61 | - |
dc.citation.publicationname | 21st International Workshop on Mobile Computing Systems and Applications, HotMobile 2020 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Austin, TX | - |
dc.identifier.doi | 10.1145/3376897.3377858 | - |
dc.contributor.localauthor | Song, Junehwa | - |
dc.contributor.nonIdAuthor | Kumar, Arjun | - |
dc.contributor.nonIdAuthor | Hoque, Mohammad A. | - |
dc.contributor.nonIdAuthor | Nurmi, Petteri | - |
dc.contributor.nonIdAuthor | Pecht, Michael G. | - |
dc.contributor.nonIdAuthor | Tarkoma, Sasu | - |
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