Performance of an autonomous energy harvesting wireless sensor
File(s)
Accepted version
Author(s)
Gelenbe, E
Kadioglu, YM
Type
Conference Paper
Abstract
While complex autonomic self-organising systems have received much attention, simple autonomous systems are also needed for remote sensing applications, as well as for the Internet of Things. Such autonomous stand-alone unattended devices may not have access to reliable sources of mains power, and will have to harvest energy locally from ambient sources such as vibrations, heat or light. However energy leakage will also be a problem. This paper proposes a mathematical model to analyse the performance of such systems in the presence of a random source of energy, as well as a random source of data. The equilibrium between random energy, random data and random leakage results in an interesting performance analysis of these small but ubiquitous systems as a whole. A discussion is also provided about the effect of transmission errors.
Editor(s)
Abdelrahman, OH
Gelenbe, E
Gorbil, G
Lent, R
Date Issued
2015-08-04
Date Acceptance
2015-08-01
Citation
Lecture Notes in Electrical Engineering, 2015, 363: Information Sciences and Systems 2015, pp.35-43
ISBN
978-3-319-22635-4
ISSN
1876-1100
Publisher
Springer Verlag
Start Page
35
End Page
43
Journal / Book Title
Lecture Notes in Electrical Engineering
Volume
363: Information Sciences and Systems 2015
Copyright Statement
© Springer-Verlag 2015. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-22635-4_3
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000385253500003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
30th International Symposium on Computer and Information Sciences (ISCIS)
Subjects
Science & Technology
Technology
Computer Science, Theory & Methods
Telecommunications
Computer Science
Autonomous energy harvesting
Performance evaluation
Autonomous wireless sensor
NETWORKS
Publication Status
Published
Start Date
2015-09-23
Finish Date
2015-09-25
Coverage Spatial
Imperial College, London, ENGLAND