A diffusion model for energy harvesting sensor nodes
File(s)
Accepted version
Author(s)
Abdelrahman, OH
Gelenbe, E
Type
Conference Paper
Abstract
Energy harvesting has recently attracted much interest due to the emergence of the Internet of Things, and the increasing need to operate wireless sensing devices in challenging environments without much human intervention and maintenance. This paper presents a novel approach for modeling the performance of an energy harvesting wireless sensor node, which takes into account fluctuations in the amount of energy extracted from the environment, energy loss due to battery leakage, as well as the energy cost of sensing, data processing and communication. The proposed approach departs from the common queueing-theoretic framework used in the literature, and instead uses Brownian motion to represent more accurately the time evolution of the distribution of the node's battery level. The paper derives some performance measures of interest along with the stationary solution of the system, and discusses possible directions for reducing the number of parameters and states of the model without compromising accuracy.
Date Issued
2016-12-08
Date Acceptance
2016-09-19
Citation
2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2016, pp.154-158
ISBN
978-1-5090-3432-1
ISSN
2375-0227
Publisher
IEEE
Start Page
154
End Page
158
Journal / Book Title
2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Defence Science and Technology Laboratory (DSTL)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000390937800017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
DSTLX1000064083
EP/K017330/1
EP/P510798/1
Source
24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Energy harvesting
Internet of Things
wireless sensor networks
diffusion process
Fokker-Planck equation
NETWORKS
MANAGEMENT
Publication Status
Published
Start Date
2016-09-19
Finish Date
2016-09-21
Coverage Spatial
Imperial College London