A diffusion model for energy harvesting sensor nodes

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Title: A diffusion model for energy harvesting sensor nodes
Authors: Abdelrahman, OH
Gelenbe, E
Item 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.
Issue Date: 8-Dec-2016
Date of Acceptance: 19-Sep-2016
URI: http://hdl.handle.net/10044/1/44920
DOI: https://dx.doi.org/10.1109/MASCOTS.2016.74
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/Funder: Defence Science and Technology Laboratory (DSTL)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Funder's Grant Number: DSTLX1000064083
Conference Name: 24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)
Keywords: Science & Technology
Engineering, Electrical & Electronic
Energy harvesting
Internet of Things
wireless sensor networks
diffusion process
Fokker-Planck equation
Publication Status: Published
Start Date: 2016-09-19
Finish Date: 2016-09-21
Conference Place: Imperial College London
Open Access location: http://san.ee.ic.ac.uk/publications/diffusion_mascots16.pdf
Appears in Collections:Electrical and Electronic Engineering

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