Solar Energy Harvesting Optimization for Wireless Sensor Networks
File(s)
Accepted version
Author(s)
Jackson, Greg
Ciocoiu, Simona
McCann, Julie A
Type
Conference Paper
Abstract
The energy optimization of resource constrained energy harvesting Wireless Sensor Networks (WSN) have constituted a major research topic in recent years in areas such as environmental monitoring, hazard detection and industrial applications. Current approaches leverage techniques such as adaptive duty cycling, transmission power adaptation, and data reduction methods to minimize energy consumption. However, the majority of the state of the art approaches with WSN research assume that energy generation, although variable, is not controllable in-situ to optimize energy generation. In this paper, we design a low power, low cost, open source solar tracking mechanism for energy harvesting wireless sensors. Furthermore, we formulate the dynamic energy generation system as an optimization problem and from this design an adaptive, lightweight, distributed, prediction free algorithm to maximize the energy generation of the system. Moreover, we evaluate the proposed method using a combination of real trace-driven real solar data based simulation, comparison to a centralized globally optimum solution and real world experimentation. From our evaluation, an improvement of up to 165% in energy generation has been seen when compared to traditional tracking methodologies and that the lightweight distributed implementation is, on average, 99.1% as efficient as the globally optimum solution across 28 distinct testing scenarios.
Date Issued
2018-01-15
Date Acceptance
2017-07-11
Citation
GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, 2018
ISSN
2334-0983
Publisher
IEEE
Journal / Book Title
GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE
Copyright Statement
© 2017 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
Intel Corporation
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000428054304123&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
CODSE_P61388
Source
IEEE Global Communications Conference (GLOBECOM)
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
SYSTEM
Publication Status
Published
Start Date
2017-12-04
Finish Date
2017-12-08
Coverage Spatial
YourSingapore, Singapore, SINGAPORE
Date Publish Online
2018-01-15