Self-Synchronization in Duty-Cycled Internet of Things (IoT) Applications
File(s)
Accepted version
Author(s)
Yadav, Poonam
McCann, Julie A
Pereira, Tiago
Type
Journal Article
Abstract
In recent years, the networks of low-power devices have gained popularity. Typically, these devices are wireless and interact to form large networks such as the machine to machine networks, Internet of Things, wearable computing, and wireless sensor networks. The collaboration among these devices is a key to achieving the full potential of these networks. A major problem in this field is to guarantee robust communication between elements while keeping the whole network energy efficient. In this paper, we introduce an extended and improved emergent broadcast slot (EBS) scheme, which facilitates collaboration for robust communication and is energy efficient. In the EBS, nodes communication unit remains in sleeping mode and are awake just to communicate. The EBS scheme is fully decentralized, that is, nodes coordinate their wake-up window in a partially overlapped manner within each duty-cycle to avoid message collisions. We show the theoretical convergence behavior of the scheme, which is confirmed through real test-bed experimentation.
Date Issued
2017-10-20
Date Acceptance
2017-09-10
Citation
IEEE INTERNET OF THINGS JOURNAL, 2017, 4 (6), pp.2058-2069
ISSN
2327-4662
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Start Page
2058
End Page
2069
Journal / Book Title
IEEE INTERNET OF THINGS JOURNAL
Volume
4
Issue
6
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
Natural Environment Research Council (NERC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000418174100024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
NE/I00694X/1
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Bio-inspired algorithm
broadcast messaging
firefly based self-synchronization
Internet of Things (IoT)
machine to machine (M2M) networks
media access control (MAC)
radio interference
WIRELESS SENSOR NETWORKS
PROTOCOL
OSCILLATORS
ENVIRONMENT
MAC
Publication Status
Published
Date Publish Online
2017-10-20