Table Of ContentInternet of Things
Uttam Ghosh
Chinmay Chakraborty
Lalit Garg
Gautam Srivastava Editors
Intelligent
Internet
of Things
for Healthcare
and Industry
Internet of Things
Technology, Communications and Computing
SeriesEditors
GiancarloFortino,Rende(CS),Italy
AntonioLiotta,EdinburghNapierUniversity,SchoolofComputing,
Edinburgh,UK
The series Internet of Things - Technologies, Communications and Computing
publishesnewdevelopmentsandadvancesinthevariousareasofthedifferentfacets
oftheInternetofThings.Theintentistocovertechnology(smartdevices,wireless
sensors, systems), communications (networks and protocols) and computing (the-
ory, middleware and applications) of the Internet of Things, as embedded in the
fieldsofengineering,computerscience,lifesciences,aswellasthemethodologies
behind them. The series contains monographs, lecture notes and edited volumes
in the Internet of Things research and development area, spanning the areas of
wireless sensor networks, autonomic networking, network protocol, agent-based
computing,artificialintelligence,selforganizingsystems,multi-sensordatafusion,
smartobjects,andhybridintelligentsystems.
**Indexing:InternetofThingsiscoveredbyScopusandEi-Compendex**
Moreinformationaboutthisseriesathttps://link.springer.com/bookseries/11636
Uttam Ghosh • Chinmay Chakraborty • Lalit Garg
Gautam Srivastava
Editors
Intelligent Internet of Things
for Healthcare and Industry
Editors
UttamGhosh ChinmayChakraborty
VanderbiltUniversity Electronics&CommunicationEngineering
Nashville,TN,USA BirlaInstituteofTechnology
Jharkhand,India
LalitGarg GautamSrivastava
InformationandCommunication MathematicsandComputerScience
Technology BrandonUniversity
UniversityofMalta Brandon,MB,Canada
Msida,Malta
ISSN2199-1073 ISSN2199-1081 (electronic)
InternetofThings
ISBN978-3-030-81472-4 ISBN978-3-030-81473-1 (eBook)
https://doi.org/10.1007/978-3-030-81473-1
©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicensetoSpringerNatureSwitzerland
AG2022
Thisworkissubjecttocopyright.AllrightsaresolelyandexclusivelylicensedbythePublisher,whether
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ofillustrations,recitation,broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,and
transmissionorinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilar
ordissimilarmethodologynowknownorhereafterdeveloped.
Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication
doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant
protectivelawsandregulationsandthereforefreeforgeneraluse.
Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbook
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theeditorsgiveawarranty,expressedorimplied,withrespecttothematerialcontainedhereinorforany
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claimsinpublishedmapsandinstitutionalaffiliations.
ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG
Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland
Tomyfamily.UttamGhosh
ToArjunandKrishna.GautamSrivastava
Preface
MotivationsforThis Book
The Internet of Things (IoT) is made up of software components and physical
objectsthataredeeplyintertwined,eachoperatingondifferentspatialandtemporal
scales, exhibiting multiple behavioral modalities and interacting with each other
and with the users. They can interact directly with data and access services using
a myriad of ways that change with their context of use. Smart grids, global
environmental and disaster monitoring systems, medical and homeland security
systemsaswellasautonomoustransportation,andautomaticpilotavionicsarethe
mainapplicationsofIoT.
Data analytics has a significant role to play in the growth and success of IoT
applicationstowardexpertprocessingofhugeprocess-leveldata.Theutilizationof
data analytics shall, therefore, be promoted in the area of IoT to gain improved
revenues, competitive gain, and customer engagement. In recent years, machine
learning approaches have emerged as powerful computational models and have
shown significant success to deal with a massive amount of data in unsupervised
settings. The emerging technologies of cyber-physical systems, wearable devices,
cloudcomputing,anddataanalyticsofferthepotentialofacquiringandprocessing
a tremendous amount of data from the physical world. Promising computing
paradigmsandadvancedtechnologies(e.g.,smarthomeorcity)relatingtocontext
awareness systems, activity recognition, distributed smart sensing, heterogeneous
big data analytics, and machine learning have been increasingly developed and
integrated into IoT to make it a reality. Learning analytics provides new impulses
forthedevelopmentandapplicationofcyber-physicalsystems.
Intelligent Internet of Things for Healthcare and Industry focuses on emerging
trends, strategies, and applications of IoT in both healthcare and industry from a
data analytics perspective. IoT systems will continuously generate massive data
that requires big data techniques to process and help to improve system security,
efficiency, and scalability. Data analytics are relevant for healthcare as well as
industry to meet many technical challenges and issues that need to be addressed
vii
viii Preface
to realize this potential. The advanced healthcare systems have to be upgraded
withnewcapabilitiessuchasdataanalytics,machinelearning,intelligentdecision-
making,andmoreprofessionalservices.IoThelpstodesignanddevelopintelligent
medicalandindustrysolutionsassistedbydataanalyticsandmachinelearning.
ContentsofThis Book
Intelligent Internet of Things for Healthcare and Industry is made up of sev-
eral state-of-the-art chapters from both scientists and practitioners working in
IoT, healthcare, and AI. It aspires to provide a relevant reference for students,
researchers, engineers, and professionals working in this area or those interested
in grasping its diverse facets and exploring the latest advances in the field. More
specifically,thebookcontains17chapters,splitintotwomainparts.PartIfocuses
onIoTinhealthcare,whilePartIIisabouttheIntelligentIoTintheindustry.Chapter
1 examines the effectiveness of machine and deep learning on IoT healthcare
devices.Chapter2featuresanin-depthlookintonetworkprotocolsontheInternet
ofHealthThings(IoHT).Chapter3examinesaffectivecomputingine-healthusing
remote IoT. Chapter 4 investigates the COVID-19 pandemic and ways IoT can
helpfightitsramifications.Chapter5looksatpatienthealthmonitoringusingIoT
sensors.InChap.6,blockchainisimplementedforsecuresmarthealthcaresystems.
Chapter 7 examines the impact of computation intelligence on the healthcare
systems emphasizing bioinformatics and the Internet of Medical Things. A very
in-depth survey of security and privacy in the Internet of Medical Things is given
in Chap. 8. Chapter 9 presents an exploration into wearable sensor technology
in healthcare. In Chap. 10, diabetes prediction is examined using a fog-based
infrastructure. A comprehensive analysis of IoT sustainability in a post-COVID
era is given in Chap. 11. Diagnosis of autism is investigated in Chap. 12 using
optimization algorithms. Moving away from healthcare in the second part of the
book,Chap.13divesintomachinelearningandfogcomputingareasforsmartcities.
In Chap. 14, quality of service and green computing is investigated for industry.
Chapter15looksatprivacyissuesforsmartIoTnetworksinindustry.InChap.16,
Industry4.0issurveyedintheautomotivefield.Toconclude,Chap.17implements
smartsecurityforindustrialapplications.
Acknowledgments
We want to take this opportunity and express our thanks to the contributors to
this volume and the reviewers for their great efforts in reviewing and providing
interesting feedback to the authors of the chapters. The editors would like to
thankDr.GiancarloFortino(Springer,SeriesEditor),Dr.AntonioLiotta(Springer,
Series Editor), and Ms. Cynthya Pushparaj (Springer Project Coordinator) for the
Preface ix
editorial assistance and support to produce this important scientific work. Without
thiscollectiveeffort,thisbookcouldnothavebeencompleted.
Overall, Intelligent Internet of Things for Healthcare and Industry aims at
promoting and facilitating exchanges of research knowledge and findings across
differentdisciplines.
Brandon,MB,Canada GautamSrivastava
Msida,Malta LalitGarg
Jharkhand,India ChinmayChakraborty
Nashville,TN,USA UttamGhosh
Contents
EffectivenessofMachineandDeepLearninginIOT-Enabled
DevicesforHealthcareSystem.................................................. 1
YogeshKumarandRuchiSingla
NetworkProtocolsfortheInternetofHealthThings........................ 21
TrishaDasMouandGautamSrivastava
Affective Computing for eHealth Using Low-Cost Remote
InternetofThings-BasedEMGPlatform ..................................... 67
Žygintas Tamulis, Mindaugas Vasiljevas, Robertas Damaševicˇius,
RytisMaskeliunas,andSanjayMisra
ApplicationoftheInternetofThings(IoT)toFighttheCOVID-19
Pandemic.......................................................................... 83
Roseline Oluwaseun Ogundokun, Joseph Bamidele Awotunde,
EmmanuelAbidemiAdeniyi,andSanjayMisra
An Enhanced IoT-Based Array of Sensors for Monitoring
Patients’Health .................................................................. 105
Modupe Odusami, Sanjay Misra, Olusola Abayomi-Alli,
ShobayoOlamilekan,andChukwuebukaMoses
A Secured Smart Healthcare Monitoring Systems Using
BlockchainTechnology.......................................................... 127
Joseph Bamidele Awotunde, Chinmay Chakraborty,
andSakinatOluwabukonlaFolorunso
ComputationalIntelligenceinHealthcarewithSpecialEmphasis
onBioinformaticsandInternetofMedicalThings........................... 145
Siddharth Banyal, Deepanjali Mehra, Amartya, Siddhant Banyal,
DeepakKumarSharma,andUttamGhosh
xi
