The document discusses the Internet of Things (IoT) and its potential to enhance connectivity for sustainable development, highlighting various technological advancements, platforms, and applications in this field. It also examines opportunities and challenges associated with IoT, including security issues, energy efficiency, and the need for interoperability among systems. Furthermore, specific cases of IoT implementations in sectors like agriculture, healthcare, smart cities, and industrial automation are presented, alongside the role of IEEE in driving innovation and collaboration in IoT developments.

1. INTERNET OF THINGS:
TRANSFORMING CONNECTIVITY
FOR A SUSTAINABLE FUTURE
Kuncoro Wastuwibowo
IEEE Indonesia Section, Advisor
IEEE TEMS, Regional Leadership Subcommittee
IEEE FEST BY IEEE UNIBRAW STUDENT BRANCH
27 OCTOBER 2024

2. +62 811 217 845
KUNCORO WASTUWIBOWO
KWAST@IEEE.ORG
Telkom Indonesia
Platform & Enabler Coherence Plan Project Chair (2014)
Asst Vice President Industry Synergy (2016)
Synergy Project Leader (2018–now)
IEEE Region 10 (Asia Pacific)
IEEE TENSYMP General Co-Chair, 2016
Industry Relations Committee Chair, 2017–2018
Industry & University Relation Coord, 2021–2022
IEEE Indonesia Section
Indonesia Comsoc Chapter Chair, 2009–2012
Indonesia Section Chair, 2013–2015
Indonesia Section Advisor, 2015–now

3. 01
02
03
04
The leading global
professional organisation
IEEE
Technical issues & development in IoT connections & capabilities
IoT — Connectivity & Platforms
Triggers for collaborative innovation in IoT technology
IoT — Opportunities & Challenges
IEEE community, societies, and publications related to IoT
IEEE IoT Community

4. ▪ AIEE: American Institute of Electrical Engineers
▪ Founded in 1884  1st Tuesday of October
▪ Power and utility oriented
▪ American
▪ IRE: Institute of Radio Engineers
▪ Founded in 1912
▪ Radio and electronics oriented
▪ Trans-national
▪ The (AIEE) and the (IRE) united in 1963 to establish the IEEE
100K
80K
60K
40K
20K
1946 1956 1962
IRE
AIEE
AIEE & IRE

5. 9
1-6
8
10
7
THE IEEE REGIONS

6. THE IEEE
IEEE is the world’s
largest technical
professional
organization dedicated
to advancing
technology for the
benefit of humanity.

7. IEEE ORGANISATION
STRUCTURE
IEEE
Members
IEEE Assembly Board of
Directors
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Activities
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Education
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Products
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Engagement
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Engineering
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Director

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Society
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Compatibility
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Electronics Society
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and Measurement
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and Technology
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Management
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Vehicular
Technology Society
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a Sustainable
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Internet of Things
Community
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Systems Technical
Community
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Community
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STEM Community
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Community
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Community
IEEE COMMUNITIES

10. IEEE IoT COMMUNITY

11. IEEE IoT JOURNAL

12. IEEE IoT MAGAZINE

13. RELATED IEEE MAGAZINES

14. IoT GROWTH

15. TECHNOLOGY & SOCIAL ASPECTS OF IoT
IoT
Social Impact
• Users’ adoption and impact
• Societal transformation
• Infrastructure control
Business Model
& Ecosystems
• New business model
• New value chain
• Ecosystem creation & development
• Application domains
Services &
Applications
• Explorations
• Prioritised services: smart cities, social
IoT, etc
• Applications
Software
Architecture
• Operating systems
• Middleware
• Cloud solutions
• Interfaces & APIs
• (Big) Data management
Enabler & System
Architecture
• Sensors & actuators
• Gateway & microsystems
• Protocols
• Energy management
Security
&
Privacy
•
Cybersecurity
•
Personal
data
privacy
Management
•
Zero-touch
management
•
Self-organisation
of
large
IoT
systems
•
Transformation
management

16. LPWAN (Low Power Wide Area Network)
5G Mobile
(Mobile) Edge Computing
Big Data & Artificial Intelligence
Smart Sensor & Wearable IoT
IoT TECHNOLOGY DEVELOPMENT

17. IoT NETWORKS
Shortrange
Cellular
Long range
Distance range
Data rate
WiFi
5G
4G
3G
Bluetooth
BLE
Zigbee
EnOcean
NFC/RFID
6LowPan
LPWAN
VSAT

18. SIGFOX LORAWAN NB-IoT
BPSK CSS QPSK
Modulation
ISM Band (433 MHz in Asia) ISM Band (433 MHz in Asia) Licensed LTE band
Frequency
100 Hz 200 kHz &125 kHz 200 kHz
Bandwidth
100 b/s 50 kb/s 200 kb/s
Data rate(max)
12 bytes (upload), 8 bytes (download) 243 bytes 1600 bytes
Message length
10 km (urban),40 km (rural) 5 km(urban), 20 km(rural) 1 m (urban), 10 km (rural)
Range
Veryhigh Veryhigh Low
Interference immunity
None AES 128b LTE encryption
Authentication &
encryption
No Yes No
Adaptive datarate
End-devices do not join a single base station End-devices do not join a single base station End-devices join asingle base station
Handover
Not allowed Allowed Not allowed
Private network
SIGFOX company+ ETSI LORAAlliance 3GPP
Standardisation
LPWAN TECHNOLOGIES
LPWAN (low power wide area network) memberikan koneksi IoT dengan jangkauan luas dan daya rendah, misalnya sensor di lokasi terpencil.
Teknologi seperti LORAWAN (long range wide area network) dan NB-IoT (Narrowband-IoT) tepat digunakan untuk aplikasi IoT di tempat luas,
data tak terlalu besar, dan membutuhkan koneksi yang stabil dan tahan lama

19. CASE: ANTARES LORAWAN Antares by Telkom Indonesia offers IoT service suite
centred around LORAWAN technology but also
supporting various other features.
1. LORAWAN Connectivity: Long-range, low-power
connectivity for IoT devices, ideal for large-scale,
low-power applications like smart cities,
agriculture, and environmental monitoring.
2. Device Management: Allows users to manage IoT
devices remotely, including provisioning,
configuration, and monitoring throughout the
lifecycle of the device. It ensures efficient control
of devices in real-time.
3. Data Processing and Analytics: Real-time data
collection and analysis from IoT devices. It
supports big data analytics, offering insights and
predictive analytics through data processing
capabilities integrated into the platform.
4. Big Data and Cloud Integration: Cloud integration
for scalability, supported by big data to analyse
large datasets. The platform also allows
integration with AI and machine learning models
for more advanced analytics.
5. APIs and SDKs: APIs and SDKs that allow easy
integration with third-party systems or custom IoT
applications, enhancing the flexibility of IoT
solutions.
6. Real-Time Dashboard: Data visualisation tools
with real-time dashboards, making it easier for
users to interpret the performance and metrics of
connected devices and their data.

20. CASE: TELKOMSEL’S NB-IoT
Telkomsel’s NB-IoT (Narrowband Internet of Things) aimed at
supporting large-scale, low-power IoT applications:
1. NB-IoT Connectivity: LPWAN connectivity using NB-IoT
for long-range communication, low data transmission, and
energy-efficient operations, for apps like smart metering,
smart agriculture, logistics, and environmental monitoring.
2. IoT Platform Integration: Integration with a robust IoT
platform supporting device management, data collection,
and analytics; providing real-time insights and data
visualisation.
3. Device Management: Users can remotely manage IoT
devices, including provisioning, configuration, and
diagnostics, ensuring efficient management across
widespread deployments.
4. Big Data and Analytics: Big data integration for advanced
analytics. It enables businesses to collect and analyse large
volumes of data from IoT devices, using AI and machine
learning to derive actionable insights.
5. APIs and SDKs for Developers: Creating custom IoT
solutions, integrating IoT capabilities into third-party
systems, and enabling businesses to tailor their IoT
applications to specific needs.
6. Real-Time Monitoring and Dashboard: Real-time data
monitoring with dashboards that display device
performance, usage patterns, and other critical metrics,
helping users make data-driven decisions.

21. IoT
Servers
Core
Network
Massive
MIMO
Network
Smallcell
Mobile
Smallcell
WiFi
Relays
Internet
Internet
NFV-Enabled
Network Control
IoT IN 5G MOBILE ARCHITECTURE
5G Mobiles
1. Enhanced Mobile Broadband (eMBB)
Focuses on high-speed data and improved capacity,
ideal for apps like streaming, AR, and VR.
2. Massive Machine-Type Communications (mMTC)
Supports IoT by enabling massive connectivity for
real-time, low-power, low-data devices such as
sensors in smart cities, autonomous vehicles, health
monitoring, etc.
3. Ultra-Reliable Low-Latency Communication (URLLC)
Provides ultra-low latency for critical applications like
autonomous vehicles and industrial automation.

22. (MOBILE) EDGE COMPUTING
Edge devices &
applications
Edge layer
Cloud layer
MEC Server
MEC Server
MEC Server
Cloud Server
(Cloudlet)
Offloading
Offloading
Offloading
Connected
vehicles
Assisted
driving
Smart home
Healthcare
monitoring
IoT gateway
Face recognition
Smart mobile
Video stream
analysis
IoT Devices
Mobile Edge Computing (MEC) enhances
IoT by processing data closer to the source,
reducing latency and enabling real-time
responses for critical applications like
autonomous vehicles and smart industries.
MEC minimises the need for data to travel
to centralised cloud servers, improving
network efficiency and handling the massive
data generated by IoT devices. It also
strengthens security by processing sensitive
data locally, making it an essential part of
5G-powered IoT solutions

23. BIG DATA-ENHANCED IoT ARCHITECTURE
Applications
Core Platform
Information Post-Processing
Filtering Pattern
Recognition Interpolation
Sampling
Service Discovery Service Delivery Context
Management
Service
Interaction
Big Data
Aggregators
Data Acquisition
Applications Services Services
Applications
IoT Nodes
Network Information Infrastructure
Sensor
Node Data
Cloud
Management
Edge
Management
Security
Tag Nanotech Actuator
Device &
Wearable
Capillary
Network
Control
Applications Services
Non-IoT Resources
Software
Agent
Social
Media
Streamin
g Media
Data Integration
Data Analytics
Data Governance
Applications
System
Management
Data Storage
Core Network
Machine
Learning

24. INNOVATIONS IN IoT DEVICES
Conductive polymers and
nanomaterials for flexible,
stretchable, and lightweight
sensors embedded into clothing
Flexible Sensor
Designed to break down naturally
after use, reducing waste.
Particularly relevant in temporary
medical applications.
Biodegradable Sensor
Devices to generate power from
movement, body heat, or surrounding
environment (solar power or ambient
electromagnetic energy)
Self-Powered Wearables
Track air quality, pollution levels, and
UV exposure; providing real-time data
to help avoid hazardous conditions.
Useful for outdoor workers, athletes,
or individuals living in urban
environments with high pollution
Wearable for Environmental
Monitoring
Providing real-time diagnostics for chronic
diseases. These sensors monitor glucose levels,
cardiovascular health, and even blood oxygen
saturation continuously.
Real-time Health Diagnosis
Advanced data processing directly on
device. Wearable devices can analyse
patterns and predict health issues,
like detecting early signs of heart
disease through irregular rhythms
AI-Powered Wearables
01
02
03
04
05
06

25. IoT CHALLENGES: TECHNICAL
Latency in serious
issue in critical
applications like
autonomous vehicles
or industrial
automation. 5G and
MEC aim to reduce
latency.
Latency & Real-
time Processing
• Vast amounts of
real-time data →
challenges in data
management,
processing &
analysis.
• Cloud helps, but
adds latency & cost.
Scalability &
Data Overload
• Incompatible
protocols &
standards →
fragmented IoT
ecosystem →
interoperability
issues.
Interoperability
& Standards
Challenges: balancing
power consumption
while maintaining
effective
communication and
data processing.
LPWAN & MEC help,
but optimisation is
still a work in
progress.
Energy
Efficiency
• Limited resources → weak
encryption & authentication
→ vulnerabilities (data
breaches, botnet attacks,
and DoS attacks.
• Limited storage &
protection → personal
privacy data issues
Security & Privacy

26. IoT IMPLEMENTATION OPPORTUNITIES
IoT systems can manage traffic,
monitor environmental quality,
optimize energy usage, and
improve public safety.
SMART CITIES & URBAN
INFRASTRUCTURE
Sensors measure soil, weather,
and crop health. Automated
irrigation, drone-based crop
monitoring yields while reducing
water and resource usage.
AGRICULTURE &
SMART FARMING
Real-time tracking of shipments,
incl transport & warehouses. IoT
& SCM platforms integration will
achieve greater transparency,
efficiencies, productivities.
SUPPLY CHAIN &
LOGISTICS
Consumer IoT is booming, incl
smart homes. Devices like
thermostats, lights, security,
voice assistants offer
convenience, energy savings, and
security.
SMART HOMES &
CONSUMER IoT
Cars communicate with
infrastructure & other cars —
exciting applications for traffic
management, vehicle safety, and
autonomous driving systems.
CONNECTED VEHICLES
& AUTO’ SYSTEMS
IoT systems are used in remote
patient monitoring and
wearables. Devices likewearable
heart monitors, glucose meters
enable real-time health tracking
& timely interventions.
HEALTHCARE &
REMOTE MONITORING
Smart grids enable efficient
energy distribution and real-time
monitoring. Smart meters enable
energy optimisation & load
distribution.
ENERGY MANAGEMENT
& SMART GRIR
IoT manufacture automatisation,
supply chain management, and
predictive maintenance. Industry
4.0 integrates IoT with AI to
create fully automated factories.
INDUSTRIAL IoT &
SMART MANUFACTURING
What are your ideas?
ETC

27. KUNCORO WASTUWIBOWO
KWAST@IEEE.ORG
KUNCORO@TELKOMINDONESIA.ID
+62.8112.17845
Thank You