SlideShare a Scribd company logo
Distributed
Ledgers Meet
Mesh Networks
By:
Kevin Chen
2
Table of Content
1. Our Evolving Internet
2. Introducing IoT / M2M
3. Blockchain Secure Value Layer
4. Cases Studies
5. What’s Next?
1.
Our Evolving
Internet
3
➢ Global communications
network
➢ Connects billions of….
○ Computers
○ Mobile phones
○ Now custom devices
➢ Web: the UI of Internet
○ Starting with websites
4
What is the Internet?
➢ Mid 1900s - Early 2000s
➢ Personal computers
becoming mainstream
➢ Static information pages
➢ Webmasters determine
information on site
➢ Connect by hyperlink
5
Web 1.0 (The Static Web)
➢ Mid 2000s - Early 2010s
➢ Client - Server - Client
➢ AJAX, CSS, and widgets
➢ Social web, interactivity
➢ Rise of open-source
➢ Rise of social media
➢ Rise of e-commerce and
Digital payments
6
Web 2.0 (The Interactive Web)
7
Web 3.0?
Web 3.0 under the hood...
8
2.
Introducing
IoT & M2M
9
➢ Supply Side (More Ubiquity)
○ Moore’s Law
○ Maker Movement/Customization
○ Smaller Embedded Devices/Machines
➢ Demand Side (Greater Need)
○ Intel gathering: Data = Oil, “Smart” = Insightful Info
■ For internal and external consumption
○ Predictive Analytics (i.e. Maintenance)
○ Now there is an arm’s race, FOMO
10
Why IoT? Why Now
11
Cloud, Fog, and Mist Computing
12
Challenges...
1) Fragmented Network
Protocols
2) Security Vulnerabilities
13
1) Fragmented
Networks
➢ Differences in:
○ Range
○ Bandwidth
○ Power Usage
○ Latency
➢ Wireless Types:
○ Cellular
○ Wifi
○ RF
○ LPWAN
○ Mesh
➢ Cell sites networks
➢ 3G/4G (LTE)/5G
➢ Range:
○ GSM: 200 km max
○ HPSA: 35 km max
➢ Large quantities of data,
less latency
➢ High power consumption
➢ Use cases: self-driving cars,
telemetry health care
➢ “Visa” of IoT Networks
14
Cellular
➢ Connects to router (wireless
access point → Ethernet)
➢ Range: 100 m max
➢ Data Rate: 150-600 Mbps
➢ Fastest Data Rate
➢ Most power consuming
➢ Vulnerable to attack
➢ Use cases: This presentation!
15
Wi-Fi
➢ Short-distance communications
➢ Radio Frequency ID (RFID)
○ Use RF to ID and tag objects
○ Range < 12 m, Data: ~600 kbps
○ Use cases: retail and warehouse
merchandise tagging, car
➢ Near Field Communications (NFC)
○ D2D proximity communications
○ Range: < 10 cm, Data: 100-400 kbps
○ Use cases: contactless card tech,
newer cell phones, badge
➢ Bluetooth Low Energy (BLE)
○ Battery-powered + RF chip beacon
○ Range: < 70 m, Data: ~1 Mbps
○ Use cases: beacons UI, wearables
16
Radio Frequency (RF)
➢ Low Power [Wireless] Wide Area
Network (LPWAN)
➢ Interconnects battery-powered
devices with a central hub
➢ WAN: kilometers, LAN: meters
➢ Battery (2.5 Ah) Life: 10-20 years
➢ Greater number of devices
➢ LoRa: 2-15 km, < 27 kbps
➢ SigFox/UNB: 3-50 km, < 100 bps
➢ RPMA: ~5-10 km, more power comp
➢ Use Cases: Smart Cities, Industry
4.0, AgTech
17
LPWAN
18
➢ Edge-to-edge (E2E), with gateway
➢ Endpoints become signal receivers
➢ Non-interference
➢ ZigBee
○ 7 years for batteries
○ Range: 10-100 m, Data: 20-250 kbps
○ Use Cases: utility, retail
➢ Z-Wave
○ Range: ~30 m, Data: 10-40 kbps
○ Use Cases: home automation
19
Mesh networks
➢ ANT
➢ 6LowPAN
➢ OnRamp (LPWAN)
➢ DigiMesh (Mesh)
➢ Helium
20
Others
21
MESHWIFI / LPWANCELLULAR
22
IoT Protocols Cheat Sheet
Network Distance Battery Life Data Rate Topology
Cellular Very Long Low High Centralized
Wifi Short Very Low Very High Decentralized
RF Very Short Medium Medium P2P
LPWAN Long Very High Very Low Decentralized
Mesh Medium High Low Distributed
Inversely correlated
23
Rest of the Internet Stack today...
24
2) Security Vulnerability
➢ Vulnerable Cryptography
➢ Data can be intercepted
OTA
➢ Examples:
○ Dyn Inc.
○ Factories
○ Medical Devices
○ Smart Cars
4.
Adding
Blockchains/DLTs
In the Mix
25
➢ Distributed Ledger
○ REDUCES SINGLE
POINT OF FAILURE
○ Use cases: IDoT, Data
Encryption, Audit Trail
➢ Type of Propagated Data:
○ Transactions
○ Blocks
26
Basics
➢ Public Key Cryptography
○ Sign and create Digital Signatures
○ Ex: transaction, software update, ID
➢ Consensus Mechanism
○ Set of confirmed and verified
transactions for distributed ledgers
○ PoW/PoS/others...
27
Properties of Blockchain
28
Blockchain/DLT Avg Tx Size Max Block Size Avg Block Interval
Bitcoin < 1 kB 1 MB 10 min
Bitcoin Cash < 1 kB 8 MB 10 min
Litecoin < 1 kB 4 MB 2.5 min
Ethereum Up to ~53,000
Gas limit (for SC)
3,141,592
Gas (~800 kB)
15-17 sec
IOTA 1 - 2 kB* - -
➢ RACE TO FIRST!
➢ Need Power Supply
➢ Need Fastest
Connectivity
➢ Need Fastest
Computing
➢ Biggest Mining Pools
29
Mining (PoW)
30
Tx
Mining
31
Partition-Tolerance (DAG)
Where DAGs come along...
32
Blockchain/DLT layer on top of IoT Connectivity layer,
below Data or Application layer
5.
Case
Studies
33
➢ Early blockchain + IoT startup,
founded in 2012
➢ Vertical SPADE Framework
➢ Filament Tap device/beacon
➢ Use telehash for distributed
endpoint device comms
➢ Device discovery over Wifi,
radio, and Bluetooth
➢ Blockname: address on Bitcoin
➢ Blocklet: L2 accounting on BTC
➢ Use cases: rails, freights, and
other infrastructure
34
Filament
➢ Comprehensive IoT-DLT app
platform provider
➢ IoT CMS, Device Registry, Data
Collection/Analytics
➢ Supports ZigBee, ZWave, BLE,
BT, and UWB
➢ Use Cases: Dynamic EV
Charging, Smart City
parking/utilities metering
➢ Using IOTA feeless network
35
Netobjex
➢ Wisdom Alter Label Trade
Organizations and Networks
➢ VIOT (Value IoT)
➢ Phase 1.0: dev RFID tags to
placed onto materials not
accessible to the Internet
➢ Use Cases: retail, warehousing,
logistics (P 2.0), smart
manufacturing (P 3.0)
36
WaltonChain
➢ Decentralized ISPs (monopolistic)
➢ Incentivized Community Mesh
➢ Create software for existing
hardware to connect to each other
➢ Hops with best AND cheapest paths
➢ IoT connectivity depending on hop
distances (i.e. LPWAN large hops)
➢ Uses Ethereum blockchain
➢ IoT network agnostic
37
Althea Mesh
➢ Sensor (i.e. temperature
logger) records
environment conditions
while package is in transit
➢ Uses BLE or NFC
➢ Blockchain agnostic,
starting with Ethereum
➢ Use Cases: pharmaceutical
supply chain
38
Modum
6.
What’s
Next?
39
40
Digital Assets (Tokenization) of Everything?
41
AI, bots, and DAOs
the next layer?
42
Swarm Intelligence?
43
New UI/UX?
➢ Front-End Layer
○ Websites, AR/VR, Robotics, Smart Cities, Industry 4.0, Space Tech
➢ New Software applications
○ With built-in AI/IoT/DLT libraries
➢ AI Semantic Layer
○ Google DL/NN
➢ Data Aggregation Layer
○ MAM, MQTT, XMPP, JSON
➢ Blockchain/DLT Trustless Consensus Layer
○ Bitcoin, Ethereum, NEO, IOTA, Ripple, Litecoin, Monero
➢ IoT Connectivity Layer
○ Cellular, Wifi, LPWAN, Mesh
➢ Physical Layer (Wired/Wireless)
○ Radio frequencies, Fiber optics, Quantum tunneling?
44
Possible Web 3.0 Stack?
Thank you!
kevin.chen@iota.org
@kevrchen
www.iota.org
45

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Distributed Ledgers meet Mesh Networks

  • 2. 2 Table of Content 1. Our Evolving Internet 2. Introducing IoT / M2M 3. Blockchain Secure Value Layer 4. Cases Studies 5. What’s Next?
  • 4. ➢ Global communications network ➢ Connects billions of…. ○ Computers ○ Mobile phones ○ Now custom devices ➢ Web: the UI of Internet ○ Starting with websites 4 What is the Internet?
  • 5. ➢ Mid 1900s - Early 2000s ➢ Personal computers becoming mainstream ➢ Static information pages ➢ Webmasters determine information on site ➢ Connect by hyperlink 5 Web 1.0 (The Static Web)
  • 6. ➢ Mid 2000s - Early 2010s ➢ Client - Server - Client ➢ AJAX, CSS, and widgets ➢ Social web, interactivity ➢ Rise of open-source ➢ Rise of social media ➢ Rise of e-commerce and Digital payments 6 Web 2.0 (The Interactive Web)
  • 8. Web 3.0 under the hood... 8
  • 10. ➢ Supply Side (More Ubiquity) ○ Moore’s Law ○ Maker Movement/Customization ○ Smaller Embedded Devices/Machines ➢ Demand Side (Greater Need) ○ Intel gathering: Data = Oil, “Smart” = Insightful Info ■ For internal and external consumption ○ Predictive Analytics (i.e. Maintenance) ○ Now there is an arm’s race, FOMO 10 Why IoT? Why Now
  • 11. 11 Cloud, Fog, and Mist Computing
  • 13. 13 1) Fragmented Networks ➢ Differences in: ○ Range ○ Bandwidth ○ Power Usage ○ Latency ➢ Wireless Types: ○ Cellular ○ Wifi ○ RF ○ LPWAN ○ Mesh
  • 14. ➢ Cell sites networks ➢ 3G/4G (LTE)/5G ➢ Range: ○ GSM: 200 km max ○ HPSA: 35 km max ➢ Large quantities of data, less latency ➢ High power consumption ➢ Use cases: self-driving cars, telemetry health care ➢ “Visa” of IoT Networks 14 Cellular
  • 15. ➢ Connects to router (wireless access point → Ethernet) ➢ Range: 100 m max ➢ Data Rate: 150-600 Mbps ➢ Fastest Data Rate ➢ Most power consuming ➢ Vulnerable to attack ➢ Use cases: This presentation! 15 Wi-Fi
  • 16. ➢ Short-distance communications ➢ Radio Frequency ID (RFID) ○ Use RF to ID and tag objects ○ Range < 12 m, Data: ~600 kbps ○ Use cases: retail and warehouse merchandise tagging, car ➢ Near Field Communications (NFC) ○ D2D proximity communications ○ Range: < 10 cm, Data: 100-400 kbps ○ Use cases: contactless card tech, newer cell phones, badge ➢ Bluetooth Low Energy (BLE) ○ Battery-powered + RF chip beacon ○ Range: < 70 m, Data: ~1 Mbps ○ Use cases: beacons UI, wearables 16 Radio Frequency (RF)
  • 17. ➢ Low Power [Wireless] Wide Area Network (LPWAN) ➢ Interconnects battery-powered devices with a central hub ➢ WAN: kilometers, LAN: meters ➢ Battery (2.5 Ah) Life: 10-20 years ➢ Greater number of devices ➢ LoRa: 2-15 km, < 27 kbps ➢ SigFox/UNB: 3-50 km, < 100 bps ➢ RPMA: ~5-10 km, more power comp ➢ Use Cases: Smart Cities, Industry 4.0, AgTech 17 LPWAN
  • 18. 18
  • 19. ➢ Edge-to-edge (E2E), with gateway ➢ Endpoints become signal receivers ➢ Non-interference ➢ ZigBee ○ 7 years for batteries ○ Range: 10-100 m, Data: 20-250 kbps ○ Use Cases: utility, retail ➢ Z-Wave ○ Range: ~30 m, Data: 10-40 kbps ○ Use Cases: home automation 19 Mesh networks
  • 20. ➢ ANT ➢ 6LowPAN ➢ OnRamp (LPWAN) ➢ DigiMesh (Mesh) ➢ Helium 20 Others
  • 22. 22 IoT Protocols Cheat Sheet Network Distance Battery Life Data Rate Topology Cellular Very Long Low High Centralized Wifi Short Very Low Very High Decentralized RF Very Short Medium Medium P2P LPWAN Long Very High Very Low Decentralized Mesh Medium High Low Distributed Inversely correlated
  • 23. 23 Rest of the Internet Stack today...
  • 24. 24 2) Security Vulnerability ➢ Vulnerable Cryptography ➢ Data can be intercepted OTA ➢ Examples: ○ Dyn Inc. ○ Factories ○ Medical Devices ○ Smart Cars
  • 26. ➢ Distributed Ledger ○ REDUCES SINGLE POINT OF FAILURE ○ Use cases: IDoT, Data Encryption, Audit Trail ➢ Type of Propagated Data: ○ Transactions ○ Blocks 26 Basics
  • 27. ➢ Public Key Cryptography ○ Sign and create Digital Signatures ○ Ex: transaction, software update, ID ➢ Consensus Mechanism ○ Set of confirmed and verified transactions for distributed ledgers ○ PoW/PoS/others... 27 Properties of Blockchain
  • 28. 28 Blockchain/DLT Avg Tx Size Max Block Size Avg Block Interval Bitcoin < 1 kB 1 MB 10 min Bitcoin Cash < 1 kB 8 MB 10 min Litecoin < 1 kB 4 MB 2.5 min Ethereum Up to ~53,000 Gas limit (for SC) 3,141,592 Gas (~800 kB) 15-17 sec IOTA 1 - 2 kB* - -
  • 29. ➢ RACE TO FIRST! ➢ Need Power Supply ➢ Need Fastest Connectivity ➢ Need Fastest Computing ➢ Biggest Mining Pools 29 Mining (PoW)
  • 32. 32 Blockchain/DLT layer on top of IoT Connectivity layer, below Data or Application layer
  • 34. ➢ Early blockchain + IoT startup, founded in 2012 ➢ Vertical SPADE Framework ➢ Filament Tap device/beacon ➢ Use telehash for distributed endpoint device comms ➢ Device discovery over Wifi, radio, and Bluetooth ➢ Blockname: address on Bitcoin ➢ Blocklet: L2 accounting on BTC ➢ Use cases: rails, freights, and other infrastructure 34 Filament
  • 35. ➢ Comprehensive IoT-DLT app platform provider ➢ IoT CMS, Device Registry, Data Collection/Analytics ➢ Supports ZigBee, ZWave, BLE, BT, and UWB ➢ Use Cases: Dynamic EV Charging, Smart City parking/utilities metering ➢ Using IOTA feeless network 35 Netobjex
  • 36. ➢ Wisdom Alter Label Trade Organizations and Networks ➢ VIOT (Value IoT) ➢ Phase 1.0: dev RFID tags to placed onto materials not accessible to the Internet ➢ Use Cases: retail, warehousing, logistics (P 2.0), smart manufacturing (P 3.0) 36 WaltonChain
  • 37. ➢ Decentralized ISPs (monopolistic) ➢ Incentivized Community Mesh ➢ Create software for existing hardware to connect to each other ➢ Hops with best AND cheapest paths ➢ IoT connectivity depending on hop distances (i.e. LPWAN large hops) ➢ Uses Ethereum blockchain ➢ IoT network agnostic 37 Althea Mesh
  • 38. ➢ Sensor (i.e. temperature logger) records environment conditions while package is in transit ➢ Uses BLE or NFC ➢ Blockchain agnostic, starting with Ethereum ➢ Use Cases: pharmaceutical supply chain 38 Modum
  • 41. 41 AI, bots, and DAOs the next layer?
  • 44. ➢ Front-End Layer ○ Websites, AR/VR, Robotics, Smart Cities, Industry 4.0, Space Tech ➢ New Software applications ○ With built-in AI/IoT/DLT libraries ➢ AI Semantic Layer ○ Google DL/NN ➢ Data Aggregation Layer ○ MAM, MQTT, XMPP, JSON ➢ Blockchain/DLT Trustless Consensus Layer ○ Bitcoin, Ethereum, NEO, IOTA, Ripple, Litecoin, Monero ➢ IoT Connectivity Layer ○ Cellular, Wifi, LPWAN, Mesh ➢ Physical Layer (Wired/Wireless) ○ Radio frequencies, Fiber optics, Quantum tunneling? 44 Possible Web 3.0 Stack?