How new Low Power Wireless Area Networks (LPWAN's) are aggressively challenging the Internet of Things status quo and how industry can exploit this opportunity. Specifically, the ability to query IoT endpoints in real time, improve network capacity and data rates, and the ability to deploy a filesystem in order to create a "Hadoop"-like real-time query capability at the edge of the network is explored.
Wireless IoT connections fall into two low-power camps: local area and wide area. Historically the two have not overlapped but advances in networking technologies make it possible for wide area technologies to perform the same functions as local area technologies with no additional cost or feature "sacrifice".
Overview of Haystack's DASH7 technology, features, & applications. Includes information on real-time outdoor and indoor location. Discussion of Haystack support for Semtech's LoRa LPWAN radio.
This presentation is based on the IETF draft draft-farrell-lpwan-lora-overview-01 and provides a brief overview of the LoRaWAN architecture. It was presented at the LPWAN WG meeting in IETF 98.
Check out slides presented by Mo Haghighi, Research Scientist at Intel Labs Europe, which explore how to solve urban challenges at the Olympic Park. These slides were presented at Digital Catapult's LPWAN London meetup.
A brief summary of the LPWAN wireless protocols and a more technical overview of LoRa (Long-Range) starting from PHY and throughout the rest of the LoRaWAN stack emphasizing its implications on IoT platforms.
Talk held at:
Winter School 2017 on "Internet of Things: Security, Communication & Application Challenges" organized by the Computing Systems, Security and Networks (CSSN) Research Lab of the Alexander TEI of Thessaloniki (ATEITHE) and the IEEE ATEITHE Student Branch
Wireless IoT connections fall into two low-power camps: local area and wide area. Historically the two have not overlapped but advances in networking technologies make it possible for wide area technologies to perform the same functions as local area technologies with no additional cost or feature "sacrifice".
Overview of Haystack's DASH7 technology, features, & applications. Includes information on real-time outdoor and indoor location. Discussion of Haystack support for Semtech's LoRa LPWAN radio.
This presentation is based on the IETF draft draft-farrell-lpwan-lora-overview-01 and provides a brief overview of the LoRaWAN architecture. It was presented at the LPWAN WG meeting in IETF 98.
Check out slides presented by Mo Haghighi, Research Scientist at Intel Labs Europe, which explore how to solve urban challenges at the Olympic Park. These slides were presented at Digital Catapult's LPWAN London meetup.
A brief summary of the LPWAN wireless protocols and a more technical overview of LoRa (Long-Range) starting from PHY and throughout the rest of the LoRaWAN stack emphasizing its implications on IoT platforms.
Talk held at:
Winter School 2017 on "Internet of Things: Security, Communication & Application Challenges" organized by the Computing Systems, Security and Networks (CSSN) Research Lab of the Alexander TEI of Thessaloniki (ATEITHE) and the IEEE ATEITHE Student Branch
Recently published research (July 2019) has described a model for Bit Error Rate (BER) analysis of the LoRa PHY over a Rayleigh flat fading channel. Rayleigh flat fading channels are observable in environments where there’s a lot of multipath interference (e.g. dense urban, indoor, etc).
The LoRa PHY experiences significant degradation of sensitivity in Raleigh flat fading channels
Experimentation in an environment exhibiting Raleigh flat fading validates the model from the research.
Haystack XR2 encoding for LoRa was observed to yield roughly 30 dB gain to Packet Error Rate (PER) vs. default LoRaWAN encoding, in said experiment.
Haystack XR2 encoding for LoRa can yield enormous gains to efficiency, Quality of Service (QoS), and channel density for LoRa deployments in dense urban, indoor, or other environments where multipath dominates.
Haystack's new hardware for Semtech's LoRa includes on-demand GPS, up to 36 mile range, 3-5 year battery life, and no subscriptions. Demo kits now available.
Emerging LTE standards for IoT lack a networking stack for true real-time, low power networking. A simple add-on to the existing TCP/IP stack makes a difference.
An Overview of LoRA, Sigfox, and IEEE 802.11ahFaheem Zafari
The slides provide an insight into different IoT and M2M specific protocols. Their main features and differences are highlighted. Potential research area in IEEE 802.11ah is identified. The slides also identifies the coexistence problem between Lora and Sigfox
CNAM course part 2, Introduction to Internet of Things (IoT), and M2M (Machine to Machine)...Long Range Low Power (LRLP) Networks (SigFox, LoRA), 4G LTE, Smart Grids, and Intelligent Transport System (ITS) / SmartCar
Overview of which LPWAN technologies (LoRa, Sigfox, Weightless, etc.) are right for various IoT applications. Clear look at the pros and cons of each technology.
LPWAN Technologies for Internet of Things (IoT) and M2M ScenariosPeter R. Egli
Rapid technological advances in the past made possible the miniaturization of network devices to meet the cost and power consumption requirements in IoT and M2M scenarios. What is missing in this picture is a radio technology with both long range capability and a very low cost footprint. Existing radio technologies such as 3G/4G or Short Range Radio do not aptly meet the requirements of IoT scenarios because they are either too expensive or are not able to provide the required range. Other wireless technologies are geared towards high bandwidth which is in most cases not a requirement for IoT.
Emerging LPWAN technologies such as ETSI LTN or LoRAWAN are poised for filling the gap by providing long range (up to 40km) and low power connectivity. These technologies allow low cost radio devices and operation thus enabling scaling up IoT applications.
Recently published research (July 2019) has described a model for Bit Error Rate (BER) analysis of the LoRa PHY over a Rayleigh flat fading channel. Rayleigh flat fading channels are observable in environments where there’s a lot of multipath interference (e.g. dense urban, indoor, etc).
The LoRa PHY experiences significant degradation of sensitivity in Raleigh flat fading channels
Experimentation in an environment exhibiting Raleigh flat fading validates the model from the research.
Haystack XR2 encoding for LoRa was observed to yield roughly 30 dB gain to Packet Error Rate (PER) vs. default LoRaWAN encoding, in said experiment.
Haystack XR2 encoding for LoRa can yield enormous gains to efficiency, Quality of Service (QoS), and channel density for LoRa deployments in dense urban, indoor, or other environments where multipath dominates.
Haystack's new hardware for Semtech's LoRa includes on-demand GPS, up to 36 mile range, 3-5 year battery life, and no subscriptions. Demo kits now available.
Emerging LTE standards for IoT lack a networking stack for true real-time, low power networking. A simple add-on to the existing TCP/IP stack makes a difference.
An Overview of LoRA, Sigfox, and IEEE 802.11ahFaheem Zafari
The slides provide an insight into different IoT and M2M specific protocols. Their main features and differences are highlighted. Potential research area in IEEE 802.11ah is identified. The slides also identifies the coexistence problem between Lora and Sigfox
CNAM course part 2, Introduction to Internet of Things (IoT), and M2M (Machine to Machine)...Long Range Low Power (LRLP) Networks (SigFox, LoRA), 4G LTE, Smart Grids, and Intelligent Transport System (ITS) / SmartCar
Overview of which LPWAN technologies (LoRa, Sigfox, Weightless, etc.) are right for various IoT applications. Clear look at the pros and cons of each technology.
LPWAN Technologies for Internet of Things (IoT) and M2M ScenariosPeter R. Egli
Rapid technological advances in the past made possible the miniaturization of network devices to meet the cost and power consumption requirements in IoT and M2M scenarios. What is missing in this picture is a radio technology with both long range capability and a very low cost footprint. Existing radio technologies such as 3G/4G or Short Range Radio do not aptly meet the requirements of IoT scenarios because they are either too expensive or are not able to provide the required range. Other wireless technologies are geared towards high bandwidth which is in most cases not a requirement for IoT.
Emerging LPWAN technologies such as ETSI LTN or LoRAWAN are poised for filling the gap by providing long range (up to 40km) and low power connectivity. These technologies allow low cost radio devices and operation thus enabling scaling up IoT applications.
Global Azure Bootcamp 2017 - Azure IoT Hub with LoRa ConnectivityAndri Yadi
Should have posted 1 year ago. In this Global Azure Bootcamp 2017, I had a chance to share how to connect IoT devices to Azure IoT Hub by leveraging LoRa/LoRaWAN connectivity.
The purpose of this guide is to explain the enhancements in 802.11ac standard and provide guidance towards
migrating to 802.11ac with respect to network design, deployment, and configuration best practices for campus environments like offices, university campus, and dorm environments.
This guide covers the following topics in detail:
- Summary of Recommendations
- 802.11ac Features and Benefits
- 802.11ac Planning and Deployment Guidelines
- Best Practice Recommendations for Deploying 802.11ac WLANs
This guide is intended for those who are willing to learn about the 802.11ac standards and understand the best practices in deploying a high-performing 802.11ac
3 hours course on IEEE and IETF protocols introducing the 6TiSCH architecture and the RPL routing protocol. Course given at telecom Bretagne on Feb 12th 2014
Access point or wireless router general questions tell youIT Tech
A wireless access point, or AP, adds Wi-Fi capability to a wired network by bridging traffic from workstations onto an Ethernet LAN.
A wireless router combines broadband router capabilities--such as acting as the gateway between the internet and a local area network--as well as wireless AP features, inside a single device.
...
What are the Benefits of LoRaWAN Technology?
Today, we talk about the seven benefits of LoRaWAN technology application.
In December 2021, LoRaWAN officially became the ITU International Standard for Low Power Wide Area Networks and has been endorsed by the International Telecommunication Union (ITU).
LoRaWAN is developed as an open standard and has been widely recognized by the low power wide area network community. The rapid adoption of this standard for global IoT low-power wide-area networks is a testament to its universality.
LoRaWAN is now a very popular LPWA communication standard that uses unlicensed radio spectrum in the ISM (Industrial, Scientific, Medical) band at frequencies ranging from approximately 433 MHz to 868 MHz, 915 MHz (standards vary around the world).
In the IoT connectivity environment, in addition to smart home networking and office space scenarios, many IoT devices will be connected and communicated in remote environments where the new environment will be inaccessible and require power connections due to M2M transmission coverage limitations.
Alan Woolhouse, Weightless Speaking at Tenerife Tech and Biz - Dec 2013tenerifetechandbiz
Alan Woolhouse speaking at the Tenerife Tech and Biz 2013 end of year special event in La Laguna.
On Weightless the emerging standard from the Weightless Special Interest Group for Machine to Machine (M2M) communications for the Internet of Things (IoT).
See Also:
http://www.weightless.org/about/what-is-weightless
http://www.meetup.com/TenerifeTech/events/156426712/
WiFi 6, 802.11ax, 5G, LTE & How They'll Coexist: A discussion of current and future mobile technologies, how they're alike, how they'll complement one another and coexist, and how they'll enable the future IoT Network and the Network of Everything.
Italy Agriculture Equipment Market Outlook to 2027harveenkaur52
Agriculture and Animal Care
Ken Research has an expertise in Agriculture and Animal Care sector and offer vast collection of information related to all major aspects such as Agriculture equipment, Crop Protection, Seed, Agriculture Chemical, Fertilizers, Protected Cultivators, Palm Oil, Hybrid Seed, Animal Feed additives and many more.
Our continuous study and findings in agriculture sector provide better insights to companies dealing with related product and services, government and agriculture associations, researchers and students to well understand the present and expected scenario.
Our Animal care category provides solutions on Animal Healthcare and related products and services, including, animal feed additives, vaccination
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
Instagram has become one of the most popular social media platforms, allowing people to share photos, videos, and stories with their followers. Sometimes, though, you might want to view someone's story without them knowing.
2. WHO WE ARE
We began driving innovations in the internet of things over 10 years
ago at our last company, Savi Technology and believe that the best way
to connect networks with many battery-powered sensors is not through
WiFi, Bluetooth, or cellular, but via something better.
We invented a better way of connecting things using very low power
and over long distances, a technology called DASH7. Our company also
builds tools, API’s, and software to make DASH7 more accessible to
developers.
We recently began receiving inquiries about a new class of IoT
modulation technologies called Low Power Wide Area Networks. We
think LPWAN’s are exciting and this presentation tells you why.
3. LOW POWER STATUS QUO
30 feet 3 miles300 feet
Short Range /
“WPAN”
Medium Range
4. NEW CHALLENGERS
Short Range /
Local Area
Medium Range
up to 30 Miles
Long Range /
“LPWAN”
30 feet 3 miles300 feet
5. RANGE IS MASSIVELY BETTER
up to 30 Miles
Long Range /
“LPWAN”
30 feet 3 miles300 feet
Short Range /
Local Area
Medium Range
6. 30 feet 300 feet 5 Kilometers
Long Range /
“LPWAN”
up to 30 Miles
FOR THE SAME PRICE
Short Range /
Local Area
Medium Range
Low Power Wide Area Networks
• Very long range
• Multi-year AA battery life
• Low cost: sub-$10 per node
7. THE FUTURE OF THE IOT
10 meters 5 Kilometers100 meters
Short Range /
Local Area
Medium Range
Long Range /
“LPWAN”
up to 50 Kilometers
We believe most wireless sensor networks will be LPWAN-
based, as LPWAN’s offer comparable pricing and power
consumption to legacy WPAN/WLAN options, but with:
• Significantly improved range and signal coverage
• Better monetization opportunities for customers
8. KEYS TO LPWAN LONG RANGE
+ +Sub-1GHz
Radio Bands
Really Low
Bit Rates
Frequency
Spreading
Longer wavelengths
allow vastly longer
range and lower
power consumption
Common bands
include 915, 868,
433, and 169 MHz.
Technology being
deployed in most
LPWAN modulation
schemes use some
form of spreading to
combat interference
Low data rates of just
a few hundred bps
increase range, but
as a result the
packets get very
“long”, which leads to
new challenges.
9. + +Sub-1GHz
Radio Bands
Really Low
Bit Rates
Frequency
Spreading
Longer wavelengths
allow vastly longer
range and lower
power consumption
Common bands
include 915, 868,
433, and 169 MHz.
Technology being
deployed in most
LPWAN modulation
schemes use some
form of spreading to
combat interference
Low data rates of just
a few hundred bps
increase range, but
as a result the
packets get very
long. This leads to
new challenges.
KEYS TO LPWAN LONG RANGE
These technologies for achieving long range are
old and well-established. Advances in
semiconductor technology over the last 40 years
are what enable low-cost and low-power.
So barriers-to-entry are also low …
10. COMPETITION ARRIVES …
Long Range /
“LPWAN”
up to 30 Miles30 feet 3 miles300 feet
Short Range /
Local Area
Medium Range
11. up to 50 Kilometers50 Kilometers
Long Range /
“LPWAN”
Long Range /
“LPWAN”
Medium Range
up to 30 Miles30 feet 3 miles300 feet
… AND INTEGRATORS
Short Range /
Local Area
12. 30 feet 3 miles300 feet
AND DOZENS OF STARTUPS
Short Range /
Local Area
Medium Range
14. BUT DEVELOPERS HESITATE
1. Choosing wisely among multiple LPWAN suppliers,
including some which may disappear in a year or two,
is difficult.
2. There is no LPWAN PHY standard.
In fact, the three prominent PHYs are radically different.
3. No standardized networking stack.
4. Market is dominated by high cost, single-vendor silicon.
5. Scalability of some LPWAN technologies
15. MOST LPWAN TECH IS PHYSICAL
LAYER ONLY
15
OSI Layer
7 Application Undefined Undefined Undefined Undefined
6 Presentation Undefined Undefined Undefined Undefined
5 Session Undefined Undefined Undefined Undefined
4 Transport Undefined Undefined Undefined Undefined
3 Network Undefined Undefined Undefined Undefined
2 Data Link Partial Definition Undefined Partial Definition Undefined
1
Physical
“PHY”
LoRa @
169 - 960 MHz
Various @
315 - 930 MHz
SigFox @ 900, 868
MHz
SigFox and
Generic PHYs
Example LPWAN PHY’s
16. MOST LPWAN TECH IS PHYSICAL
LAYER ONLY
16
OSI Layer
7 Application Undefined Undefined Undefined Undefined
6 Presentation Undefined Undefined Undefined Undefined
5 Session Undefined Undefined Undefined Undefined
4 Transport Undefined Undefined Undefined Undefined
3 Network Undefined Undefined Undefined Undefined
2 Data Link Partial Definition Undefined Partial Definition Undefined
1
Physical
“PHY”
LoRa @
169 - 960 MHz
Various @
315 - 930 MHz
SigFox @ 900, 868
MHz
SigFox and
Generic PHYs
Example LPWAN PHY’s
The physical layer defines the way bits are
converted into radio signals: encoding, signal
modulation, the radio frequency to use, and
related low-level parameters.
17. Partial Definition Partial Definition
1
Physical
“PHY”
LoRa @
169 - 960 MHz
Various @
315 - 930 MHz
SigFox @ 900, 868
MHz
SigFox and
Generic PHYs
YET CUSTOMERS NEED MORE
THAN JUST PHYSICAL LAYER
• Addressing Options
• Networking Options
• Session Options
• Device Wakeup
• Authentication
• Encryption
• Device Filesystem
• Power Management
• Location-based Services
• Sensor Options
• Application API’s
• Device Management
UNDEFINED IN PHYSICAL LAYER
18. 18
OSI Layer
7 Application
Undefined Undefined Undefined Undefined
6 Presentation
5 Session
4 Transport
3 Network
2 Data Link Partial Definition Partial Definition
1
Physical
“PHY”
LoRa @
169 - 960 MHz
Various @
315 - 930 MHz
SigFox @ 868, 915
MHz
SigFox and
Generic PHYs
Example LPWAN PHY’s
HISTORIC OPPORTUNITY
19. HISTORIC OPPORTUNITY
19
OSI Layer
7 Application
Undefined Undefined Undefined Undefined
6 Presentation
5 Session
4 Transport
3 Network
2 Data Link Partial Definition Partial Definition
1
Physical
“PHY”
LoRa @
169 - 960 MHz
Various @
315 - 930 MHz
SigFox @ 868, 915
MHz
SigFox and
Generic PHYs
Example LPWAN PHY’s
Standardizing layers 2-6 will
accelerate LPWAN adoption
worldwide and basically make
many people happy.
20. THIS IDEA MAKES SENSE
1. Avoids fragmentation. Too many competing stacks over different PHY’s = slow growth.
2. Proprietary stacks are not portable across PHY’s. For example, SigFox’s stack only works
with SigFox’s own unique PHY and operating configuration. Similarly, stacks like
LoRaWan are limited to a single provider of silicon.
3. “Roll-your-own” stack inhibits developers and customers. A common stack gives
developers and customers the option to choose among PHY technologies and focus on
the application layer, while lowering maintenance and support costs.
4. Interoperability. Standardizing provides key elements of interoperability, creating new
product and application opportunities like multi-PHY gateways and endpoints, similar to
WiFi.
5. Performance improvements. Roll-your-own stacks will be slower to respond to
marketplace innovations as well as among PHY layer suppliers. A common stack makes
the trajectory of LPWAN’s more assured!
21. Requirement
Provide Robust
Networking Features
P2P, broadcast, multicast, and IP addressing. Ad-hoc networking. Rapid device
discovery. Deployable across global ISM bands, not just USA or EU. Improves
network capacity. Real-time locating system support.
Real-Time Data Collection
Some IoT technologies achieve long battery life using huge time intervals
between messages. Customers want their data when they want it and want to be
able to “Google” their network for a diverse range of criteria and data types.
Preserve or Improve
Long Range Messaging
Sounds obvious, but not all stacks can support the long range or cellular-like
design of LPWAN’s with a fully two-way system that does not compromise battery
life or network capacity.
Provide Maximum Practical
Security & Privacy
This is a big topic, but a LPWAN stack must at a minimum support a) MAC-layer
address encryption, b) AES, RSA, or ECC data encryption standards, and c) devices
must remain silent until awoken by an authorized device.
Preserve or Improve
Battery Life
It’s not enough to support long-range messaging. A stack must have a neutral or
positive effect on battery life without compromising latency or range.
WHAT THIS STACK HAS TO DO
(At a minimum)
22. Requirement 6lowPAN LoRaWAN Actility Linklabs
Haystack/
DASH7
Provide Robust
Networking Features
Yes Some Some Some Yes
Real-Time Data Collection No No No No Yes
Preserve or Improve
Long Range Messaging
No Yes Yes Yes Yes
Provide Maximum Practical
Security & Privacy
Yes No No No Yes
Preserve or Improve
Battery Life
No No No Some Yes
For a more detailed comparison, click here.
HOW TODAY’S STACKS MEET
FUTURE LPWAN REQUIREMENTS
23. • Combination of low-power, long-
range, low-latency, high security,
universal interoperability, and IP-like
data model is unique to DASH7.
• Lower Layers provide low-power,
long-range, low-latency, high security.
• Filesystem & Session are “glue” that
provide universal interoperability. No
Application Profiles
• Works with any application protocol
that can ride on UDP, SCTP, or NDEF/
NFC (e.g. CoAP, MQTT, AllJoyn…
many others).
Lower Layers
Application Layer
Physical
Data Link
Networking (M2NP)
Transport (M2QP)
SessionModule
Standard Apps Custom Apps
ALP Framework
FilesystemModule(M2FS)
M2DEF
RF
UI (opt.)
BASIC ARCHITECTURE
25. Error Correction
Technology
None
Reed Solomon
(RS Code)
Voyager Code Turbocode LDPC
Used By
SigFox, ZigBee,
6LoWPAN, etc.
LoRa,
Data Storage
Voyager 2,
Haystack/DASH7
3G Cellular 4G Cellular
Signal Gain
(10-6
BER)
None
4 dB
(250%)
8 dB
(630%)
9 dB
(794%)
9.5 dB
(891%)
Supports Variable
Length Packet
Yes Yes Yes No No
Underlying
Technology
None
Iterated
Base-32
RS Code
Concatenated
Viterbi Code
with Base-256
RS Code
Fully Recursive
Convolutional
Code
Low Density
Parity Check
(LDPC)
Introduction Date
1850’s
(Morse Code)
1960’s
(Data Storage)
1980’s
(NASA)
1990’s
(Cellular)
2000’s
(Cellular)
1. ERROR CORRECTION
25
26. Error Correction
Technology
None
Reed Solomon
(RS Code)
Voyager Code
Used By
SigFox, ZigBee,
6LoWPAN, etc.
LoRa,
Data Storage
Voyager 2,
Haystack/
DASH7
Signal Gain
(10-6
BER)
None
4 dB
(250%)
8 dB
(630%)
Supports Variable
Length Packet
Yes Yes Yes
Underlying
Technology
None
Iterated
Base-32
RS Code
Concatenated
Viterbi Code
with Base-256
RS Code
Introduction Date
1850’s
(Morse Code)
1960’s
(Data Storage)
1980’s
(NASA)
26
• Haystack developed the
Voyager Code on ARM
• All things being equal, a
message transmitted
using DASH7 arrives in
less than half the time of
a LoRaWan message, or
at worst 1/6th of a
SigFox message.
• Reduce power by
transmitting less.
• Increase capacity of cell
by transmitting less.
1. ERROR CORRECTION
27. 27
1. ERROR CORRECTION
• Haystack developed the
Voyager Code on ARM
• All things being equal, a
message transmitted
using DASH7 arrives in
less than half the time of
a LoRaWan message, or
at worst 1/6th of a
SigFox message.
• Reduce power by
transmitting less.
• Increase capacity of cell
by transmitting less.
Error Correction
Technology
None
Reed Solomon
(RS Code)
Voyager Code
Used By
SigFox, ZigBee,
6LoWPAN, etc.
LoRa,
Data Storage
Voyager 2,
Haystack/
DASH7
Signal Gain
(10-6
BER)
None
4 dB
(250%)
8 dB
(630%)
Supports Variable
Length Packet
Yes Yes Yes
Underlying
Technology
None
Iterated
Base-32
RS Code
Concatenated
Viterbi Code
with Base-256
RS Code
Introduction Date
1850’s
(Morse Code)
1960’s
(Data Storage)
1980’s
(NASA)
If you like LPWAN’s but are concerned about channel capacity or
possible tradeoffs between power consumption and network latency,
here is a way to accelerate LPWAN message speeds while preserving
LPWAN’s low power profiles.
28. 2. REAL-TIME DATA
1.
2.
3.
4.
5.
• WAN Endpoints send data to base station
at predefined intervals, at least 10 minutes.
• A cloud service buffers the data.
• User API is the cloud service, so user gets
data that’s at least 10 minutes old.
2.
2.
2.
2.
2.
• WAN base station can send bidirectional
queries to any or all endpoints at any time.
• Queries typically run in 1-30 seconds.
• User API can schedule queries, so user can
get data that is only seconds old.
SigFox &
LoRaWAN
Model
DASH7
Model
1.
29. 2. REAL-TIME DATA
1.
2.
3.
4.
5.
• WAN Endpoints send data to base station
at predefined intervals, at least 10 minutes.
• A cloud service buffers the data.
• User API is the cloud service, so user gets
data that’s at least 10 minutes old.
SigFox &
LoRaWAN
Model
• Mobile Asset Tracking:
10 minute old data is useless
• Public Safety Applications:
10 minute old data is useless
• There Are Multiple WAN Operators:
Difficult to know who’s cloud is
proxying the data you care about.
• If Base Station is Mobile:
Synchronized WAN model doesn’t
even work for this.
This Model Fails For…
30. HOW DASH7 QUERIES WORK
30
When an endpoint (tag) gets
a query request, the
algorithm it uses for flow &
congestion control is based
on the quality of the query.
This is a technology unique
to DASH7, which allows very
large numbers of devices to
coexist without interference.
OSI Layer
7 Application Core-apps + NDEF + UDP
6 Presentation
DASH7 Core
low power
low latency
low cost
5 Session
4 Transport
3 Network
2 Data Link
1 Physical Long range, Low Power
CoreLayersWorkTogether
forMaximumMACefficiency
31. HOW DASH7 QUERIES WORK
DASH7 Applications vs. 6loWPAN Applications
DASH7 Apps Ask:
“What are you looking for?”
6loWPAN Apps Ask:
“Who gets it?”
I need to find everyone, now, who wants to
go to floor 10.
I need data from all sensors within 5 miles
that check for vacant parking spaces.
All devices that came off the boat from
Taipei shall go to RF Channel 04 and await
further instructions.
Deliver a message to the device with
address 05:85:245:192:96:0:147:1 to turn
its lights off.
Deliver a message to the devices with
group address 124:0:8:255:37:160:0:1
instructing them to report sensor logs.
Ping device 63:102:0:80:128:0:17:44 to see
if it is still in the network.
32. HOW DASH7 QUERIES WORK
DASH7 Applications vs. 6loWPAN Applications
DASH7 Apps Ask:
“What are you looking for?”
6loWPAN Apps Ask:
“Who gets it?”
I need to find everyone, now, who wants to
go to floor 10.
I need data from all sensors within 5 miles
that check for vacant parking spaces.
All devices that came off the boat from
Taipei shall go to RF Channel 04 and await
further instructions.
Deliver a message to the device with
address 05:85:245:192:96:0:147:1 to turn
its lights off.
Deliver a message to the devices with
group address 124:0:8:255:37:160:0:1
instructing them to report sensor logs.
Ping device 63:102:0:80:128:0:17:44 to see
if it is still in the network.
If you envision a future with thousands or even millions of IoT nodes in a
metropolitan area, here is a way to query many nodes without receiving
thousands of unwanted messages from nodes that you never needed to
hear from in the first place
33. 33
REAL-TIME MAKES A
BIG DIFFERENCE
LoRaWan Haystack / DASH7
Data Access Method Periodic Beacon
Event-based
Query
Data Latency: Best Case 2 minutes 1 second
Data Latency: Worst Case 4.5 hours 10 seconds
System power for Best Case Latency
(150 mW active power)
1.05 mW 0.075 mW
Data Latency for equivalent power 34 minutes 1 second
34. 3. A “HADOOP" FOR THE IOT
• It’s a non-relational distributed database
engineered for sub-$1 microcontrollers.
• It’s built-into the data stack, so it works
directly with DASH7 networking to provide
unmatched data collection efficiency.
• Example: “Tell me the names and location of
every cow on my ranch that has not moved
in the past 8 hours”
• Example 2: “Send me a notification
whenever a 3+ year old cow moves”
34
The DASH7 file system provides a consistent data model & API allows distribution of data
and query jobs, interoperably, in real-time, across a WAN-full of Endpoints
DASH7 Data Stack
PHY/MAC/NET
Sessioning
Transport Layer
Applications
Filesystem
35. 3. A “HADOOP" FOR THE IOT
• It’s a non-relational distributed database
engineered for sub-$1 microcontrollers.
• It’s built-into the data stack, so it works
directly with DASH7 networking to provide
unmatched data collection efficiency.
• Example: “Tell me the names and location of
every cow on my ranch that has not moved
in the past 8 hours”
• Example 2: “Send me a notification
whenever a 3+ year old cow moves”
35
The DASH7 file system provides a consistent data model & API allows distribution of data
and query jobs, interoperably, in real-time, across a WAN-full of Endpoints
DASH7 Data Stack
PHY/MAC/NET
Sessioning
Transport Layer
Applications
Filesystem
A common file system for the
IoT would allow us to potentially
spider & search an open IoT.
36. 3. A “HADOOP" FOR THE IOT
• It’s a non-relational distributed database
engineered for sub-$1 microcontrollers.
• It’s built-into the data stack, so it works
directly with DASH7 networking to provide
unmatched data collection efficiency.
• Example: “Tell me the names and location of
every cow on my ranch that has not moved
in the past 8 hours”
• Example 2: “Send me a notification
whenever a 3+ year old cow moves”
36
The DASH7 file system provides a consistent data model & API allows distribution of data
and query jobs, interoperably, in real-time, across a WAN-full of Endpoints
DASH7 Data Stack
PHY/MAC/NET
Sessioning
Transport Layer
Applications
Filesystem
If you ever envisioned an IoT with endpoints that are more like smart,
data rich information servers than “dumb” terminals, here is the state-of-
the-art way of querying at the edge of the network while minimizing
network latency, channel crowding, and unnecessary power
consumption.
37. so you can either
play the lpwan
hunger games …
38. OR USE HAYSTACK & DASH7
1. Real Time Performance
2. Increased Range
3. Increased Battery Life
4. Increased Network Capacity
5. Increased Privacy and Security
6. More Use Case Options
7. Lower Costs
39. ABOUT OUR COMPANY
1. Authors of the DASH7 specification, the most advanced low power
networking protocol available. Download it here.
2. Authors of OpenTag, the open source firmware stack for DASH7 that
compiles into less than 20kb.
3. Creators of Haystack DASH7 developer tools, API’s, sample code,
reference designs, and more.
4. Creators of HayTag (in development) and other DASH7 products.
5. Founders of the industry non-profit DASH7 Alliance.
www.haystacktechnologies.com
40. SEE YOU SOON!
Contact: Patrick Burns
pat@haystacktechnologies.com
@patdash7
see
you
soon!
www.haystacktechnologies.com