Towards a Resource Slice Interoperability Hub for IoT

Enabling Edge Analytics of IoT Data: The Case of LoRaWAN Hong-Linh Truong Faculty of Informatics, TU Wien, Austria [email protected] http://rdsea.github.io @linhsolar

Global IoT Summit 2018, 4 April 2018, Bilbao

1

Acknowledgements: Supported by

H2020 Inter-IoT (http://www.inter-iot-project.eu/) Tran-Vu Pham, Danh Pham, Phuong Nam Ho and Xuan-Hiep Huynh for discussions on LoRaWAN and aqua/argiculture monitoring in Vietnam

Global IoT Summit 2018, 4 April 2018, Bilbao

2

Outline  State of the art, motivating examples and approach  IoTRACE key concepts, architecture and main components  Prototype and illustrating examples  Conclusions and future work Global IoT Summit 2018, 4 April 2018, Bilbao

3

New network technologies for large-scale monitoring with IoT  Large-scale deployment of low-energy sensing devices with long distance communications 

LoRaWAN, SigFox and NB-IoT

 Currently two main deployment models 

Big providers of IoT infrastructures and platform connectivity 



like Sigfox, telcos or government infrastructures

Community with many stakeholders 

like The Things Network (TTN)

 But these deployment models are not flexible enough w.r.t IoT data services and edge analytics Global IoT Summit 2018, 4 April 2018, Bilbao

4

LoRaWAN  We focus on LoRaWAN because of its availability and investment cost in developing country context

 Suitable for us to work on large-scale geographic areas and with no requirements of high bandwidth    

Agriculture/Aquaculture productivity and safety monitoring Saltwater intrusion impact monitoring Wastewater monitoring Smart city monitoring

Global IoT Summit 2018, 4 April 2018, Bilbao

5

Data/analytics requirements and issues 

Farmers want to buy data and might provide/share devices but only related to their own local space



Sharing data for local view among farmers/local agencies and for global view needed by government/agency



Cloud is expensive when there is no need for farmers/local view



LoRAWAN network-centric designs:  Centralized analytics is not suitable  IoT data-as-a-service and IoT infrastructure-as-a-service are not well support with multiple stakeholders Global IoT Summit 2018, 4 April 2018, Bilbao

Picture from Tran-Vu Pham for shrimp/fish/lobster farms monitoring

6

Why do we augment LoRaWAN?  Support IoT service models: 

data-as-a-service model and infrastructure-as-aservice at the edge

 Support edge analytics with IoT data  Work along with current LoRaWAN features for clouds: edge + cloud  Focus on data analytics workflows as the main LoRaWAN applications  We concentrate on software architecture design and configuration for edge analytics Global IoT Summit 2018, 4 April 2018, Bilbao

7

IoTRACE Framework

Enable edge computing

Key design: making data available in the edge requires many changes in data flows and stakeholders management Global IoT Summit 2018, 4 April 2018, Bilbao

8

Stakeholders management for IoT data services

 Model stakeholders to support IoT data-as-aservice + IoT infrastructure-as-a-service 

Devices + data contracts

 Enable extraction of data at the edge for edge computing

Global IoT Summit 2018, 4 April 2018, Bilbao

9

Network Server enabling edge computing

 Forward message to edge analytics servers  Extract application data at the edge Global IoT Summit 2018, 4 April 2018, Bilbao

10

Extracting data in the edge Limitation mixed model: only subscription of devices

Global IoT Summit 2018, 4 April 2018, Bilbao

11

Current prototype  Testing purposes: emulated devices/sensors 



Using LoRaWAN python library (https://github.com/jeroennijhof/LoRaWAN )to create LoRa messages Send to gateway via queue or to Packet Forwarder using LoRa-Gateway-Bridge (https://www.loraserver.io/lora-gatewaybridge/overview/)

 Emulating sensors read real dataset or emulate real sensors

Global IoT Summit 2018, 4 April 2018, Bilbao

12

Current prototype  Gateway and Network Server using python and MQTT  

Only for proof-of-concept of the features we augment Subscribers and data contracts managed by MongoDB

 Edge analytics components and functions:  

Python-based libraries and queues Javascript is being developed

Global IoT Summit 2018, 4 April 2018, Bilbao

13

Simple example of analytics IoTRACE python libraries for edge computing

Analyti cs

deploy

Global IoT Summit 2018, 4 April 2018, Bilbao

14

Node-RED flows accessing edge data queues  Edge analytics is written in Node-RED  Application user deploys adaptor to the edge server working with Network Server

Global IoT Summit 2018, 4 April 2018, Bilbao

15

Cross edge cloud analytics example Cloud analytics

Example Apex code We still need to mange two sides separately The queue identification for linking the edge to cloud is application-specific Global IoT Summit 2018, 4 April 2018, Bilbao

16

Conclusions and future work 

We enable diverse types of IoT service models and different configurations for LoRaWAN  Augment software architectures for enabling IoT dataas-a-service and infrastructure-as-a-service at the edge  Provide mechanisms for enabling edge computing for IoT applications  Future work  Refinement of architectures and data contract models  Data interoperability for edge analytics for network of Network Servers  Serverless functions for analytics & performance tests Global IoT Summit 2018, 4 April 2018, Bilbao

17

Thanks for your attention! Hong-Linh Truong Faculty of Informatics TU Wien, Austria rdsea.github.io

Global IoT Summit 2018, 4 April 2018, Bilbao

18