IFIP TC6 Advanced Tutorials in Networking IoT: smeter Project

Transcription

1 IFIP TC6 Advanced Tutorials in Networking IoT: smeter Project Edmundo Monteiro André Riker, Tiago Cruz, Bruno Marques, Marilia Curado, Paulo Simões University of Kelaniya, Sri Lanka, June 23-25, 2015

2 Outline IntroducTon Smart Metering CommunicaTon Problems to Address smeter: A Smart Metering Testbed Experiments Conclusion

3 IntroducTon Smart metering A Machine- to- Machine (M2M) applicaton Measures the consumpton of the utlites E.g. Water, Gas, Energy Controls the assets E.g. Drills, wells and pipelines Monitors the usage throughout the day

4 Smart Metering CommunicaTon Apps Utilities Companies Entities

5 Smart Metering CommunicaTon ApplicaTons and Clients Apps Utilities Companies Entities

6 Smart Metering CommunicaTon ApplicaTons and Clients Apps Utilities Companies Entities M2M pla_orm

7 Smart Metering CommunicaTon ApplicaTons and Clients Apps Utilities Companies Entities M2M pla_orm 3G WiFi Ethernet Monitoring Nodes

8 Smart Metering CommunicaTon ApplicaTons and Clients Apps Utilities Companies Entities M2M pla_orm 3G WiFi Ethernet Monitoring Nodes RFID RF IEEE Sensors and Actuators

9 Problems to Address SimulaTons SimulaTon models have strong assumptons Testbeds Most of the real implementatons are designed to a partcular Smart Metering or M2M scenario E.g.: Energy consumpton monitoring Use private protocols Can not run the standard protocols Too constrained hardware Can not support the M2M pla_orm functonalites

10 Proposed soluton: smeter A Smart Metering Testbed for Academic purposes Raspberry Pi as Hardware pla_orm Linux based OS Flexible hardware Ease to find HW components Can be used to experiment a lot of M2M Scenarios Large documentaton Support MulT- hop protocols E.g.: OLSR It will be able to run standard protocols E.g.: CoAP, DTLS and RPL

11 smeter Architecture Device 1 Periodicity: Data Aggregation: Sedng Interface Data VisualizaTon Data Gathering Mechanisms Data Management Monitoring Nodes Data Base

12 smeter Architecture - Configures the data gathering mechanisms Periodicity: Device 1 - High level of Abstrac9on Data Aggregation: Sedng Interface Data VisualizaTon Data Gathering Mechanisms Data Management Monitoring Nodes Data Base

13 smeter Architecture Device 1 Periodicity: Data Aggregation: Sedng Interface Data VisualizaTon 1 2 Data AggregaTon Data EncrypTon Data Gathering Mechanisms Data Management Monitoring Nodes Data Base

14 smeter Architecture Device 1 Periodicity: Data Aggregation: Sedng Interface Data VisualizaTon 1 2 Data AggregaTon - Manages Data Aggrega9on and encryp9on profiles Data EncrypTon Data Gathering Mechanisms Data Management Monitoring Nodes Data Base

15 smeter Architecture Device 1 Periodicity: Data Aggregation: Sedng Interface Data VisualizaTon 1 2 Data AggregaTon - Avoids the data gathering mechanisms conflict Data EncrypTon Data Gathering Mechanisms Data Management Monitoring Nodes Data Base

16 smeter Architecture Device 1 Periodicity: Data Aggregation: Sedng Interface Data VisualizaTon 1 2 Data AggregaTon Data EncrypTon - Mul9- hop wireless communica9on Data Gathering Mechanisms Data Management Monitoring Nodes Data Base

17 smeter Architecture Device 1 Periodicity: Data Aggregation: Sedng Interface Data VisualizaTon Data AggregaTon Data EncrypTon Open Energy Monitor Data Gathering Mechanisms Data Management Monitoring Nodes Data Base

18 smeter Architecture Periodicity: Device 1 Data Fusion and Visualiza9on Data Aggregation: Sedng Interface Data VisualizaTon 1 2 Data AggregaTon Data EncrypTon Data Gathering Mechanisms Data Management Monitoring Nodes Data Base

19 Experiments: Scenario 1 Node 2 Node 1 Open Energy Monitor Node 3 Node 4 Sink node Room 1 Hall Room 2 Wireless Link Wired Link

20 Experiments: Scenario 1 Parameter Number of Nodes Value 5 Node 2 Number of Traffic Flows CommunicaTon Periodicity RouTng Protocol RouTng Metric Wireless Technology Packet Length 4 to 8 1 s OLSR ETX IEEE g 56 Bytes Node 4 Node 3 Node 1 Room 1 Hall Room 2 Wireless Link Wired Link Open Energy Monitor Sink node

21 Experiments: Scenario 1

22 Experiments: Scenario 1

23 Experiments: Scenario 1

24 Experiments: Scenario 2

25 Experiments: Scenario 2

26 Conclusion smeter provides a Smart Metering testbed Low- cost Flexible hardware Wireless mult- hop communicaton It will allow to experiment M2M pla_orm functonalites Concurrent users Different interests Management of data aggregaton and encrypton

27 Conclusions In this stage Wireless communicaton performance Data fusion and visualizaton Next steps Add more monitoring devices Data encrypton and aggregaton profiles Transparent management of the mechanisms