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Consumer-Oriented Integration of Smart Homes and Smart Grids A Case for Multicast-Enabled Home Gateways? Sebastian Meiling, Till Steinbach, Moritz Duge and Thomas C. Schmidt moritz.duge@haw-hamburg.de iNET RG, HAW Hamburg


  1. Consumer-Oriented Integration of Smart Homes and Smart Grids A Case for Multicast-Enabled Home Gateways? Sebastian Meiling, Till Steinbach, Moritz Duge and Thomas C. Schmidt moritz.duge@haw-hamburg.de iNET RG, HAW Hamburg – http://www.haw-hamburg.de/inet Moritz Duge, iNET RG, HAW Hamburg Page 1 of 19

  2. Agenda 1. Introduction & Motivation 2. Multicast-Enabled Home Gateways 3. Deployment Considerations 4. Evaluation 5. Conclusion Moritz Duge, iNET RG, HAW Hamburg Page 2 of 19

  3. Introduction & Motivation Smart Grid measurement and control of energy consumption ● Smart Meters at customer sites, Advanced Metering Infrastructure (AMI) ● load management by intelligent energy consumers lowering the base load capacity and avoiding peak load ● requires control of many energy devices (consumers and generators) ● load balancing by Demand Side Management (DSM) decentralized energy production ● instead of a few big power plants, many small generators ● operation of Virtual Power Plants (VPP) Moritz Duge, iNET RG, HAW Hamburg Page 3 of 19

  4. Introduction & Motivation Smart Home and Smart Grid Smart Home & automation ● control various (energy) appliances in households ● increase comfort and reduce expenses Smart ● already some deployment Home Control Smart Grid ↔ Smart Home ● comparable motivations ● large scale ↔ small scale ● possible synergies Yet, there is no interconnection or integration! Moritz Duge, iNET RG, HAW Hamburg Page 4 of 19

  5. Introduction & Motivation Problem Statement ● integration of Smart Homes requires communication- access to households ● dedicated communication infrastructure is expensive ● no scalable public-network infrastructure for a Smart Grid integrating Smart Homes available Moritz Duge, iNET RG, HAW Hamburg Page 5 of 19

  6. Multicast-Enabled Home Gateways Communication Patterns in a Smart Grid one-to-many (1:N) ● device scheduling ● energy tariff information ● AMI, DSM and VPP many-to-many (M:N) ● cooperative execution of a task ● decentralized coordination ● DSM and VPP ● that is group communication ● not efficient trough unicast but multicast Moritz Duge, iNET RG, HAW Hamburg Page 6 of 19

  7. Multicast-Enabled Home Gateways Contribution of this Work our concept ● based on consumer hardware (COTS) ● integration of Smart Home devices ● use of existing public networks, i.e. the Internet ● (hybrid) multicast-enabled home gateways – overcome limited IP multicast deployment we show ● feasibility and performance measurements ● testbed in the area of Hamburg ● evaluation of consumer internet connections Moritz Duge, iNET RG, HAW Hamburg Page 7 of 19

  8. Multicast-Enabled Home Gateways Smart Grid using Home Gateways Moritz Duge, iNET RG, HAW Hamburg Page 8 of 19

  9. Deployment Considerations Hybrid Multicast ● overcomes lack of IP multicast deployment ● application layer multicast using p2p technologies ● native multicast where available ∀ H Mcast hybrid adaptive multicast framework ● common multicast API with abstract group naming scheme ● adaptive middleware layer for technology abstraction ● Inter-Domain Multicast Gateways (IMGs) Moritz Duge, iNET RG, HAW Hamburg Page 9 of 19

  10. Deployment Considerations Hybrid Multicast P2P overlay multicast enabled networks Moritz Duge, iNET RG, HAW Hamburg Page 10 of 19

  11. Evaluation Evaluation Scenario ● system performance of home gateways ● measurement study of consumer Internet connections ● home gateway – standard consumer WLAN router – MIPS processor (400 MHz) – 32MB RAM – OpenWRT Linux operating system Moritz Duge, iNET RG, HAW Hamburg Page 11 of 19

  12. Evaluation System Performance test setup ● two home gateways (sender and receiver) ● direct connection via 100 MBit/s Ethernet ● metrics: packet throughput and loss, CPU utilization ● constraints of hardware resources technologies under test ● native IP multicast (Native IPM) as reference ● H Mcast IP multicast (IPM) ∀ ● H Mcast application layer multicast via Scribe (ALM) ∀ Moritz Duge, iNET RG, HAW Hamburg Page 12 of 19

  13. Evaluation System Performance Moritz Duge, iNET RG, HAW Hamburg Page 13 of 19

  14. Evaluation System Performance CPU performance is a limit to throughput Moritz Duge, iNET RG, HAW Hamburg Page 14 of 19

  15. Evaluation Hamburg testbed test setup ● 30 nodes ● 9 Internet service providers (ISPs) ● metropolitan area of Hamburg, Germany metric under test ● one-way message delays Moritz Duge, iNET RG, HAW Hamburg Page 15 of 19

  16. Evaluation Distributed Measurement horizontal bars median thick bars 25% - 75% thin bars last value within: HAW thick bar + 1.5 × thick bar Moritz Duge, iNET RG, HAW Hamburg Page 16 of 19

  17. Conclusion Conclusion ● results show high packet throughput on COTS ● end-to-end delays over ISP connections – surprisingly high for the regionally confined scenario – heavily depend on provider association – differ considerably between ISPs ● standard consumer embedded hardware more than sufficient for Smart Grid applications (AMI, DSM, and VPP) Moritz Duge, iNET RG, HAW Hamburg Page 17 of 19

  18. Conclusion Outlook our ongoing research ● measurements and experiments in our Hamburg testbed ● analyze impacts of consumer Internet connectivity on (future) Smart Grid applications ● develop decentralized coordination schemes for energy devices ● other considerations – privacy, security, integrity – interfaces, other technologies (IEC 61850) Moritz Duge, iNET RG, HAW Hamburg Page 18 of 19

  19. Questions? Thank you! http://www.haw-hamburg.de/inet http://www.smartpowerhamburg.de SMART POWER HAMBURG Moritz Duge, iNET RG, HAW Hamburg Page 19 of 19

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