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1 Tiago Camilo Wireless Sensor Networks in 4G Integration Tiago Camilo Prof. F. Boavida, Prof. J. SáSilva Laboratory of Communications and Telematics Department.

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Presentation on theme: "1 Tiago Camilo Wireless Sensor Networks in 4G Integration Tiago Camilo Prof. F. Boavida, Prof. J. SáSilva Laboratory of Communications and Telematics Department."— Presentation transcript:

1 1 Tiago Camilo Wireless Sensor Networks in 4G Integration Tiago Camilo Prof. F. Boavida, Prof. J. SáSilva Laboratory of Communications and Telematics Department of Informatics Engineering University of Coimbra Portugal

2 2  Laboratory of Communication and Telematics  IP in WSN  MAR Model Overview

3 3 LCT Research Topics  QoS in communication systems  Multicast (6MNet model)  Mobility  IPv6  Network management  New generation networks

4 4 IP Networks vs. * IP Networks vs. WSN* IP NetworksWSN Networking ModeApplication-independentApplication-specific Routing ParadigmsAddress-centricData/location-centric Data RateHigh (Mbps)Low (Kbps) Resource constrainsBandwidthEnergy, limited processing and memory Network LifetimeLong (years-decades)Short (days-monhts) OperationAdministeredSelf-configured * Zuniga M., Krishnamachari, B., “Integrating Future Large-scale Wireless Sensor Networks with the Internet” “Integrating Future Large-scale Wireless Sensor Networks with the Internet”

5 5 MAR Project  Mar’s Model  Header Compression  Anycast  Anycast Routing Protocol  Auto-configuration  Mobility

6 6 Using Offering Integrating Supporting MAR Project

7 7 Related Work  SICS  Contiki  µIP  IETF Group – LoWPAN  6LoWPAN: Overview, Assumptions, Problem Statement and Goals  Transmission of IPv6 Packets over IEEE Networks

8 8 Mar’s Keys Research Topics  Sensor Routers  IPv6  Anycast  Ant Colony Optimization

9 9 MAR Model Integrating WSN in 4G systems using IPv6 advantages

10 10 MAR Model The use of Sensor Routers  Network Management  Mobile capabilities  Several interfaces

11 11 MAR Model The use of IPv6 in the communication  MIPv6 SR-BS  ThinIPv6 SR-SN

12 12 IPv6 Header Compression*  IPv6 source address, 2 bits;  IPv6 destination address, 2 bits;  Traffic Class and Flow Label, 1 bit;  Next Header, 2 bits;  HC2 encoding, 1 bit; * Kushalnagar N., Montenegro, G., “6LoWPAN: Overview, Assumptions, Problem Statement and Goals” “6LoWPAN: Overview, Assumptions, Problem Statement and Goals”

13 13 IPv6 Anycast  Image  Sound  Energy  Radioactivity  Humidity  Luminosity  Temperature  Movement Anycast as a Service Discovery:

14 14 IPv6 Anycast  Static Locations  Garden  West Zone  Mobile Locations  Bus  Dog Anycast as a Geographic Locator:

15 15 IPv6 Anycast The Home Anycast Router Approach*: *Ata, S., Hashimoto, M., Kitamura, H., Murata, M., “Mobile IPv6-based Global Anycasting”, draft-ata-anycast-mip6-00, February 2005

16 16 IPv6 Anycast The Home Anycast Router Approach*: *Ata, S., Hashimoto, M., Kitamura, H., Murata, M., “Mobile IPv6-based Global Anycasting”, draft-ata-anycast-mip6-00, February 2005

17 17 Optimization methodology based on ant behaviors, optimizing:  Limited Memory  Limited Processing  Limited Power  Limited Radio spectrum Anycast Routing Protocol Ant Colony Optimization:

18 18 IPv6 Auto-configuration Is needed when*: *Thomson, S., Narten, T., Jinmei, T., “IPv6 Stateless Address Autoconfiguration”, draft-ietf-ipv6-rfc2462bis-07, December 2004;  The interface is initialized at system startup time.  The interface is reinitialized after a temporary interface failure.  The interface attaches to a link for the first time.  The interface is moved from a Sensor Router spectrum to another.

19 19 IPv6 Auto-configuration  Network Prefix  Anycast Identifier  Mac Address

20 20 Mobile IPv6 Sensor Router Mobility:

21 21 Mobile IPv6 Sensor Nodes Mobility:

22 22 Evaluation Studies  Simulation  NRL's Sensor Network Extension to NS-2*  Testbed  Tests in real scenarios (ScatterWeb platform**) *http://nrlsensorsim.pf.itd.nrl.navy.mil/**http://www.scatterweb.com/

23 23 Future Work  Continuing the design of MAR model  Study MAR approach in Simulation Environments  Integrate MAR model into BATMAN Testbed  Tests in real scenarios

24 24 References  Zuniga M., Krishnamachari, B., “Integrating Future Large-scale Wireless Sensor Networks with the Internet”;  Kushalnagar N., Montenegro, G., “6LoWPAN: Overview, Assumptions, Problem Statement and Goals”;  Ata, S., Hashimoto, M., Kitamura, H., Murata, M., “Mobile IPv6-based Global Anycasting”, draft-ata-anycast-mip6-00, February 2005;  Thomson, S., Narten, T., Jinmei, T., “IPv6 Stateless Address Autoconfiguration”, draft-ietf-ipv6-rfc2462bis-07, December 2004;   


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