Wireless Sensor Networks in 4G Integration Tiago Camilo Prof. F. Boavida, Prof. J. S - PowerPoint PPT Presentation

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Wireless Sensor Networks in 4G Integration Tiago Camilo Prof. F. Boavida, Prof. J. S

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Data/location-centric. Address-centric. Routing Paradigms ... Auto-configuration ... IPv6 Auto-configuration. Network Prefix. Anycast Identifier. Mac ... – PowerPoint PPT presentation

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Title: Wireless Sensor Networks in 4G Integration Tiago Camilo Prof. F. Boavida, Prof. J. S


1
Wireless Sensor Networks in 4G
IntegrationTiago CamiloProf. F. Boavida, Prof.
J. SáSilvaLaboratory of Communications and
TelematicsDepartment of Informatics
EngineeringUniversity of CoimbraPortugal
2
Overview
  • Laboratory of Communication and Telematics
  • IP in WSN
  • MAR Model

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

4
IP Networks vs. WSN
IP Networks WSN
Networking Mode Application-independent Application-specific
Routing Paradigms Address-centric Data/location-centric
Data Rate High (Mbps) Low (Kbps)
Resource constrains Bandwidth Energy, limited processing and memory
Network Lifetime Long (years-decades) Short (days-monhts)
Operation Administered Self-configured
Zuniga M., Krishnamachari, B., Integrating
Future Large-scale Wireless Sensor Networks with
the Internet
5
MAR Project
  • Mars Model
  • Header Compression
  • Anycast
  • Anycast Routing Protocol
  • Auto-configuration
  • Mobility

6
MAR Project
Integrating
Wireless Sensor Networks
4G Systems
Using
Supporting
IPv6
Mobility
Offering
7
Related Work
  • SICS
  • Contiki
  • µIP
  • IETF Group LoWPAN
  • 6LoWPAN Overview, Assumptions, Problem Statement
    and Goals
  • Transmission of IPv6 Packets over IEEE 802.15.4
    Networks

8
Mars Keys Research Topics
  • Sensor Routers
  • IPv6
  • Anycast
  • Ant Colony Optimization

9
MAR Model
Integrating WSN in 4G systems using IPv6
advantages
10
MAR Model
  • The use of Sensor Routers
  • Network Management
  • Mobile capabilities
  • Several interfaces

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

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
13
IPv6 Anycast
Anycast as a Service Discovery
Image Sound Energy Radioactivity Humidity Luminosity Temperature Movement
14
IPv6 Anycast
Anycast as a Geographic Locator
Static Locations Garden West Zone Mobile Locations Bus Dog
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
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
Anycast Routing Protocol
Ant Colony Optimization
  • Optimization methodology based on ant behaviors,
    optimizing
  • Limited Memory
  • Limited Processing
  • Limited Power
  • Limited Radio spectrum

18
IPv6 Auto-configuration
Is needed when
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.
Thomson, S., Narten, T., Jinmei, T., IPv6
Stateless Address Autoconfiguration,
draft-ietf-ipv6-rfc2462bis-07, December 2004
19
IPv6 Auto-configuration
Network Prefix Anycast Identifier Mac Address
20
Mobile IPv6
Sensor Router Mobility
21
Mobile IPv6
Sensor Nodes Mobility
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
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
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
  • http//www.sics.se/
  • http//nrlsensorsim.pf.itd.nrl.navy.mil/
  • http//www.scatterweb.com/
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