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Mobile Computing: Wireless Mesh and Sensor Networks. Thomas Kunz Professor and Director Technology Innovation Management Program Carleton University. Mobile Computing Group at Carleton.

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mobile computing wireless mesh and sensor networks

Mobile Computing: Wireless Mesh and Sensor Networks

Thomas Kunz

Professor and Director

Technology Innovation Management Program

Carleton University

mobile computing group at carleton
Mobile Computing Group at Carleton
  • Facilitate the development of innovative next-generation mobile applications on resource-constraint, mobile devices
  • Develop the required network architectures (MANETs, wireless mesh networks, wireless sensor networks)
  • Research into network protocols (MAC, routing, Mobile IP, QoS support, transport), and middleware/runtime support
wireless mesh networks
Wireless Mesh Networks

(Microsoft Research Video Clip)

wireless mesh testbed cont
Wireless Mesh Testbed (cont)
  • Mesh routers: IXP 425 based nodes with two radios
    • Provide local footprint/soft AP functionality to clients over one radio
    • Use second radio for building IPv6 based mesh: OLSR routing protocol with QoS extensions
  • Mesh testbed built with close collaboration from one small Ottawa startup
  • Some routing work licensed to another Ottawa company and being productized in their Adaptive Intelligent Router offering
current wireless mesh research
Current Wireless Mesh Research
  • Capacity and Fairness:
    • WMN shared resource for all users
    • WMN have finite (and rather limited) capacity to support a number of users
    • Goal: maximize utilization of network while providing “fair” access to all users
      • Analytical performance bounds
      • Distributed algorithms/protocols
      • Definition of “Fairness”
      • Tradeoff Fairness vs. Utilization
  • Generating Routing Protocols “automatically” using Generative Programming approach: GP-Pro
  • Network Management for Dynamic Networks
    • Maritime Network: Policy-based Network Management
wireless sensor networks
(Wireless) Sensor Networks

(Scenario developed by RUNES project: http://www.ist-runes.org/)

wsn research
WSN Research
  • Developed new localization and clock synchronization algorithms
  • Currently setting up a WSN testbed (jointly with Prof. St-Hilaire)
  • Ongoing research:
    • Evaluate above algorithms in testbed, extend them
    • Capacity in multi-hop wireless networks (network coding)
    • Security: bootstrapping trust without prior configuration
    • Application-oriented overlay networks
  • XML Aware Wired Networks/World Wide Sensor Web
    • Model, discover, and interact with distributed sensors based on XML standards
    • efficient distribution of different information derived from the sensors to various interested parties (first responders, airport authorities, etc.): content-based routing
    • combine/fuse data derived from different sites
seneca sensor networks for canada
SENECA: Sensor Networks for Canada
  • Proposed NSERC Strategic Network
    • 7 Canada Research Chairs, 3 other researchers from UQO, University of Ottawa, University of Sherbrooke, Ecole Polytechnique, Carleton University, ISMER, Concordia
    • Partners: End users (CATSA, CBSA, EC), manufacturers (Fiso, Biophage Pharma, Enablence, IR Photonics, ….)
    • Goal: Hybrid integration of photonics-based sensors and wireless networking
    • Structured around three themes
      • Application-specific Sensor Communication and Integration Technologies
      • Application-Specific Photonic Devices and Subsystems
      • Enabling Photonic Materials, Fibers and Processing Technologies
    • Selected Applications for Wide Area Photonic and Wireless Sensing
      • remote detection of explosive materials and biological hazards
      • measure nutrient and contaminant concentrations in water
      • geo-fencing solutions to protect critical infrastructure
prof st hilaire wireless sensor networks wsn
Prof. St.-Hilaire: Wireless Sensor Networks (WSN)
  • Research in planning algorithms (both static & dynamic)
    • How to design new WSN in a cost effective way
    • How to update an existing WSN infrastructure
    • Organisation (re-organisation) of the nodes to maximize the life time of the network
  • Research on network protocols
    • Routing scheme with different objectives
      • Save energy, minimise delay or combination
      • Re-organise the route in case of node/link failure
    • Correlation of events both in space and time
      • Clock synchronisation
      • Localization algorithm
prof st hilaire wireless sensor networks wsn1
Prof. St.-Hilaire: Wireless Sensor Networks (WSN)
  • Research on data association
    • How to follow multiple moving targets such as in military applications, border defence and so on.
  • Research on data aggregation/fusion
    • Aggregate data in order to save bandwidth, computing resources, battery life, etc.
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