Mobile computing wireless mesh and sensor networks
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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:

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.