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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 Thomas Kunz Professor and Director Technology Innovation Management Program Carleton University
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 (Microsoft Research Video Clip)
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 • 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 (Scenario developed by RUNES project: http://www.ist-runes.org/)
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 • 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) • 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 (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.