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ERCIM eMobility WG Collaborative Mobile Geo-referenced Services Some ideas for project proposals

ERCIM eMobility WG Collaborative Mobile Geo-referenced Services Some ideas for project proposals Dimitri Konstantas dimitri.konstantas@unige.ch http://asg.unige.ch. The user as mobile content provider. Rationale : Low cost, High power, high memory mobile devices

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ERCIM eMobility WG Collaborative Mobile Geo-referenced Services Some ideas for project proposals

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  1. ERCIM eMobility WG Collaborative Mobile Geo-referenced Services Some ideas for project proposals Dimitri Konstantas dimitri.konstantas@unige.ch http://asg.unige.ch

  2. The user as mobile content provider Rationale : • Low cost, High power, high memory mobile devices • Ubiquitous access to high bandwidth mobile networks • Mobile Users become content providers

  3. Geo-references services in 2010s Power to the user!!! • User created mobile and geo-spatial content • Integration of mobile and “fixed” information sources • Collaborative services

  4. On-going work at ASGBasic concepts • E2E QoS information provision for wireless networks • Collaborative, User measured QoS of wireless networks • Based on virtual tags • Allowing prediction of QoS • Hovering Information • Active information linked to a geographical location • Hovering autonomously from one mobile device to another in a quest to stay alive and within its anchored location

  5. On-going work at ASGServices • Virtual tags services • FoxyTag : fixed trafic radat information • trust based service (free service available from the internet) • The Bol d’Or (nautical contest in Lake Geneva) safety boats localisation and management system • E2E QoS-forecast service for wireless networks • A pilot service developed and tested on GPRS and UMTS • Results will be available in a PhD thesis to be defended in mid spring 2009 (Katarzyna Wac) • Hovering Information prototype (late 2009)

  6. Project Proposals in preparation:QoS service A fine grain wireless networks’ QoS information broker • Collaborative service, Trial driven • Objectives • 1.1.b : the Network of the Future (call 5) • 8.5 FET Proactive ; Self Awareness in Autonomic Systems (call 5)

  7. Project Proposals in preparation:Mobile Information management Based on the Hovering Information concept A service managing mobile user information • A Framework integrating the management of information coming from Mobile information sources, sensor networks, fixed access points • Objective 1.3.a Internet of Things Architecture and Technologies for the Internet of Things (Call 5 or FET open)

  8. Questions ???

  9. Hovering information:An overlay for mobile content Hovering information (blue) will be capable of moving from one location to another (from pa0to pa4)jumping across the intermediate physical devices (pink) (pa1,t1) (pa0,t0) (pa2,t2) (pa3,t3) (pa4,t4) Hovering information (blue) will be linked to a location and optionally time stamped (pa0,ta). Physically, this information will reside in neighbouring devices (pink) (pa0,t0) (pb0,t0) In the absence of fixed infrastructure, hovering information will use all devices in its neighbourhood such as phones, RFIDS, sensors, PDAs, laptops, PCs, etc Hovering information Mobile device / user

  10. Hovering Information features • Linked to a geographical location - Hovering autonomously from one mobile device to another • Moving from a geographical location to another • Existence of its own once created • Existence in a dynamic distributed heterogonous environment with no centralized servers • Based on P2P, MANET …. research results

  11. Service example :geo-referenced infrastructure information services Wireless Infrastructure status is today provided and controlled by the operators Example : coverage, QoS etc. This is not enough for demanding applications as it is very coarse grained information

  12. Fine grain QoS of Wireless networks Games, m-health and other context and data delivery critical applications need high precision information on QoS • Signal strength based measurement is not precise enough • Antenna based QoS is not sufficiently accurate

  13. An E2E QoS-forecast service • Collaborative, User measured • Based on virtual tags • Allowing prediction of QoS

  14. Internet E2E QoS forecastservice Towards QoS-and context-aware mobile applications Goal: to know and adapt to the forecasted E2E QoS 2.5G / 3G / WLAN /… 2.5G / 3G / WLAN /… applicationserver Mobile OperatorNetwork Enterprise Network log / request E2E QoS info mobile game user Problem: no guarantees + no knowledge on E2E QoS

  15. Development of E2E QoS-forecast service • Reporting of observed QoS as a virtual tag • Multidimensional: time, space, network … • Trust and prediction

  16. Development of E2E QoS-forecast service working daylunch-time weekend daylunch-time • E2E QoS depends on: • user location, time and mobility level • mobile operator, wireless technology • …other user-context … ! Forecasted E2E QoS

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