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Mobile Computing

Mobile Computing. Assistant Professor: Huei-Wen Ferng Office: RB 503 URL: http://santos.ee.ntu.edu.tw/~wen. Textbooks/ References. Mobile Data & Wireless LAN Technologies (Rifaat A. Dayem/ Prentice Hall/ ISBN 0-13-839051-7/ Pearson Education Taiwan Tel: 23702337)

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Mobile Computing

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  1. Mobile Computing Assistant Professor: Huei-Wen Ferng Office: RB 503 URL: http://santos.ee.ntu.edu.tw/~wen Prof. Huei-Wen Ferng

  2. Textbooks/ References • Mobile Data & Wireless LAN Technologies (Rifaat A. Dayem/ Prentice Hall/ ISBN 0-13-839051-7/ Pearson Education Taiwan Tel: 23702337) • Wireless Personal Communications Systems (David J. Goodman/ Addison Wesley/ ISBN 0-201-63470-8/ 全華 Tel: 25071300) • Selected Papers Prof. Huei-Wen Ferng

  3. Grading • Final project • Oral presentation 15% • Report (10 pages) 20% • Final exam 35% • Homework 30% Prof. Huei-Wen Ferng

  4. Contents/ Course Outline • Introduction: Why and Who Will Be Mobile? • Wireless Networking • Mobile Data Services & Technologies • Wireless LAN Technologies & Products • Ad Hoc Networks • AMPS System: Analog Cellular System (1G) • GSM System: Digital Cellular System (2G) • The Third Generation Wireless Communications System (3G) • Other Supplementary Topics Prof. Huei-Wen Ferng

  5. Chapter 1 Introduction: Why and Who Will Be Mobile? Prof. Huei-Wen Ferng

  6. Telecom Networks/Systems • Wired Networks (Internet) • Local Area Networks (LANs) • Public Data Networks, i.e., WANs • Wireless Networks • Wireless LANs • Mobile Data Networks • Fixed Telephone Networks, i.e., Public Switched Telephone Networks (PSTNs) • Mobile Phone Systems Prof. Huei-Wen Ferng

  7. (1) Telephone (M) (2) Mobile phone (K) (3) Radio paging (K) (4) Internet (K) 12.04 (4.7%) 11,541 (144.0%) 3,873 (-9.1%) 2,874 (72.6%) 9.17 (7.9%) 770 (31.8%) 2,083 (20.5%) 21 10.01 (9.2%) 970 (26.0%) 2,301 (10.5%) 165 (686.0%) 10.86 (8.5%) 1,492 (53.8%) 2,641 (14.8%) 429 (160%) 11.50 (5.9%) 4,727 (217.0%) 4,261 (61.3%) 1,665 (288%) 12.64 (5.0%) 17,743 (53.7%) 2,867 (-26.0%) 4,650 (61.8%) Telecom Statistics 1995 1996 1997 1998 1999 2000 Note: According to Jan. 2001 statistics, total mobile phone subscribers are 18.3M in which CHT: 4.7M(25.7%), and others: 13.61M(74.3%) Prof. Huei-Wen Ferng

  8. Some Forecasts • In 3 years, Internet traffic will grow to 10,000 times its current level. • Global e-business revenue will grow 86% per year to $ 1.4 Trillion in 2003. • Bandwidth consumption will grow by a factor of 100 to 200 over the next four years. Prof. Huei-Wen Ferng

  9. What is Mobile Computing? • Mobile Computing is also known as “Ubiquitous Computing” (anywhere, anytime, any device) • The scope covered by Mobile Computing roughly includes: Mobile Data, Wireless LANs and Ad Hoc Networks Prof. Huei-Wen Ferng

  10. Mobile Computing Chart Verticals Horizontals Applications Operating systems Mobile operation systems Notebooks Phones Others Devices PDAs WANs LANs Wireless networks Prof. Huei-Wen Ferng

  11. Application Layer • Vertical applications: those apply to a function part of an industry such as field sales and field service, or to specific market segment such as banking or health care • Horizontal applications: apply to many people across most market segments Prof. Huei-Wen Ferng

  12. Operation Systems Layer • This layer provides tools for application programmers to access different mobile devices and different wireless networks • A key layer to rapid growth of wireless networking and proliferation of applications Prof. Huei-Wen Ferng

  13. Device Layer • All the mobile devices we carry with us: • Notebooks (NBs) • Personal Digital Assistants (PDAs) • Cellular phones • Personal communicators • Combination devices • Combination devices are now rapidly emerging Prof. Huei-Wen Ferng

  14. Wireless Networks Layer • The Wireless Wide Area Network (WAN) is also called “Mobile Data” including: • Packet networks: RAM/Mobitex, ARDIS/Modacom • Paging networks • Data over cellular: CDPD (over AMPS), GPRS (over GSM) • Data over satellite • Wireless LANs: with much higher rate but smaller coverage than Mobile Data networks Prof. Huei-Wen Ferng

  15. Applications Market by 2005 Prof. Huei-Wen Ferng

  16. Field Sales Application • Sales quotation • Inventory check • Order entry • Credit authorization • Invoicing Prof. Huei-Wen Ferng

  17. Field Service Application • Obtaining a maintenance history of the item requiring service • Performing complex diagnostics that require access to databases and applications at other locations • Checking parts inventory if required • Updating the maintenance database after the service is done • Invoicing for the job • Real-time dispatching of the field engineer Prof. Huei-Wen Ferng

  18. Transportation Application • The oldest application • Including: • Automatically locating the vehicle • Dispatching the vehicle to the next job • Routing the vehicle if required • Capturing data from the vehicle Prof. Huei-Wen Ferng

  19. Personal Communications Application • Messaging • Calendaring • Directories • Info Systems • Fax Prof. Huei-Wen Ferng

  20. Mobile Office Application • Fax • E-mail • LAN access • File transfer • Database access Prof. Huei-Wen Ferng

  21. Airlines Police Field sales Emergency Hospitals Maintenance Retail stores Stock exchanges Casinos Hotel Taxicabs Rental car agencies Transportation Vertical Market Examples Prof. Huei-Wen Ferng

  22. Security User authentication Data privacy Privacy of user location Bandwidth Limited bandwidth (10K~10M) Software Still in its infancy The main/ biggest reason for late data implementations Safety Radiation is harmful to human beings Trends: low power, thus less radiation Challenges Prof. Huei-Wen Ferng

  23. Application/Technology Matrix Prof. Huei-Wen Ferng

  24. Horizontal Application Examples • Near term horizontal applications (LAN app.) • Dynamic work environment • Trade show • conference • Difficult to wire areas • New employees who need immediate service • Broad-based horizontal applications (WAN app.) • Wireless meeting • Wireless traveler • Interactive TV Prof. Huei-Wen Ferng

  25. Positioning of Wireless Networking • Comparison between wireless data & wired data capacities • Position of wireless networks relative to wired networks: • Not a replacement but an extension to wired networks Prof. Huei-Wen Ferng

  26. Case Studies • ADP (Automatic Data Processing) • British Airways • HP in the UK • South Dakota University • Integrated Device Technology • Revenue Canada • LBS platform by OleMap Prof. Huei-Wen Ferng

  27. m-Commerce vs. Location-based Service Why LBS Platform? Why OleSpot? August 30, 2001 Location Based Service 研討會 主辦單位:國立臺灣科技大學創新育成中心 友邁科技 協理 黃國聰 huang@olemap.com Prof. Huei-Wen Ferng

  28. Thin Client vs. Thick Client Thick Client Thin Client Client Client Client Display Display Display Render Render Render Display Element Generator Display Element Generator Display Element Generator Server Server Server Server Thick Server Thin Prof. Huei-Wen Ferng

  29. Traditional GIS≠Wireless Location Service From To Wired Wireless Desktop Mapping Mobile Location Service AM/FM,CAD CRM, ERP, B2B, B2C Business Systems Decision Support Services Map Data HTML Open Standard Location Specific Location Independent PC Any Devices We need a whole new spatial technology in wireless world. Prof. Huei-Wen Ferng

  30. Java LBS Engine EJB Container (WebLogic) Wireless Gateway Web Server (Translator) HTML, cHTML, HDML, WML, vXML, XML…etc. LBS Architecture User ID, Device Pattern, XY, Request,… XML protocol Location Calculation & Control Client LMU Wireless Portal Service Platform Other ICPs Neighbor Cell #1 LMU Non-LBS Apps By ICPs Billing Serving Cell Location Capable Handset LMU Corporate Apps LBS Apps Neighbor Cell #2 App Interface Location-based Service Apps Billing Java APIs System Setting Xxxxxx Xxxx Xxxxxxx xx SQL query enabled Location Engine Subscriber Preference Log File Spatial DataBase enabled Xxxxxx Xxxx Xxxxxxx xx DB Server OleMap Spatial DataBase Xxxxxx Xxxx Xxxxxxx xx Prof. Huei-Wen Ferng

  31. Traditional Voice-Only Scenario Drives Increased Traffic Revenue Share Revenue User Billed by Mobile Operator User Mobile Operator Prof. Huei-Wen Ferng Source: Telecompetition Inc., Feb 2001

  32. New Revenue Streams Through Partnering Drives Increased Traffic Revenue Share Revenue User Billed by Mobile Operator User New Revenue Streams to the operator: • Subscription • Advertising • Transactions(% of M-Commerce sales) • Premium priced airtime Mobile Network Mobile Operator Mobile Portal Advertisers W-ASPs Content Providers And Aggregators Prof. Huei-Wen Ferng Source: Telecompetition Inc., Feb 2001

  33. Service Providers: ISPs and MVNOs Drives Increased Traffic Revenue Share Revenue User Billed by ISP or MVNO User Mobile Network Mobile Operator ISPs and MVNOs Mobile Portal W-ASPs Content Providers And Aggregators MVNOs (Mobile Virtual Network Operators) Prof. Huei-Wen Ferng Source: Telecompetition Inc., Feb 2001

  34. M-Commerce Adds Complexity Drives Increased Traffic Revenue Share Revenue User Billed by Mobile Portal User Could be Billed by Content Provider User User Mobile Network Mobile Operator ISPs and MVNOs Mobile Portal Advertisers W-ASPs Content Providers And Aggregators Advertisers W-ASPs Content Providers And Aggregators Source: Telecompetition Inc., Feb 2001 Prof. Huei-Wen Ferng

  35. What is LBS Platform ? • LBS platform is a spatial information computing environment that developers can use of APIs that it provides to deploy LBS applications. • The developers need not to know too much about spatial computing and spatial data and database. Prof. Huei-Wen Ferng

  36. Need to Support All Devices Prof. Huei-Wen Ferng

  37. Need to Support Various Apps Prof. Huei-Wen Ferng

  38. Wired vs. Wireless Technology Prof. Huei-Wen Ferng Source: Mobilocity 2000

  39. OleSpotTM Service Concept Client Mark - up Language HTML, cHTML , HDML, WML, vXML , XML  etc. Web Server Web Server (XML translator) (XML translator) XML protocol enabled App APP APP APP APP APP APP APP APP Other Server Java LBS Applications XML protocol enabled App Interface XML APIs Other Location XY Direction Locator Resolver Router Traffic Router P.O.I. Address Finder Producer Java Map Search Java Java LBS APIs SQL query enabled Location Engine Java LBS Engine EJB Container J2EE (WebLogic ) Spatial DataBase enabled DB Server Spatial Data Vector Raster Satellite User Log Billing Device Map Map Map Preference File Record Pattern Route Corporate Java enabled Map Data Prof. Huei-Wen Ferng

  40. Characters of OleSpotTM Pure Java development Cross-platform solution Following J2EE architecture Scalable, robust, flexible Interoperability XML open standard parser Prof. Huei-Wen Ferng

  41. P.O.I. finder Java map producer Geocoding XY resolve Driving direction Mass transportation routing Reasonable restaurant Buffering analysis Coordinate transforming Address locator Location Search OleSpotTM Sample APIs • There are more than 43 APIs on OleSpot now. • It will add if in need. Prof. Huei-Wen Ferng

  42. Ole-Menu Riches Mobile Life Developer or programer can easily to deploy LBS apps from XML APIs that OleSpot released OleSpot provides more than 20 LBS practical and useful apps in the first stage  Ole-Menu We are seeking partners to deploy more and more LBS applications Examples: see next page Prof. Huei-Wen Ferng

  43. Services for Enterprise 外業人員行動監控、搜尋或導航 人員行程掌控與工作派遣 快遞物流業車隊安全維護、監控與導航 公車車班時程與間距查詢系統 Source: YesMobile 2001 Prof. Huei-Wen Ferng

  44. Sample Applications Driving direction Mass transportation routing Rental information Reasonable restaurant E-map on PDA Prof. Huei-Wen Ferng

  45. Services for Consumers P.O.I. Finder：「e 點靈」系列 Prof. Huei-Wen Ferng

  46. LBS Platform Levers The Market LBS Market Applications LBS Platform Prof. Huei-Wen Ferng

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