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Chen, Ling-Jyh ޼Ӻᔊʧ Research Description
Research Description
޼Ӻᔊʧ
My research interests lie in the area of net- ment tools, and we have validated these tools exten-
͉ɛٙ޼Ӻጳሳ˴ࠅϞೌᇞၣ༩eБਗၣ༩e
working with an emphasis on wireless networks, sively on the Internet. We also integrate our devel-
˸ʿၣ༩ඎ಻ɧɽ˙Σf዆᜗ϾԊdҢࡁٙՇɽ mobile networks, and network measurements. The oped tools into various data transmission protocols

޼Ӻͦᅺމj(1) ౤ԶБਗၣ༩Դ͜٫͑Ⴣ௰Գʘ primary objectives of my research are 1) to provide to perform passive network measurement/monitor-
Always-Best-Connectivity (ABC) for the mobiles; ing. Based on passive network monitoring results,
ஹᇞ؂ਕi(2) ഐΥ˴ਗόא஗ਗόʘၣ༩ඎ಻ഐ 2) to provide better Quality-of-Services (QoS) for we have proposed several QoS enhancements for
؈d̋੶ၣ༩Ꮠ͜ழ᜗ʘ؂ਕۜሯf network applications based on active and/or passive mobile wireless network scenarios.
network measurements.
My ongoing research is mainly focused on 1) Research Fellows
ίཀ̘ٙ޼Ӻ຅ʕdҢࡁʊ০࿁ତБ΢όೌ
Specifically, we have studied the interference effective data forwarding in extremely mobile ad
ᇞၣ༩߅Ҧගd־Ϥʝ޴ʍᓔٙਪᕚdл͜ᅰኪʱ issue amongst various prevalent wireless technolo- hoc networks (a.k.a. opportunistic networks) and
gies through analysis and experiments, and we have 2) estimating available bandwidth for wired and
ؓၾྼዚ༊᜕dආБଉɝٙ޼ӺiΝࣛdҢࡁһ০
proposed a few cross layer integration approaches wireless networks. In the future, we plan to develop
࿁ʔΝٙೌᇞၣ༩߅Ҧd˸ʿʔΝٙၣ༩Ꮠ͜؂ to improve application performance in error-prone an Always-Best-Connected solution for emerging
wireless networks. We have designed a simple multi-channel, multi-interface, and mobile wireless
Research Fellows
ਿ ͉ ༟ ࣘ ਕd౤̈ᅰ၇༨ᄴ዆Υό (Cross Layer Integration) and practical solution to provide seamless vertical ad hoc networks. Moreover, we intend to apply our
ਿ
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ࣘ
༟
ٙ༆Ӕ˙ࣩfϤ̮d০࿁˚ूᄣ̋ၾ౷ʿٙБਗၣ handoffs for mobile users, as well as an intelligent network measurement techniques to benefit emerg-
ᔖcc၈j п޼ӺࡰAssistant Research Fellow ༩ცӋdҢࡁ͵ணࠇəɓࢁᔊ׸˲ྼٙ͜ೌᐻόۧ decision module to determine the ¨best© target ing network applications, such as overlay, peer-to-
Internet connection at a time. In addition, we have peer (P2P), sensor, grid, and mobile networks.
(2005/9--)
ٜʲ౬˙ࣩdԨ˲Νࣛ೯࢝̈ɓࢁ౽ᅆۨٙၣ༩Ӕ developed a set of light-weighted network measure-
௰৷ኪዝj Ph.D., Computer Science, University of
ഄӻ୕dᜫၣ༩ӻ୕ঐ˴ਗήਈ಻΢όٙၣ༩ஹᇞ
California at Los Angeles (2005)
༟๕dԨІБʲ౬Ց຅ɨ௰Գʘၣ༩ஹᇞ˙όfί
ཥcc༑j+886-2-2788-3799 ext. 1702
Selected Publications
ၣ༩ඎ಻˙ࠦdҢࡁක೯əɓӻΐ๟ᆽ˲Эልᕏܓ Selected Publications
ෂccॆj+886-2-2782-4814
ٙၣ༩ඎ಻ʈՈdԨ˲л͜ɽ஝ᅼٙၣ༩ྼ᜕dᗇ 1. Rohit Kapoor, Ling-Jyh Chen, Li Lao, Mario Gerla, and M. Y. Sana- 6. Ling-Jyh Chen, Tony Sun, Guang Yang, M. Y. Sanadidi, and Mario
ཥɿڦᇌjcclljj@iis.sinica.edu.tw
׼Ңࡁה޼೯ٙʈՈޫঐ͍ᆽήආБ΢ධඎ಻fΝ didi. CapProbe: A Simple and Accurate Capacity Estimation Tech- Gerla. End-to-end Asymmetric Link Capacity Estimation. IFIP Net-
ၣccࠫjhttp://www.iis.sinica.edu.tw/pages/cclljj nique. ACM SIGCOMM 2004, Portland, USA, 2004. (also in ACM working 2005, Waterloo, Ontario, Canada, 2005. (also in LNCS 3462,
ࣛdҢࡁһਗ਼ၣ༩ඎ಻ٙҦ̷dలɝତБʘၣ༩༟ Computer Communication Review, volume 34, issue 4, pp. 67-78, Oct. pp. 780-791, Springer 2005)
2004) 7. Ling-Jyh Chen, Shanky Das, Mario Gerla, Alok Nandan. Moving
ࣘෂ፩՘֛ʕdԨආϾ೯࢝̈΢όٙ؂ਕۜሯ౤؁
2. Rohit Kapoor, Ling-Jyh Chen, Alok Nandan, Mario Gerla, and M. Y. between infrastructure and ad hoc wireless networks: 'opportunistic'
• Ph.D., Computer Science, University of California
˙جdᜫೌᇞБਗၣ༩Դ͜٫d̙˸ԮաՑһλٙ Sanadidi. CapProbe: A Simple Technique to Measure Path Capacity. mobile middleware. Mobile Middleware, P. Bellavista and A. Corradi,
at Los Angeles (2005), ACM SIGMETRICS 2004, New York, USA, 2004. (also in ACM SIG- eds., pp 93-111, Computer & Information Science Series, Chapman &
ၣ༩Ꮠ͜؂ਕf
• M.S., Computer Science, University of California at METRICS Performance Review, volume 32, issue 1, pp. 390-391, June Hall/CRC Press, 2006.
2004) 8. Ling-Jyh Chen, Tony Sun, Li Lao, Guang Yang, M. Y. Sanadidi, and
Los Angeles (2003),
Ңࡁତචݬٙ޼Ӻࠇྌ˴ࠅϞՇɽ˴ᕚj(1) 3. Ling-Jyh Chen, Rohit Kapoor, Sewook Jung, M. Y. Sanadidi, and Ma- Mario Gerla. Estimating Link Capacity in High Speed Networks. IFIP
• B.Ed., Information and Computer Education, Na- ޼೯ί฽ܓਗ࿒ٙೌᇞᎇจၣ༩ (ɦ၈ᑗዚၣ༩) ʕ rio Gerla. An Adaptive ARQ Timeout Approach for Audio Streaming Networking 2006, Coimbra, Portugal, 2006. (also in LNCS 3976, pp.
tional Taiwan Normal University (1998). over Bluetooth. International Journal of Wireless and Mobile Comput- 98-109, Springer 2006)
৷ࣖঐٙ༟ࣘෂ჈˙όi(2) ޼೯ஷ͜׵Ϟᇞၾೌ ing, Special Issue on Mobile Multimedia Systems and Applications, 9. Guang Yang, Ling-Jyh Chen, Tony Sun, Mario Gerla, and M. Y. Sana-

Inderscience Publishers, volume 1, issue 5, 2005. didi. Smooth and Efficient Real-time Video Transport in Presence of
ᇞၣ༩ʘၣ༩̙͜᎖ᄱඎ಻˙جfҢࡁಂ޸ί̙ཫ
4. Mario Gerla, Ling-Jyh Chen, Yeng-Zhong Lee, Biao Zhou, Jiwei Wireless Errors. ACM Transactions on Multimedia Computing, Com-
Ԉٙਗ਼Ըdঐ੄০࿁อጳٙೌᇞε᎖༸ၾεʧࠦБ Chen, Guang Yang, and Shirshanka Das. Dealing with node mobility munications and Applications volume 2, number 2, May, 2006.
in ad hoc wireless network. Formal Methods for Mobile Computing, 10. Ling-Jyh Chen, Tony Sun, Guang Yang, M. Y. Sanadidi, and Mario
ਗၣ༩d೯࢝̈ɓࢁ͑Ⴣ௰Գஹᇞٙ༆Ӕ˙ࣩiΝ M. Bernardo and A. Bogliolo, eds., LNCS 3465, pp 69-106, ISBN: Gerla. Monitoring Access Link Capacity Using TFRC Probe. To ap-
ࣛdҢࡁɰਗ਼л͜Ңࡁίၣ༩ඎ಻ɪٙҦஔၾ຾ 3540256970, Springer, April 2005. pear in the Computer Communications Journal, Special Issue on
5. Mario Gerla, Ling-Jyh Chen, Tony Sun, and Guang Yang. Ubiquitous Monitoring and Measurements of IP Networks.
᜕dᏐ͜׵อጳٙ΢όၣ༩Ꮠ͜؂ਕ຅ʕdԷνᛌ Video Streaming: A System Perspective. Advances in Pervasive Com-
puting and Networking, B. Szymanski and B. Yener, eds., pp 197-212,
ᔧၣ༩eΝ኎ၣ༩eช಻ၣ༩eၣࣸၣ༩ഃഃdᜫ
ISBN: 0387230424, Springer, 2005.
ཥ໘ၣ༩ʕ΢όᏐ͜؂ਕޫঐԮϞ௰ଣซʘࣖঐf

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