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General Description. Less impact on. Less impact on. sensing coverage. sensing coverage. More impact on. More impact on. sensing coverage. sensing coverage. Source. Source. Sensing. Sensing. Range. Range. Destination. Destination. Coverage-Preserving Routing Protocol for WSNs.
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Less impact on Less impact on sensing coverage sensing coverage More impact on More impact on sensing coverage sensing coverage Source Source Sensing Sensing Range Range Destination Destination Coverage-Preserving Routing Protocol for WSNs • Distributed, power-balanced multi-hop routing protocol • Coverage-preserving based route-selection algorithm • Achieve the best sensing performance and lifetime • LEACH based, virtual grid based and multi-hop based routing protocols • Implemented on Mica Mote platform
A new link stability prediction method for shadowed environments A more realistic user mobility model and propagation model are considered Can be applied to the applications, such as link performance prediction, system performance analysis, service quality prediction and route search Link Stability Prediction for Mobile Ad Hoc Networks in Shadowed Environments
Determine a random-deployment strategy to optimize the lifetime of the whole WSN Based on the expected power consumption of each sub-area in WSNs Non-uniform node density through the sensing area Consider WSNs with following protocols Cluster-based routing protocols Multihop-based routing protocols Lifetime-Based Random-Deployment for WSNs Multihop Routing Line Server Cluster-based routing (LEACH) Server
Breakthroughs and Major Achievements • Wireless Ad Hoc Networks
Breakthroughs and Major Achievements • Wireless Sensor Networks
Breakthroughs and Major Achievements • Wireless Sensor Networks
Breakthroughs and Major Achievements Wireless Sensor Networks • Link Stability Prediction for Mobile Ad Hoc Networks in Shadowed Environments (100%, Tsai) • Sensing Coverage for Randomly Distributed Wireless Sensor Networks in Shadowed Environments (100%, Tsai) • Coverage-Preserving Routing Protocols for Randomly Distributed Wireless Sensor Networks (100%, Tsai) • Lifetime-Based Random-Deployment for Wireless Sensor Networks (100%, Tsai)
Publications Journal papers : (2006/4/1 ~ 2007/03/31) • Y.-R. Tsai and C.-J. Chang, “SIM-based Subscriber Authentication Mechanism for Wireless Local Area Networks,”Computer Communications, vol. 29, issue 10, pp. 1744-1753, June 2006. (SCI, EI) • Y.-R. Tsai, “Spatial Correlation Models for Total Co-channel Interference and Carrier-to-Interference Ratio in Mobile Cellular Systems,”IEEE Transactions on Wireless Communications, vol. 5, pp. 2752-2759, October 2006. (SCI, EI) • Y.-R. Tsai and S.-J. Wang, “Two-tier Authentication for Cluster and Individual Sets in Mobile Ad Hoc Networks,”Computer Networks, vol. 51, issue 3, pp. 883-900, February 2007. (SCI, EI) • Y.-R. Tsai, “Coverage-Preserving Routing Protocols for Randomly Distributed Wireless Sensor Networks,”IEEE Transactions on Wireless Communications (to appear). (SCI, EI)
Publications Conferences Papers: (2006/4/1 ~ 2007/03/31) • Y.-R. Tsai, T.-Y. Lin and K.-J. Yang, “Sensing Coverage for Randomly Distributed Wireless Sensor Networks in Shadowed Environments,”IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC), Taichung, Taiwan, June 2006. • Y.-R. Tsai, S.-Y. Yeh and K.-J. Yang, “Path Metric-based Navigation Protocol for Wireless Sensor Networks,”Workshop on Wireless, Ad Hoc, and Sensor Networks (WASN), Tao-Yuan, Taiwan, Aug. 2006. • Y.-R. Tsai, “Coverage-Preserving Routing Protocols for Randomly Distributed Wireless Sensor Networks,”IEEE Global Telecommunications Conference (Globecom), San Francisco, USA, Nov.-Dec. 2006. • K.-J. Yang and Y.-R. Tsai, “Link Stability Prediction for Mobile Ad Hoc Networks in Shadowed Environments,”IEEE Global Telecommunications Conference (Globecom), San Francisco, USA, Nov.-Dec. 2006. • S.-J. Wang, Y.-R. Tsai, and J.-W. Chan, “A Countermeasure against Frequent Attacks Based on the Blom-scheme in Ad Hoc Sensor Networks,”IEEEInternational Symposium on Wireless Pervasive Computing (ISWPC), Puerto Rico, Feb. 2007. • Y.-R. Tsai, Y.-W. Hong, Y.-Y. Liao and K.-J. Yang, “The Efficiency and Delay of Distributed Source Coding in Random Access Sensor Networks,”IEEE Wireless Communications and Networking Conference (WCNC), Hong Kong, Mar.2007.