Outline l l l Completed works Current works

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Outline l l l Completed works Current works Publications 2

Outline l l l Completed works Current works Publications 2

Completed works l l l Design and Implementation of a Real Time Video Surveillance

Completed works l l l Design and Implementation of a Real Time Video Surveillance System with Wireless Sensor Networks (06 A Group Tour Guide System with RFIDs and Wireless Sensor Networks Design and Implementation of a Load. Balanced Guiding Protocol in Wireless Sensor Networks 3

Current works l l New traffic estimation model for loadbalanced guiding protocol in WSNs

Current works l l New traffic estimation model for loadbalanced guiding protocol in WSNs Broadcast with Dynamic Transmission Power in mobile ad-hoc networks 4

New traffic estimation model for loadbalanced guiding protocol in WSNs l What is the

New traffic estimation model for loadbalanced guiding protocol in WSNs l What is the meaning of load balancing for guiding algorithm in emergency environment? l Average # of people escaping to each exit l l Minimize the escaping time l l People may spend more time to escape due to a longer guiding path A longer guiding is selected means that it has a short delay time … 5

New traffic estimation model for loadbalanced guiding protocol in WSNs l More realistic traffic

New traffic estimation model for loadbalanced guiding protocol in WSNs l More realistic traffic model l l Objects l l l Path capacity People arrival rate Exit output rate Path capacity model Traffic estimation model Guiding direction is selected according to the traffic estimation model 6

Path Capacity Model L λ people Path W μ 7

Path Capacity Model L λ people Path W μ 7

Traffic Estimation Model u Path (u, v) Path (v, w) v w L λ

Traffic Estimation Model u Path (u, v) Path (v, w) v w L λ 1 λ 2 λn λ Twalk W μ Twait Path (u, v) Waiting queue length 8

Waiting Time l Waiting time of a path l Total waiting time of a

Waiting Time l Waiting time of a path l Total waiting time of a path l According to the estimation model, we can make best decision at that time for direction selection 9

Direction Selection: Example • Original method: based on # of people Exit 20 50

Direction Selection: Example • Original method: based on # of people Exit 20 50 • New method: based on minimal delay time μ=20 people/sec Exit 20 C=20 T=1 50 C=50 T=2. 5 Total=3. 5 sec μ =10 people/sec 20 50 C=20 T=2 C=50 T=5 Exit Total=7 sec 10

Publications l l l P. -Y. Chen, W. T. Chen, C. -H. Wu, Y.

Publications l l l P. -Y. Chen, W. T. Chen, C. -H. Wu, Y. -C. Tseng, and C. -F. Huang, “A Group Tour Guide System by RFIDs and Wireless Sensor Networks”, Information Processing in Sensor Networks (IPSN 2007), Boston, USA, April 2007. W. T. Chen, P. -Y. Chen, W. -S. Lee, and C. -F. Huang, “Design and Implementation of a Real Time Video Surveillance System with Wireless Sensor Networks, ” The 67 th IEEE Vehicular Technology Conference (VTC 2008 -Spring), Marina Bay, Singapore, 11 – 14 May, 2008. Under review l l W. T. Chen, C. -H. Wu, C. -F. Huang, and P. -Y. Chen, “A Load-Balanced Guiding Protocol in Wireless Sensor Networks, ” submitted to Wireless Networking Symposium, ICC 2008, Sep. 2007. P. -Y Chen, W. T. Chen, C. -H. Wu, Y. -C. Tseng, C. -F. Huang and Li-Chun Chen, “Providing Group Tour Guide by RFIDs and Wireless Sensor Networks, ” submitted for IEEE Computer, Apr. 2007. 11