1. Wireless Sensor Network Jing (Selena) He Department of Computer Science Kennesaw State University

2. Content 2 Background 1 Applications of WSNs 2 My Research Areas 3 Discussion 4

3. . Sensors Are Everywhere 3 Background

4. S ENSOR N ODE 4 Background Sensing + Computation + Communication Small weight + Small size Low energy consumption

5. Base Station (Sink Node) Data W HAT IS W IRELESS S ENSOR N ETWORK ? Background 5 Sensor Node

6. Characteristics of WSNs Limited power supply. No pre-defined or fixed infrastructure Multi-hop routing Unstable and unreliable. Low bandwidth. Limited storage capacity and computational ability. 6 Background

7. Content 7 Background Applications of WSNs 2 My Research Areas 3 Discussion 4 1

8. WSN Applications 8 Applications

9. WSN Applications 9 Applications

10. Use body sensors to monitor health status, and enable remote doctor diagnosis without hospital visits WSN Applications 10 Applications

11. Use sensors and actuators to sense and control environments in order to meet the demands of the environment and the health, safety, and productivity of its residents. WSN Applications 11 Applications

12. WSN Applications 12 Applications

13. WSN Applications 13 Applications

14. Intelligent Car Parking System Problem - finding a vacant car parking space in a big parking area.  Wastage of time  Wastage of fuel  Air pollution  Driver frustration 14

15. Intelligent Car Parking System Motivation Provide customers within a parking lot the ability to quickly and easily find an available parking space. Provide a proper indication if there were no remaining parking spaces. Customers - save time and fuel. Owner -maximize the number of people able to park in a given area. 15

16. DEMO 16

17. Content 17 Background Applications of WSNs 2 My Research Areas 3 Discussion 4 1

18. My Research Areas Wireless Sensor Networks – Topology Control – Data Aggregation Online Social Networks – Influence Node Set Selection Problem – Influence Propagation Problem Cognitive Radio Networks – Secondary Users (SUs) to opportunistically exploit unused licensed spectrum without causing unacceptable interference to Primary Users (PUs). 18

19. Interdisciplinary Collaboration Statistical Biology & Chemical Business Applications 19

20. 20 Discussion