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- 1. Wireless Sensor Network Jing (Selena) He Department of Computer Science Kennesaw State University
- 2. Content 1 Background 2 Applications of WSNs 3 My Research Areas 4 Discussion 2
- 3. Background Sensors Are Everywhere . 3
- 4. Background SENSOR NODE Sensing + Computation + Communication Small weight + Small size Low energy consumption 4
- 5. Background WHAT IS WIRELESS SENSOR NETWORK? Sensor Node Data Data Data Data Base Station Data (Sink Node) Data 5
- 6. Background 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
- 7. Content 1 Background 2 Applications of WSNs 3 My Research Areas 4 Discussion 7
- 8. Applications WSN Applications 8
- 9. Applications WSN Applications 9
- 10. Applications WSN Applications Level 1 sensor & motes Level 2 (Handheld) Level 3 (PC) Use body sensors to monitor health status, and enable remote doctor diagnosis without hospital visits 10
- 11. Applications WSN Applications 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. 11
- 12. Applications WSN Applications 12
- 13. Applications WSN Applications 13
- 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 1 Background 2 Applications of WSNs 3 My Research Areas 4 Discussion 17
- 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. Discussion 20
Notes de l'éditeur
- First, I will introduce some background information about the topic.And then, I will describe some problems which have not been addressed in the recent literatures.Thirdly, I will show the methods to solve the previously mentioned problems.Followed by the conclusions and future directions.
- Wireless Sensor Networks are now widely used for monitoring and controlling systems where human intervention is not desirable or possible.
- Besides the characteristics of the wireless ad hoc networks, a sensor network also has its own characteristics. 1. Power is the biggest and primary concern in sensor networks. Transmitting consumes much more energy than computations. The power to transmit 1 bit is enough for executing 3000 instructions. That’s why we need to reduce the communication cost as much as possible. 2&3. Since large number of sensor nodes are densely deployed, neighboring nodes may be very close to each other. So, multi-hop communication in sensor networks may consume less power than the traditional single hop communication since the transmission power level of each node can be kept low in sensor networks. 4. Some sensor nodes may fail due to lack of power, physical damage or environmental interference. The failure of some sensor nodes should not affect the overall task of the sensor network.5. Attribute-based naming is used where users are more interested in an attribute rather than an individual node. ‘the areas where the temperature is over 70’, instead of ‘the temperature at node #7’ . Data is what people expect from the sensor networks. Each sensor generates a data stream. Therefore, the amount of the generated data could be huge and how to manage and store the data is a challenging problem in sensor networks.
- First, I will introduce some background information about the topic.And then, I will describe some problems which have not been addressed in the recent literatures.Thirdly, I will show the methods to solve the previously mentioned problems.Followed by the conclusions and future directions.
- First, I will introduce some background information about the topic.And then, I will describe some problems which have not been addressed in the recent literatures.Thirdly, I will show the methods to solve the previously mentioned problems.Followed by the conclusions and future directions.
- CRN: lots of spectrum sensing, spectrum scheduling and management are extensively investigated.Influence Maximization is the problem of finding a certain amount of people in a social network such that their aggregation influence through the network is maximized. For instance, in order to promote a new product, one can give a few influential people free samples of the product. Probably those people will recommend the product to their friends and many individuals will ultimately try it though such “world-of-mouth” effect. The IM problem is how to select the few initial people as seed set, such that the spread of influence can be maximized.