센서 네트워크
Sensor Networks, Spring 2013
- The course will be composed of two tracks: lecture and paper presentation.
- Textbook: Protocols and Architectures for Wireless Sensor Networks, by Holger Karl and Andreas Willig, 2007, Wiley.
- Each student must present one paper chosen from ACM Sensys 2011 and 2012.
- In each class, there will be a quiz on the paper presented the previous week.
- Each student will be evaluated based on his/her performance/record in
- presentation (20%)
- quizzes (20%)
- midterm (20%)
- final (20%)
- attendance (20%)
Schedule
| Weeks | Paper to read | Book chapter | Lecture notes |
|---|---|---|---|
| 1 | Introduction | Ch.1 Ad hoc and sensor networks | Ch.1 |
| 2 | Energy Efficient GPS Sensing, Sensys 2012 (presented by: 김효곤) |
Ch. 2 Single node architecture | GPS with Cloud Ch.2 |
| 3 | Reconfiguring the Software Radio to Improve Power, Price, and Portability (presented by:박용태) |
Ch. 3 Network architecture | uSDR Ch.3 |
| 4 | AutoSense: Unobtrusively Wearable Sensor Suite for Inferring the Onset, Causality, and Consequences of Stress in the Field (presented by: 이서준) |
Ch. 4 Physical layer | AutoSense Ch.4 Quiz #1 Soln. |
| 5 | MusicalHeart: A Hearty Way of Listening to Music (presented by: 김병조) |
Ch. 5 MAC layer | MusicalHeart Ch.5 |
| 6 | PBN: Towards Practical Activity Recognition Using Smartphone-Based Body Sensor Networks (presented by: Chenyu Zhang) SymPhoney: A Coordinated Sensing Flow Execution Engine for Concurrent Mobile Sensing Applications (presented by: 강대명) |
||
| 7 | Doorjamb: Unobtrusive Room-level Tracking of People in Homes using Doorway Sensors (presented by: 이찬영) |
Doorjamb | |
| 8 | Midterm | ||
| 9 | Tracking Unmodified Smartphones Using Wi-Fi Monitors (presented by:김혜민) Using dynamic WSNs in Smart Logistics for Fruits and Pharmacy (presented by:박해월) |
Ch. 6 LLC layer | PBN Ch.6 SmartPoints Tracking |
| 10 | AVEKSHA: A Hardware-Software Approach for Non-intrusive Tracing and Profiling of Wireless Embedded Systems (presented by:이성근) On the Feasibility of Real-Time Phone-to-Phone 3D Localization (presented by: 이정호) |
Ch. 7 Naming and addressing | Ch.7 3D localization Aveksha |
| 12 | Cloud-enabled privacy-preserving collaborative learning for mobile sensing (presented by: 박상민) TALENT:Temporal Adaptive Link Estimator with No Training (presented by:최인엽) |
Ch.8 Cloud TALENT | |
| 13 | Kyun Queue: A Sensor Network System To Monitor Road Traffic Queues (presented by:양승남) IODetector: A Generic Service for Indoor Outdoor Detection (presented by:김태헌) YouProve: Authenticity and Fidelity in Mobile Sensing (presented by:김민자) |
IODetector YouProve Kyun_Queue | |
| 14 | Lossy Links, Low Power, High Throughput (presented by: 김성문) EasyTracker: Automatic Transit Tracking, Mapping, and Arrival Time Prediction Using Smartphones (presented by:이선미) Hierarchical Aggregate Classification with Limited Supervision (presented by:이형주) |
Ch.9 | |
| 15 | A Database in Every Sensor (presented by: Anthony Karoki) | Ch.10 Ch.11 Ch.12 Ch.13 | |
| 16 | Final Exam |