PPT-Sensor Network for Localization and Its Application in Heal

Polly Huang Electrical Engineering National Taiwan University httpnslabeentuedutw 1 Road Map Sensor network Indoor localization The system amp testbed Technical challenges Causality Study. Panos Pardalos. Distinguished Professor. Center for Applied Optimization Dept. of Industrial and. Systems Engineering,. University of Florida. DIMACS/. DyDAn. Workshop: Approximation Algorithms. in Wireless Ad Hoc and Sensor Networks. A Survey. Presented By: . Anubhav Mathur. Department of Computer Science. University of Connecticut. Authors:. John Paul Walters, . Zhengqiang. Liang,. Weisong. Shi, and . Vipin. Chaudhary. Department of Computer Science. 9933107 . 動機. 14. 林昱彤. 100062119. 資工. 15 . 王敬嘉. Introduction. Goal. Fair Comparison. Hardware, OS selection. Measurement. Application description, . M. easurement approach. Result. Learning Objectives. Understand why WSNs need localization protocols. Understand localization protocols in WSNs. Understand secure localization protocols. Prerequisites. Module 7. Basic concepts of network security. Infrastructure Establishment for WSN. Localization and Positioning, tracking. : Properties of positioning, Possible approaches, Task driven Sensing, Rolls of Sensor nodes and utilities, Information based sensor tracking, joint routing and information aggregation, Sensor Network Databases-BIGDATA, Sensor network platforms and tools, Single-hop localization, Positioning in multi-hop environments, Impact of anchor placement,. Dr. Xinrong Li. Department of Electrical Engineering. University of North Texas. E-mail: xinrong@unt.edu. Fundamental Limits of Localization with RF Signals. Location sensing modality:. TOA, TDOA, RSS, AOA, proximity, fingerprinting, …. Patrick Lazar, . Tausif. . Shaikh. , Johanna Thomas, . Kaleel. . Mahmood. . University of Connecticut . Department of Electrical Engineering. Outline. Background. Objective. Hardware/Software. Methods. A major challenge . in mobile robotics is accurate localisation.. Consider a robot with the following sensors:. Inertial Measurement Unit (IMU). Camera. Wheel Encoders. Global Positioning. Each . has . Liu Y, Yang Z, Wang X et al. . JOURNAL . OF COMPUTER SCIENCE AND. TECHNOLOGY, Mar. . . 2010. Slides prepared by . Lanchao. . Liu and Zhu Han. ECE Department, University of Houston. Outline. Location. Matthai Philipose, Kenneth P Fishkin, . Dieter Fox, Dirk Hahnel, Wolfram Burgard. Presenter: Aniket Shah. Outline. Introduction. Related Work. Probabilistic Sensor Model. Mapping. Localization. Experimental Results. Security. Babak . D. Beheshti. Professor & Associate Dean,. School . of Engineering & Computing . Sciences, New . York Institute of Technology. Old Westbury, NY, USA. Presenter and Date. Agenda. Dr. Kung Yao. Distinguished Professor. Electrical Engineering Dept.. NSF Center for Embedded Networked Sensing. UCLA. Presentation at Aerospace Corp.. Nov. 3, 2011. Contents. Introduction to . beamforming. Cross-Layered Design of Sensor Networks. I. Fundamentals . - . Basics of Wireless Ad-Hoc Networks. - Autonomous Systems. - Communication Models and Algorithms. II. Design of Wireless Sensor Networks . MPSoC. Yao Wang. , Yu Wang, . Jiang . Xu. , . Huazhong. Yang. EE. Dept, . TNList. , . Tsinghua. University, Beijing, China. . Computing System Lab, Dept. of ECE. Hong Kong University of Science and Technology, Hong Kong, China.