PPT-Embedded Runtime Reconfigurable Nodes for wireless sensor n

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Chris Morales Kaz Onishi 1 Wireless Sensor Networks Expected to be Autonomous Low Power Context aware Flexible Can have thousands of nodes spread out Makes development

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Embedded Runtime Reconfigurable Nodes for wireless sensor n: Transcript

Chris Morales Kaz Onishi 1 Wireless Sensor Networks Expected to be Autonomous Low Power Context aware Flexible Can have thousands of nodes spread out Makes development and support complicated. and . Replacement in Pipeline Monitoring . TriopusNet. Ted . Tsung-Te. Lai . Albert Wei-. Ju. Chen. Kuei. -Han Li. Polly Huang. Hao-Hua. Chu. National Taiwan University. Motivation. TriopusNet. System Design. Abstract. Ad hoc low-power wireless networks are an exciting research direction in sensing and pervasive computing. .. . Prior security work in this area has focused primarily on denial of communication at the routing or medium access control levels. . . Outline. Background. Classification of Routing Protocols. Data Centric Protocols. Flooding and Gossiping. SPIN. Directed Diffusion. Rumor Routing. Background. Sensor . nodes. Small. , wireless, battery . from sensors to database. Jerry Yang. Overview. Design Requirement. System Framework. Wireless Sensor Networks. Communications Protocols. Data Interpolating. Energy Harvesting. Over-the-Air Programming. Wen-qian Wu. EEL 6935. Shady O. . Agwa. , . Hany. H. Ahmad, . Awad. I. . Saleh. Contents. Background Introduction. 1. Self-reconfigurable Architecture. 2. Xtensa Acceleration Technique. 3. Runtime Profiling. 1 Programming Architectures For RunTime Reconfigurable Systems Katherine Compton Department of ECE Northwestern University Evanston, IL USA kati@ece.nwu.edu Abstract Due to its potential to greatly Wireless Systems. CSEM/CERN workshop. 23. rd. May 2013. Agenda. Wireless at CSEM. RFIC & SOC. RF . protocols (standard and proprietary). Antennas and systems. Wireless . sensor . networks. Wireless technologies for sensing and monitoring. Presented by : Shreya . sriperumbuduri. . Siddharth. . ambadasu. . Jayalakshmi. . muthiah. 1/57. Citation. El-. Araby. , E.; Gonzalez, I.; El-. Ghazawi. , T., "Virtualizing and sharing reconfigurable resources in High-Performance Reconfigurable Computing systems," High-Performance Reconfigurable Computing Technology and Applications, 2008. HPRCTA 2008. Second International Workshop on , vol., no., pp.1,8, 16-16 Nov. 2008. 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, …. Isabel Dietrich. Falko. Dressler. ACM Transaction on Sensor Networks, 2009. Presented by Group 6 . Tianyi. Pan. Why Limited Lifetime for WSNs?. 2. Various application domains. Wildlife monitoring. Precision agriculture. PRESENTED BY:. SAURAV SINGH. OVERVIEW. INTRODUCTION. WINS SYSTEM ARCHITECTURE. WINS NODE ARCHITECTURE. WINS MICRO SENSORS. DISTRIBUTED SENSOR AT BORDER. WINS DIGITAL SIGNAL PROCESSING. CHARACTERSTIC & APPLICATION. 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. Carleton University. Presented by:. Mohamed . Ajal. majal@connect.carleton.ca. Topics of Discussion. Introduction. Power consumption in WSN’s . Wireless MAC protocols. Differences and Constraints. University of California, Berkeley. Joseph . Polastre. Robert . Szewczyk. Cory Sharp. David Culler. “The Mote Revolution: Low Power Wireless Sensor Network Devices” Hot Chips 2004 : Aug 22-24, 2004.

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