PPT-Wireless Sensor Networks (WSNs)

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CS577 Advanced Computer Networks WSN Outline Introduction Mote Revolution Wireless Sensor Network WSN Applications WSN Details Types of Wireless Sensor Networks

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Wireless Sensor Networks (WSNs): Transcript


CS577 Advanced Computer Networks WSN Outline Introduction Mote Revolution Wireless Sensor Network WSN Applications WSN Details Types of Wireless Sensor Networks WSNs Tiered Architectures. In applications with a great number of sensor nodes and a wide area of monitored environment it is not always feasible to replace the battery In some cases even the lo cation of the sensor node is unknown In order to achieve a long lifetime of the s 6-. 1. Chapter 6. Wireless and Mobile Networks. Computer Networking: A Top Down Approach . 4. th. edition. . Jim Kurose, Keith Ross. Addison-Wesley, July 2007. . Computer Networking: A Top Down Approach . Attacks & Countermeasures. Chris Karlof & David Wagner, UC Berkeley. 1. st. IEEE International Workshop on Sensor Network Protocols & Applications 11 May 2003. Report by Jim Gaskell. CS 577, Prof Kinicki, Fall '11. SINKS. Acknowledgement. Xiujuan. Yi (xyi@uci.edu). . Malini. . Karunagaran. Rutuja Raghoji. Ramya. . Tridandapani. Introduction. Typical . sensor network applications generate . large amounts . of data and send that data to the base station . 6-. 1. TCP over ATM:. UBR: for delay-tolerant applications . e.g., ftp, telnet. ABR: . for delay sensitive applications, e.g., on-line sessions. provides explicit congestion signaling. TCP over UBR:. 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, …. Guoliang. Xing. Assistant Professor. Department of Computer Science and Engineering. Michigan State University. Outline. Wireless Coexistence in Open Radio Spectrum. ZigBee. link quality assurance [ICNP10, . 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. 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. 6-. 1. Chapter 6. Wireless and Mobile Networks. Computer Networking: A Top Down Approach Featuring the Internet. , . 6. th. . edition. . Jim Kurose, Keith Ross. Addison-. Wesley. A note on the use of these . August 2015. June 2014. Signal Networks Division. Raymond Shen, PhD. Monitoring equipment is changing. Traditional spectrum monitoring and DF systems are too big, too expensive, and hard to “site” for today’s high-density urban settings . 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. ABSTRACT. Wireless . communication solutions are . gaining momentum in . industrial automation systems, thanks to their well-known advantages, . including higher . levels of flexibility and mobility, and possible cost reductions due to . Moustafa. . elansary.mam@gmail.com. . Faculty of Engineering, Alexandria University, Egypt. . 24 . March 2016 | RIPE NCC / . MENOG 16. MSR. : A Multipath Secure Reliable Routing Protocol for WSNs.

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