PPT-An Efficient Distributed Trust Model for Wireless Sensor Ne

Author : debby-jeon | Published Date : 2017-05-20

J Jiang G Han F Weng L Shu M Guizani Presenter Kshitij D Karki Topics Related Works Introduction Issues in Existing Literatures on Trust Assessment Assumptions

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An Efficient Distributed Trust Model for Wireless Sensor Ne: Transcript

J Jiang G Han F Weng L Shu M Guizani Presenter Kshitij D Karki Topics Related Works Introduction Issues in Existing Literatures on Trust Assessment Assumptions and Network Model. Presented by:. Vijay Kumar Chalasani. Introduction. This paper proposes “hierarchical trust management protocol”. Key design issues. Trust composition. Trust aggregation. Trust formation. Highlights of the scheme. 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 . 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. Presented By. Al-Sakib Khan Pathan. Department of Computer Science. International Islamic University Malaysia. On the Key Revocation Schemes in Wireless Sensor Networks. Dieynaba. Mall. 1. , . Karim. 488/489. Fall . 2009/Spring 2010. Projects. Mehmet. Can Vuran. Assistant Professor. 107 . Schorr. University of Nebraska – Lincoln. Lincoln, NE 68588-0115. mcvuran@cse.unl.edu. www.cse.unl.edu/~mcvuran. 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, . Range Sensors for Coverage Problems. Akshaye Dhawan, Ursinus College. Aung. . Aung. . and Sushil K. Prasad. Georgia State University. Introduction. Sensor Networks. – Consist of a large number of low cost sensor nodes connected to one or more sinks. 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. Kalman Filtering. By: Aaron . Dyreson. (aaron.dyreson@mavs.uta.edu). Supervising Professor: Dr. . Ioannis. . Schizas. (schizas@uta.edu). Introduction. Topic of Research: The performance of different distributed Kalman Filtering Algorithms in wireless sensor networks. 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. CS577 . Advanced . Computer Networks . WSN Outline. Introduction. Mote Revolution. Wireless Sensor Network (WSN) Applications. WSN Details. Types of Wireless Sensor Networks (WSNs). Tiered Architectures. Model: PAC-USWHS003-1 This sensor allows remote temperature and humidity sensing for any indoor equipment equipped with Kumo Cloud or Kumo Station. It can also be used to activate a humidifier through 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 .

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