PPT-SenMinCom: Pervasive Distributed Dynamic Sensor Data Mining

Outline What is SenMinCom Past Works amp Why SenMinCom How SenMinCom SenMinComs Contributions Current Methods vs SenMinCom SenMinComs Simulations Shopping Model Mobile Device Usage Model. (http://pervasivedatasolutions.com/store/product.aspx?pid=432&action=addtocart). Sign up for an Amazon Web Services account. (http://www.amazon.com/gp/aws/registration/registration-form.html). Agenda. Hen-I Yang, PhD Candidate. Computer and Information Science and Engineering Department. University of Florida. May 1, 2008. Pervasive computing. Source: Mobile Computing “Introduction to Pervasive Computing” lecture. From wireless sensor networks towards Cyber . P. hysical systems. Fang-Jing Wua, Yu-Fen Kaob, Yu-. Chee. Tsenga. ,. a. Department of Computer Science, National Chiao Tung University, Hsinchu, 30010, Taiwan. Massimo . Brescia. (1). ,. . Stefano. . Cavuoti. (2). , . Raffaele . D’Abrusco. (3). , . Omar . Laurino. (4). , . Giuseppe . Longo. (2). INAF . –. National . Institute. . of. . Astrophysics. Outline. What is SenMinCom ?. Past Works & Why SenMinCom ?. How SenMinCom ?. SenMinCom’s Contributions . Current Methods v/s SenMinCom . SenMinCom’s Simulations. Shopping Model. Mobile Device Usage Model. A tutorial. Gary M. Weiss. Fordham University. gweiss@cis.fordham.edu. These slides available from http://storm.cis.fordham.edu/~gweiss/presentations.html. What is a Smart Phone?. What is a smart phone and what does it do? What devices can it replace? . A tutorial. Gary M. Weiss. Fordham University. gweiss@cis.fordham.edu. These slides available from http://storm.cis.fordham.edu/~gweiss/presentations.html. What is a Smart Phone?. What is a smart phone and what does it do? What devices can it replace? . Gary M. Weiss. Fordham University. gweiss@cis.fordham.edu. Background and Motivation. Smart phones are ubiquitous. As of 4. th. quarter 2010 outpaced PC sales. We carry them everywhere at almost all times. Applications:. . Ubiquitous. . Possibilities. . A tutorial. Slides . available . from: http. ://storm.cis.fordham.edu/~gweiss/presentations.html. Gary M. Weiss. Fordham University. gweiss@cis.fordham.edu. Spring 2009. L. -22 Sensor Networks. 2. Overview. Ad . hoc routing. Sensor Networks. Directed Diffusion. Aggregation. TAG. Synopsis . Diffusion. Ad Hoc Routing. Goal: Communication between wireless nodes. 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 . Yi Xu C ONTACT I NFORMATION Phone : (352)328 - 6367 E451, Computer Science & Eng. Bldg E - mail : yixu@cise.ufl.edu University of Florida Web: www.cise.ufl.edu/~yixu E DUCATION B ACKGROUND University Derwent classification to the US classification, and, consequently, to the fulltext of patents online at the USPTO. There are many other practical examples of how distributed higher-order rules can be 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 .