PDF-TinyOS/Motes,nesCTutorialPresentedbyKeLiuDept.OfComputerScience,SUNYBi

TinyOSMotesOverview Mica2Mote MTS310SensorBoard MIB510ProgrammingBoard WhatisTinyOSDevelopedbyUCBerkeleyforBerkeleyMotessensornodesOperatingsystemforMotesOpenSourcedevelopmentenvironmentThesyst. JasonV.DavisJDAVIS@CS.UTEXAS.EDUBrianKulisKULIS@CS.UTEXAS.EDUPrateekJainPJAIN@CS.UTEXAS.EDUSuvritSraSUVRIT@CS.UTEXAS.EDUInderjitS.DhillonINDERJIT@CS.UTEXAS.EDUDept.ofComputerScience,UniversityofTexasa AlgorithmEncryptn,...thenreturnParseinto Applications. Advanced Computer Networks. . TinyOS. Applications Outline. AntiTheft. Example . {done in gradual pieces}. LEDs, timer, booting. Sensing Example. Light Sensor. Wiring to . AntiTheft. Background. Students are asked to write a short essay on the ethical and practical effects of jamming technology such as cell phones. Students also perform a traditional lab on electromagnetic interference patterns with laser pointers and diffraction gratings.. DilipKrishnan,Dept.ofComputerScience,CourantInstitute,NewYorkUniversitydilip@cs.nyu.eduRobFergus,Dept.ofComputerScience,CourantInstitute,NewYorkUniversityfergus@cs.nyu.eduAbstractTheheavy-taileddistri MARTIN XU. MOTES TO COMPARE. IRIS 2.4GHz. MICAz. 2.4GHz. MICA2 868,916 MHz. Imote2. Intel Mote. REFERENCES. http://. www.xbow.com/Products/Product_pdf_files/Wireless_pdf/IRIS_Datasheet.pdf. http://. Development Environment. Jun Yi. For the wireless sensor networks class in 2010. University of Notre Dame. Outline. Hardware Platform. Programming Environment Setup. Wireless Setup. Connection with Motes. Philip . Levis . i. n.  . Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation.  (. OSDI'12). Presented by. Kevin Lee. November 11. th. , 2013. Outline. Introduction to TinyOS. Synapse . RF26X. We started off . with Synapse . RF26X. 10-bit . ADC. Up . to 2 Mbps Data . Rate. 4K internal . EEPROM. 128k flash (58k free for over-the-air uploaded user apps. ). ATmega128RFA1 . single-chip . International Conference on Advances in ICT for Emerging Regions. 2016/09/02. R.E. Hapuarachchi, A. Sayakkara, C. I. . Keppetiyagama. Outline. Introduction & Motivation. Research question. Related work. with a Cubic-. Millimeter Computer. . Table of Contents. Introduction. Background. Basic Idea. Technologies used. Current Scenario. Future Prospects. Conclusion. Introduction. What is Smart Dust. ?. Yin . Chen. †. . . Qiang. Wang. *. . Marcus Chang. †. . Andreas Terzis. †. †. Computer Science Department. Johns Hopkins University. *. Dept. of Control Science and Engineering. Harbin Institute of Technology. D12. . TinyOS. Applications Outline. AntiTheft. . Example . {done in gradual pieces}. LEDs, timer, booting. Sensing Example. Light Sensor. Wiring to . AntiTheft. Single Hop Networks. Active Messages interface. types of Motes in . WSN. Networks and Communication Systems Department. TA. . Maram. . Almuhareb. Mote definition . M. ote is .  . sensor node. , also known as a . . , is a node in a sensor network that is capable of performing some processing, gathering sensory information and communicating with other connected nodes in the network. .