PPT-FIND: Faulty Node Detection for Wireless Sensor Networks

Shuo Guo Ziguo Zhong and Tian He University of Minnesota Twin Cities Background Importance of fault detection in WSNs Node failures gt performance degradation Two types of faults Function fault. g shooter detection Goals of clock synchronization Compensate offset between clocks Compensate drift between clocks terms are explained on following slides Time Synchronization Sensing Localization Duty Cycling TDMA Ad Hoc and Sensor Networks Roger W 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. 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. inWireless. Sensor Networks. Abstract. Wireless sensor networks are vulnerable to the node clone, and several distributed protocols have been proposed to . de¬tect. this attack. . However, they require too strong assumptions to be practical for large-scale, randomly deployed sensor networks. . 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. 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, …. John A. . Stankovic. Presented by:. Sandeep. . reddy. . allu. The technologies for wireless communication, sensing, . and . computation are each progressing at faster and faster . rates. . Notably, they are also being combined for an . Computer Networking: A Top Down Approach . 6. th. edition . Jim Kurose, Keith Ross. Addison-Wesley. March 2012. A note on the use of these . ppt. slides:. We. ’. re making these slides freely available to all (faculty, students, readers). They. .. Wireless is Global. The standard radio frequencies run in the range of 3Hz to 300 GHz. There is other frequencies used for example the 222 MHz through 225 MHz is for amateur radio. If your interested in what frequencies your country is using for what? Take a look at the frequencies. 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 . 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 . 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 .