PPT-WSNGE: A Platform for Simulating Complex Wireless Sensor Networks

Supporting Rich Network Visualization and Online Interactivity Marios Karagiannis Ioannis Chatzigiannakis Jose Rolim To appear in 42nd Annual Simulation Symposium ANSS09 This work has been partially supported by the IST Program of the European Union under contract number IST200515964 AEOLUS and ICT2008224460 WISEBED. 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 classical/quantum . phase transitions. Ginestra . Bianconi. . Department of Physics, Northeastern . University, Boston. ETC Trento Workshop. Spectral properties of complex networks . Trento 23-29 July, . 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, . 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 . 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. Introduction. Jon Pollock. Senior Network Engineer. Glade Creek Technology. Wireless Concepts. Wireless networks are made of low frequency light. It can help to think of an Access Point as a light bulb. 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 . CS577 . Advanced . Computer Networks . WSN Outline. Introduction. Mote Revolution. Wireless Sensor Network (WSN) Applications. WSN Details. Types of Wireless Sensor Networks (WSNs). Tiered Architectures. 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 . 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