PPT-Topic 1: Sensor Networks

Author : briana-ranney | Published Date : 2016-07-30

Long Lecture Jorge J Gómez Trickle A SelfRegulating Algorithm for Code Propagation and Maintenance in Wireless Sensor Networks Philip Levis Neil Patel Scott Shenker

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Topic 1: Sensor Networks: Transcript


Long Lecture Jorge J Gómez Trickle A SelfRegulating Algorithm for Code Propagation and Maintenance in Wireless Sensor Networks Philip Levis Neil Patel Scott Shenker and David Culler University of California Berkeley. 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 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 Sensor Applications!Emergency response Ad-hoc and sensor networks are emerging as promising platforms for a variety of application areas in both military and civilian domains. These networks are especially attractive for scenarios where it Abstract. Ad hoc low-power wireless networks are an exciting research direction in sensing and pervasive computing. .. . Prior security work in this area has focused primarily on denial of communication at the routing or medium access control levels. . 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 . DoS Attacks . in . Broadcast Authentication . in . Sensor Networks. . (. Ronghua. Wang, . Wenliang. Du, . Peng. . Ning. ). Advanced Computer Networks . CS577 – Fall 2013. WPI, Worcester.. Presented by . 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. A proposal for an integrated new routing protocol using existing technologies used for underwater communications. By Prajit Kumar Das. For CMSC 601: Research Skills in Computer Science. Date: April 20. Data Acquisition: Sensor Deployment Sink or Local Base Station Data Processing Head Q uarte r External Data Data distribution Confidence Threshold Data Distribution to Other networks Phase Two: 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. 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 . CS577 . Advanced . Computer Networks . WSN Outline. Introduction. Mote Revolution. Wireless Sensor Network (WSN) Applications. WSN Details. Types of Wireless Sensor Networks (WSNs). Tiered Architectures. 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 .

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