PPT-TAG: A Tiny Aggregation Service for Ad-Hoc Sensor Networks

Samuel Madden et Al OSDI 2002 Presented by Curtis Wang 1 32911 What is Tiny AGgregation Service that allows for efficient distributed aggregation in wireless sensor networks WSN Provides a SQLlike declarative interface . berkeleyedu Computer Science Division Intel Research Berkeley University of California Intel Corporation Berkeley California Berkeley California ABSTRACT Composed of tens of thousands of tiny devices with very limited resources motes sensor networks 00 57513 2002 IEEE 54 Computer Denial of Service in Sensor Networks ensor networks hold the promise of facili tating largescale realtime data processing in complex environments Their foreseeable applications will help protec While one is often only interested in collecting a relevant function of the sensor measurements at a sink node rather than downloading all the data from all the sensors This paper studies the capacity of computing and transporting the speci64257c fu 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 Recoverable Concealed . Data. Aggregation for Data Integrity . in Wireless. . Sensor Networks. Chien. -Ming Chen, . Yue-. Hsun. . Lin, . Ya-Ching. . Lin, and Hung-Min . Sun. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. 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 . 9933107 . 動機. 14. 林昱彤. 100062119. 資工. 15 . 王敬嘉. Introduction. Goal. Fair Comparison. Hardware, OS selection. Measurement. Application description, . M. easurement approach. Result. Basic Facts. Founded: 6 Feb 1996. Founder: Pradeep Sindhu. Located: Sunnyvale, California, USA. Employees: . 9129. Customers. Juniper sells directly and through resellers to network service providers, enterprises, government agencies, and schools. 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 . SSB Aggregation. Jacobo Tarragón. IT/SDC. November 8. th. , 2013. motivation. s. implify service monitoring. reduced SAM scope. reduced effort. r. euse as much as possible. aggregation maps nicely to SSB virtual metrics. 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 .