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The Center for Embedded Networked Sensing ( CENS) was [1] a research enterprise funded by the National Science Foundation based at the University of California, Los Angeles . CENS was established at UCLA in 2002. The group conducted research primarily in the computer science subfield of embedded sensor networks.
UCLA. Center for Embedded Network Sensing. About. CENS, a NSF Science & Technology Center, is developing Embedded Networked Sensing Systems and applying this revolutionary technology to critical scientific and social applications.
Mar 18, 2019 · The Center for Embedded Networked Sensing ( CENS) was [1] a research enterprise funded by the National Science Foundation based at the University of California, Los Angeles. CENS was established at UCLA in 2002. The group conducted research primarily in the computer science subfield of embedded sensor networks.
Center for Embedded Networked Sensing Benefits • Tenet applications run on Masters Masters task motes. Motes sense and locally process generated sensor data. Results are delivered to the application program which can then fuse the results, and re-task the motes or trigger other sensing modalities. • Case study: Pursuit–evasion application
About: Center for Embedded Network Sensing is an academic journal. The journal publishes majorly in the area(s): Wireless sensor network & Key distribution in wireless sensor networks. Over the lifetime, 373 publications have been published receiving 24128 citations.
Aug 1, 2002 · Abstract. The research focus of the Center for Embedded Networked Sensing (CENS) will be the fundamental science and engineering research needed to create scalable, robust, adaptive, sensor/actuator networks. The vision of densely distributed, networked sensing and actuation requires advances in many areas of information technology.
This work investigates the network topology according to the region of deployment, the number of deployed sensors, and their transmitting/sensing ranges, and shows how these results affect algorithmic aspects of the network by designing specific distributed protocols for sensor networks.
