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Sensor Module Architecture and Data Processing Framework for Energy Efficient Seamless Signal Processing in WSN  

Hong, Sang-Gi (RFID/USN Research Division, IT Convergence Technology Research Division, Electronics & Telecommunications Research Institute)
Kim, Nae-Soo (RFID/USN Research Division, IT Convergence Technology Research Division, Electronics & Telecommunications Research Institute)
Kim, Whan-Woo (Department of Electronics Engineering, Chungnam National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.48, no.6, 2011 , pp. 9-16 More about this Journal
Abstract
Due to the development and proliferation of ubiquitous technologies and services, various sensor network applications are being appeared on the stage. The needs for algorithms requiring sensor data fusion and complex signal processing with a high-performance processor such as a digital signal processor are also increased. However, it is difficult to use such processor for the low-power sensor network operating with a battery because of power consumption. This paper proposes a hybrid-type sensor module architecture supporting wakeup/sleep software framework for the wireless sensor node and shows the implemented sensor node platform and performances focused on the energy consumption and wakeup time.
Keywords
센서네트워크;저전력 신호처리;하이브리드 센서모듈;웨이크업/슬립 프레임워크;
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  • Reference
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