Compressed Sensing Based Seismic Data Transmission in Wireless Sensor Networks

Wireless sensor networks can provide crucial and real time information in many scenarios of crisis response and management. Such as volcano monitoring and rapid report of aftershock information, wireless sensor networks detect the seismic activity and transmit the data in time to survive the disaster. However, seismic data will be a heavy burden for tiny nodes of wireless sensor networks to process and transmit. In this paper, we present the promising compressed sensing technology to mitigate wireless communication load, data processing and caching complexity on nodes. The performance was studied with simulation method, the system could reconstruction the seismic signal even with low measurement count, and meantime the energy consumption decreases obviously.