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Sensor nodes equipped with various sensory devices can sense a wide range of information regarding human or things, thereby providing a foundation for Internet of Thing (IoT). Fast and energy-efficient data collection to the control center (CC) is of significance yet very challenging. To deal with this challenge, a low redundancy data collection (LRDC) scheme is proposed to reduce delay as well as...
Energy efficiency is a key problem in wireless sensor networks. Keeping only a portion of nodes active and putting the others into sleep mode can conserve energy. In order to maintain satisfactory data quality, we recover the would-be sensed data for sleeping nodes. In this paper, we exploit spatial correlation among densely deployed nodes and use such correlation for data recovery. Loss in data quality...
Data samples sensed from a densely deployed sensor network often exhibit strong spatial and temporal correlation. Sampling and transmitting these highly correlated data through wireless channel would result in excessive energy consumption. One way to conserve energy is to set a portion of sensors into sleep mode provided their missing data can be well recovered by sensors that remain active. Different...
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