Research Article
1-Bit Compressive Data Gathering for Wireless Sensor Networks
Algorithm 1
Proposed 1-bit CS framework.
Sensor node’s operation: | (1) Sample and buffer sensory data , then generate projection computed from (6); | (2) Calculate the norm value of original sensory data ; | (3) Send norm_x and projection to base station. | Base station’s operations: | (1) After receiving norm_x and projection from the sensor node, base station solves (7) | and get normalized coefficients from blind_1_bit_cs (, ), here blind_1_bit_cs function | can be any blind CS reconstruction algorithm that needs no prior sparse level information. | (2) Computing the estimated original sensory data | , here is the transpose of , and . |
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