Energy-efficient and secure transmission scheme based on chaotic compressive sensing in underwater wireless sensor networks

An energy-efficient and secure encryption data transmission scheme based on chaotic compressive sensing (CCS) is proposed to prolong the lifetime of underwater wireless sensor networks and guarantee the security of data. First, the scheme adopts compressive sensing (CS) by exploiting the sparsity of sensor data in the time domain. A sufficiently long interval is selected as transmission period in this step. The scheme reduces the number of transmissions in a period by sampling the data in each frame and transmitting the data at the end of a period, thereby reducing energy consumption of each sensor. Second, a CCS-based encryption algorithm is proposed to encrypt data at the end of a period to improve the security of transmission. We also provide the shortest repeat transmission strategy based on random access (RA) to deal with complex underwater transmission environments. Finally, real data examples are provided and performance analysis is conducted to illustrate the validity of the proposed scheme.