Compressed Sensing-Based Energy-Efficient Routing Algorithm In Underwater Sensor Networks

Due to the limited energy of nodes and the harsh working environment in underwater sensor networks, designing energy-efficient routing algorithms to achieve data acquisition is particularly important. Using the correlation of original signal in underwater sensor networks, in this paper, an uneven-layered, multi-hop routing based on distributed compressed sensing (DCS-ULM) is proposed to achieve data collection. The simulation results show that DCS-ULM can effectively prolong the lifetime of networks while ensuring the reconstruction accuracy of original data.