Energy-efficient collection scheme based on compressive sensing in underwater wireless sensor networks for environment monitoring over fading channels

Considering the energy-limited and fading channels of large underwater wireless sensor networks (UWSNs) in long-term environment monitoring, an energy-efficient collection scheme based on compressive sensing (CS) in UWSNs for environment monitoring over fading channels is proposed. In this paper, a CS-based UWSNs data collection model is established by exploiting the spatial sparsity of underwater environment data to reduce the number of sensor nodes required. By considering the impact of channel fading on instantaneous power, a packet transmission strategy is deduced to ensure the successful reception of given number of packets. Furthermore, a CS-based energy-efficient collection scheme is proposed based on the model and the strategy to realize an efficient monitoring of the target field and reduce the energy consumption of UWSNs. Performance analysis is conducted and real data example are provided to illustrate the validity of the proposed scheme. (C) 2022 Elsevier Inc. All rights reserved.

Automated summary

An energy-efficient collection scheme based on compressive sensing is proposed for large underwater wireless sensor networks (UWSNs) in long-term environment monitoring. The scheme exploits the spatial sparsity of underwater environment data to reduce the number of sensor nodes required and considers the impact of channel fading on energy consumption. It deduces a packet transmission strategy to ensure successful reception of given number of packets, achieving efficient monitoring of the target field.