Energy-Efficient Transmission in Wireless Sensor Network Using Compressive Sensing

Minimizing energy consumption and maximizing network longevity through efficient data transmission are open research problems in practical wireless sensor networks. The proposed work focuses on data transmission based on two methods: Compressive Sensing (CS) and Partial Canonical Identity matrix-based Compressive Sensing (PCI-CS). The performance of these two methods on different energy-efficient clustering and routing protocols, such as Low Energy Adaptive Clustering Hierarchy (LEACH), Stable Election Protocol (SEP), and Threshold sensitive Energy-Efficient Sensor Network (TEEN) is compared. The combination of CS or PCI-CS, along with these energy-efficient clustering and routing protocols, can immensely reduce energy consumption. Simulation results show that the PCI-CS method outperforms other methods in terms of energy efficiency as well as network longevity.