A multi-hop routing algorithm for WSNs based on compressive sensing and multiple objective genetic algorithm

• DOI: 10.23919/jcn.2021.000003
• Publication Date: 2021-05-18T17:36:28Z
• Authors: Mohammed Al Mazaideh; Janos Levendovszky
• Keywords: Robustness

Energy-efficiency and reliability are vital metrics of the robustness Wireless Sensor Networks (WSNs). Various data reduction techniques used to improve them, among them compressive sensing (CS) is a technique recover extensive from fewer samples in case sparse representation sensor-readings. Unfortunately, energy-efficiency accuracy contradictory metrics, as increased requires large number measurements, transmissions. Therefore, this paper, CS-based algorithm proposed for efficient transfer through WSNs, which uses multiple objective genetic algorithms (MOGA) optimize transmission range, matrix. The aims at striking right balance between accuracy. It constructs path multi hop manner based on optimized values. Numerical simulations experiments show that Pareto-front, output MOGA, helps user select combination measurements range fitting application hand, strike good energy efficiency results also demonstrate existence measurement matrices lower mutual coherency CS.