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eess.SP2026
Dynamic Sensor Scheduling Based on Node Partitioning of Graphs
Ryouke Ikura, Junya Hara, Hiroshi Higashi +1
This paper proposes a dynamic sensor scheduling method for sensor networks. In sensor network applications, we often need multiple equally-informative node subsets that are activat…
eess.SP2024
Edge Sampling of Graphs: Graph Signal Processing Approach With Edge Smoothness
Kenta Yanagiya, Koki Yamada, Yasuo Katsuhara +2
Finding important edges in a graph is a crucial problem for various research fields, such as network epidemics, signal processing, machine learning, and sensor networks. In this pa…