2019/06/25 by Alessandro Chiumento, Chiumento, Alessandro, Nicola Marchetti +3
Chemical Engineering · Computer Science · #Analytical Chemistry and Sensors #Distributed Sensor Networks and Detection Algorithms #Energy Efficient Wireless Sensor Networks #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1906.10453
openalex publication_date 2019/06/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this work an iterative solution to build a network lifetime-preserving\nsampling strategy for WSNs is presented. The paper describes the necessary\nsteps to reconstruct a graph from application data. Once the graph structure is\nobtained, a sampling strategy aimed at finding the smallest number of\nconcurrent sensors needed to reconstruct the data in the unsampled nodes within\na specific error bound, is presented. An iterative method then divides the\nsensor nodes into sets to be sampled sequentially to increase lifetime. Results\non a real-life dataset show that the reconstruction RMSE can be easily traded\noff for a larger number of disjoint sampling sets which improve the network\nlifetime linearly.\n