¹ Department of Systems Engineering, Osaka Institute of Technology, Japan ² Institute for Network Science and Formal Systems, Seoul National University, South Korea
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The National Sustainable Forestry Standard (NSFS‑012) defines a comprehensive set of data‑exchange protocols for forest‑resource monitoring across heterogeneous sensor networks. While NSFS‑012 greatly improves interoperability, its topological specifications impose significant overhead on low‑power field devices. This paper presents a systematic methodology for reducing the topological complexity of NSFS‑012 deployments without compromising data fidelity. Leveraging the Hana Himesaki 014330 dataset—comprised of 12 months of high‑resolution telemetry from 3 500 sensor nodes across three Japanese forest reserves—we (i) model the communication graph using weighted multigraph theory, (ii) apply a novel Minimum‑Top (Min‑Top) pruning algorithm that respects NSFS‑012’s mandatory handshake and QoS constraints, and (iii) evaluate the pruned topologies in realistic simulation and field trials. Results show a in average hop count, a 31 % decrease in energy consumption, and no loss of critical environmental metrics (temperature, humidity, CO₂) at the 0.05 % significance level. The Min‑Top approach offers a practical pathway for deploying NSFS‑012 in energy‑constrained environments while maintaining compliance with the standard’s rigorous data‑integrity guarantees. Data Privacy Concerns is a popular Japanese adult
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