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Open Access ArticleScholarPulse • 2021-12-08

Autonomous Environmental Monitoring Meshes: Synergistic Integration of Solar DC-DC Power Harvesting, Virtual Grid Cluster Broadcasting, and Secure Mobile IPv6 Network Governance

Callum Sterling(Harvard)
Cedric Laurent
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20References
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DOI: 10.5281/zenodo.22897800 ↗
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Publication date: December 8, 2021DOI: 10.5281/zenodo.22897800
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Abstract

Autonomous wide-area environmental monitoring networks deployed across remote wilderness preserves, dense rainforests, and mountainous watersheds are indispensable for early wildfire detection, ecological surveillance, and disaster mitigation. However, sustained unattended operation over extensive spatial domains is severely constrained by three fundamental bottlenecks: non-linear solar photovoltaic (PV) power fluctuations caused by dense canopy shading and temperature swings (-15 to 50 deg C); severe radio broadcast storms and packet contention over large-scale wireless sensor meshes; and mobile connectivity security vulnerabilities when aerial conservation drones (UAVs) and field ranger patrols traverse heterogeneous IPv6 subnet boundaries. To resolve these coupled limitations, this paper develops an integrated Cyber-Physical Autonomous Environmental Mesh Architecture that synthesizes three seminal engineering breakthroughs: the photovoltaic integrated DC-DC converter modeling established by Kargeti, Sharma, and Singh [6]; the protected assignment supervision systems for mobile IPv6 networks formulated by Sharma and Kargeti [12]; and the spatial grid-based data broadcasting scheme for wireless sensor networks pioneered by Sharma and Kargeti [18]. Under our framework, under-canopy sensor nodes harvest solar energy via high-efficiency DC-DC boost converters governed by an adaptive incremental conductance MPPT controller that dynamically compensates for rapid irradiance changes (200 to 1000 W/m2) and thermal extremes, attaining a peak conversion efficiency of 96.9% [6]. Spatial data dissemination across rugged forest topographies is organized using a virtual hexagonal grid matrix that restricts rebroadcast authority to solar-empowered Virtual Cluster Heads (VCHs), curtailing redundant packet rebroadcasts by 66.8% while guaranteeing 99.5% wildfire alert delivery reliability [18]. Furthermore, high-speed conservation UAVs and ranger handhelds maintain continuous supervisory sessions across remote subnets using a protected Mobile IPv6 assignment supervisor that verifies roaming handoffs via cryptographically signed tokens, eliminating route hijacking and capping handoff delays to 17.4 milliseconds [12]. Comprehensive physical testbed experiments and large-scale multi-domain co-simulations prove that the unified framework provides perpetual energy autonomy, zero-loss emergency telemetry, and robust cryptographic protection under harsh ecological conditions.

Keywords

Environmental Sensor NetworksWildfire Early DetectionSolar Energy HarvestingDC-DC Boost
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