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Drifter

Modular sensing buoy for acoustic listening, drift mapping, and civic oceanography.

∞ Operational framing

≈ Distributed Drift Infrastructure

Drifter is conceived as a floating sensing device operating within the open waters of the Central Mediterranean. This maritime region functions as one of the most complex logistical corridors in Europe, where environmental forces, shipping routes, surveillance infrastructures, and humanitarian operations intersect. The project introduces a small autonomous buoy designed to inhabit this space as a minimal infrastructural presence, capable of recording environmental parameters, positional data, and communication conditions across a distributed network.

Unlike conventional oceanographic buoys, Drifter is not anchored to a fixed coordinate. The device is designed to move with the sea, responding to currents, wind forcing, and wave interaction. This mobility allows the system to operate as a drifting observational node, generating a continuous trace of environmental conditions and maritime dynamics. Rather than treating drift as instability, the project considers it a methodological condition. Movement becomes a way of understanding how infrastructures behave when exposed to fluid territories where measurement, communication, and control remain partial and constantly shifting.

The map visualises a hypothetical constellation of these devices operating simultaneously within the region. Each node functions as an independent sensing unit while contributing to a distributed network capable of relaying environmental information, signal conditions, and positional data across open water. The configuration suggests how small-scale autonomous devices could generate a lightweight observational layer over maritime environments without relying on centralised monitoring infrastructures.

Open full simulator

Status Levels

Area: Case study (Malta - Lampedusa) Update: 0 Sim: 00:00 Events: 0 Curr: SIM Meteo: SIM Mode: SIM Uplink: SAT (AUTO) LoRa: AUTO (868MHz, SF=9) Color: WAVE Cov +6h: -- Drift +6h: -- Active: 6 Ships: 1 Selected: none

Control Levels

dt 30s

Windage K (AUTO) 0.020

LoRa SF (AUTO) 9

T 0.80

Wind 9.0m/s

WindDir 220�

Wave 1.4m

Curr 0.22m/s

CurrDir 95�

Rain 0.0mm/h

Vis 20.0km

RF noise 10%

Gateway 100%

SAT load 20%

Sea impact 1.00x

Time step (dt)

30 s

Range 5-180 s. Higher values speed up drift and energy/network cycles.

Leeway (k)

AUTO

Derived from prototype hydro model (drogue depth/efficiency).

LoRa model

AUTO

Link budget at 868MHz with FSPL, sea clutter, rain and RF penalties.

Trigger (T)

0.80

Range 0.55-0.95. Lower threshold raises detections and false positives.

Preset Levels

Wind Rain Sea Network

Open full map simulator

Actions

Run from local HTTP server (not file://) to load prototype.json.

ψ Operational and infrastructural framework

ℎ After the Map

The prototype is built around a low-power sensing architecture designed to operate under real environmental constraints. Each buoy integrates positioning sensors, atmospheric and marine measurements, and short-range communication modules capable of exchanging signals with nearby nodes. A microcontroller manages local processing and energy usage, while solar-assisted batteries provide the minimal power required to sustain intermittent transmission cycles. Instead of maintaining continuous connectivity, the system prioritises periodic communication bursts, reducing energy consumption and bandwidth dependency.

Data processing occurs primarily at the edge of the system. Environmental measurements and positional signals are filtered locally before transmission, ensuring that only essential information circulates through the network. This approach reduces data accumulation and avoids reliance on permanent cloud infrastructures. Communication between nodes can occur through low-power radio links or satellite uplinks depending on environmental conditions and signal availability. The result is a flexible communication topology in which each device can operate independently while still contributing to a larger distributed network.

Within this framework, Drifter explores how maritime sensing infrastructures might be redesigned using modular hardware, open communication protocols, and decentralised processing models. Rather than replicating large-scale monitoring systems, the project investigates whether smaller autonomous devices can provide meaningful environmental observations while maintaining low operational cost and reduced technological footprint. The buoy therefore functions both as a working prototype and as a model for lightweight sensing architectures capable of inhabiting dynamic maritime environments.

⚙ Technical

⧗ Technical Specs and Operational Notes

Area	Spec	Operational Notes
Platform	Autonomous floating buoy with stabilized hull and subsurface drogue for hydrodynamic alignment.	No permanent anchoring. Node follows dominant surface currents and remains operational while drifting.
Sensing Stack	GNSS positioning, barometric pressure, temperature, inertial measurement for wave proxy, acoustic threshold detection, RF signal monitoring.	Measures environmental state and communication conditions as structured, timestamped traces.
Computation	Microcontroller-based architecture with local processing and low-power optimization.	Prioritizes edge processing and minimal onboard overhead for long-duration operation.
Energy System	Solar-assisted LiFePO4 battery configuration (240Wh typical), adaptive duty-cycle management.	Schedules sensing and transmission according to battery state and environmental load.
Communication	Interval-based satellite uplink; short-range LoRa relay capability; conditional proximity mode for local data access.	Supports standalone operation and distributed multi-node mesh behavior.
Transmission Logic	Discrete temporal packets; adaptive scheduling based on battery level, signal stability, and environmental thresholds.	Foregrounds latency and delivery reliability as explicit infrastructural parameters.
Operational Model	Autonomous drift; scalable toward multi-node distributed constellation.	Each node remains independently functional while contributing to shared coverage.
Deployment Context	Adaptable maritime routes; current case study in the Central Mediterranean (Malta-Lampedusa region).	Configured for one of Europe's most politically and logistically saturated sea routes.