CESRN: Community Environmental Sensor Resource
Network
Placing the collection, distribution, and economics of environmental and climate sensor data into the hands of communities.
Network Era
Since the birth of networks, data, data management, data distribution, and controls have been managed through government and private enterprise to great effect, allowing this transformative communications mechanism to scale to where it is today, covering virtually the entire planet and impacting the lives of billions of people. As networks grew, and connections between networks became more prevalent, industries began to realize the potential of this accelerated connectedness, and thus the world wide web was created, leading to yet even more innovation and market growth. Along this journey, community networks began to emerge. Where governments or the private sector were unable to provide the necessary connectivity, community leaders began acquiring and deploying their own communications infrastructure. However, the question of data ownership, monetization, and governance has continued to be a challenge yet to be addressed.
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As these networks, public, private, community, continued to grow, the amount of data generated annually has grown year-over-year, with an almost parabolic growth since 2010. It is estimated that 90% of the world's data was generated in the last two years alone. Yet, Access to unaltered data can be hard to attain.
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Many times, the data is locked up in proprietary systems or inaccessible because of security or regulatory requirements. If data is available, it tends to be manipulated or conditioned. These roadblocks influence the level and types of outcomes that can truly be created and also stifle innovation. For true innovation to occur, solution developers need access to large amounts of unaltered data. They need data sources without the burden of creating or establishing the collection devices or networks. That creates a need for infrastructure to collect, store, and transport data securely to lots of unique individuals that are trying to innovate.
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Similarly, during the early years of the Internet, unique networks and devices were created and connected. Minimal security was implemented and communication was established via their physical address. Managing these addresses became the responsibility of a central body IANA (Internet Assigned Numbers Authority). As the Internet scaled it became impossible for every unique number to be remembered and usable by individuals. To make system access simpler the Domain Name Services (DNS) system was devised. This system allowed for a decentralized service to be established so that physical addresses could be matched with common names. Names made it easier to access information. Top-level control, maintenance, and the root token ownership of the DNS system is the responsibility of IANA. Eventually, security began to be introduced to ensure bad actors did not corrupt or manipulate the entire network.
Fast forward over 40 years since DNS was first created. Its adoption has allowed for rapid growth of the Internet as we know it today. We are at the same tipping point for IoT (Internet of Things) based networking today. We do not have to recreate the Internet to make IoT usable, we need to create a model where data can be collected and shared broadly.

The Rise of DePIN
Two new concepts exist for devices and resources networking and access that are promising for creating a truly scalable network of things:
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Decentralized Physical Infrastructure Network (DePIN)
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Decentralized Resource Network (DeREN)
DePINs decentralize applications that use tokens to incentivize people to provide services via real-world physical infrastructure/machines/devices.
DeRENs leverage incentives to build marketplaces and increase the supply of fungible resources that rely on location-independent hardware.
Our solution will create a roadmap for developing a hybrid DePIN/DeREN network and resource model for an organized community of innovators. Our first focus will be on air quality data and deployment of a minimal viable product (MVP) for deployment along with a secured mechanism that allows for device deployment, management, and data collection. Our device model will include a system for creating incentives and contracts for all people deploying and maintaining actual devices. This solution will be the model for other rapidly deployable secured infrastructures expanding the knowledge of many different areas including but not limited to air, water, energy, food, and sustainability.
Data needs to be normalized, i.e using Fahrenheit as a temperature measure to the 10th of a degree vs just a number for temperature. This is different from conditioning information, i.e. the average temperature over the last 15 minutes. The closer we can get the model to a raw data format the more broadly accepted the solution will be.
Much like the creation of IANA, there is a need to create an open organized community of innovators. In the early stages, decisions will be made and established through the Open Sustainable Collaborative (OSC) with the expectation that all functions will be transferred to a later-formed organization sometime in the future.
A major part of establishing a system that will have longevity and be accepted as an open system, equally available to all seeking information, requires a central body that is responsible for the rules that will apply to the entity.
Our proposal includes the creation of a Decentralized Autonomous Organization (DAO) as the legal structure with no central governing body. The DAO members share a common goal to act in the best interest of the entity.
DAOs rely heavily on smart contracts. Coded agreements dictate decision-making. Voting is posted via blockchain, the underlying foundation of the DAO. Voters have weighted power depending on the number of tokens they possess. DAOs offer the most flexible entity to establish a decentralized resource network.

Driving Factors
The global environmental crisis demands accurate, real-time data collection on a massive scale. Traditional methods of environmental monitoring are often:
- Limited in geographical coverage
- Expensive to implement and maintain
- Infrequently updated
- Controlled by centralized authorities
A decentralized, global network of individual data providers could address these limitations, offering:
- Comprehensive geographical coverage
- Cost-effective data collection
- Real-time, continuous monitoring
- Democratized data access and control
- Incentivized contribution and consumption economics

Use Cases
The collected environmental data would serve multiple purposes:
- Scientific Research: Providing vast datasets for climate change studies, ecological assessments, and environmental impact analyses.
- Policy Making: Informing evidence-based environmental policies at local, national, and international levels.
- Urban Planning: Guiding sustainable development and smart city initiatives.
- Agriculture: Optimizing farming practices based on hyperlocal environmental conditions.
- Public Health: Monitoring air and water quality to prevent health crises.
- Environmental Conservation: Identifying areas of concern for targeted conservation efforts.
- Education: Raising environmental awareness through accessible, real-time data.
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Incentive Structure
3. Incentive Structure
To encourage widespread participation, the network would implement a token-based incentive system:
- Data Provision Rewards: Participants earn tokens for contributing valid, high-quality data.
- Quality Bonuses: Additional rewards for consistently accurate and reliable data.
- Geographical Incentives: Higher rewards for data from underrepresented areas.
- Equipment Subsidies: Token-based discounts or grants for purchasing approved monitoring equipment.
- Stake-based Governance: Token holders can participate in network governance decisions.
- Data Marketplace: Tokens can be used to access premium data services or exchanged for other cryptocurrencies/fiat.
To encourage widespread participation and promote sustainability, the network would implement a token-based incentive system:
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Data Provision Rewards: Participants earn tokens for contributing valid, high-quality data.
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Quality Bonuses: Additional rewards for consistently accurate and reliable data.
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Geographical Incentives: Higher rewards for data from underrepresented areas.
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Equipment Subsidies: Token-based discounts or grants for purchasing approved monitoring equipment.
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Stake-based Governance: Token holders can participate in network governance decisions.
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Data Marketplace: Tokens can be used to access premium data services or exchanged for other cryptocurrencies/fiat.
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Green Power Incentives: Additional rewards for nodes powered by renewable energy sources.
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Project CESRN
Our project will include several phases that will be completed as required:
Organization Creation (DAO)
Market assessment
Research existing tools and networks
I.E. IOTEX, Breezometer, Helium, AirSense
Minimal Viable Product (MVP) as it relates to a sensor or resource device
Bake offs and Workshop
Establish solution guidance
Data models
Data formatting
Data extraction tools
Roadmap for adding sensors and data models
Connection types and methods
Resource requirements
Document onboarding process
Create a roadmap to production
Build a model product
Establish a marketplace (through a distributor or partner)
The Open Sustainability Collaborative (OSC) seeks funding to assist in the establishment of the foundational components of the DAO. Additionally, funds are required to establish a MVP and all that goes with that, including the foundation components for the DePIN/DeREN hybrid, community template, and engagement model.
OSC will work with the industry and potential partners. These partners include organizations that will collect, share, and consume data from the network. It is important to understand that there are many levels in which value is added by this effort. While effort from a global organization can provide a large-scale benefit, the quickest results will be in the impact on local or regional efforts.
This effort and its phases will construct a foundation for data collection and sharing that will long outlive this particular project. This foundational work will take several years depending on engagement and funding. To start this effort and make an immediate impact we will need xxxx amount to be used in the following way:
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Articles and incorporation $$$
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Fundamental components $$$
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Workshop of interested parties $$$
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Back-off for MVP $$$
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MVP Modeling $$$
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Maintenance and ongoing effort until self sustaining $$$

DePIN Based Global Environmental Data Networks
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1. Need
The global environmental crisis demands accurate, real-time data collection on a massive scale. Traditional methods of environmental monitoring are often:
​
- Limited in geographical coverage
- Expensive to implement and maintain
- Infrequently updated
- Controlled by centralized authorities
A decentralized, global network of individual data providers could address these limitations, offering:
​
- Comprehensive geographical coverage
- Cost-effective data collection
- Real-time, continuous monitoring
- Democratized data access and control
- Incentivized contribution and consumption economics
2. Use
The collected environmental data would serve multiple purposes:
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Scientific Research: Providing vast datasets for climate change studies, ecological assessments, and environmental impact analyses.
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Policy Making: Informing evidence-based environmental policies at local, national, and international levels.
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Urban Planning: Guiding sustainable development and smart city initiatives.
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Agriculture: Optimizing farming practices based on hyperlocal environmental conditions.
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Public Health: Monitoring air and water quality to prevent health crises.
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Environmental Conservation: Identifying areas of concern for targeted conservation efforts.
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Education: Raising environmental awareness through accessible, real-time data.​
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3. Incentive Structure
To encourage widespread participation, the network would implement a token-based incentive system:
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Data Provision Rewards: Participants earn tokens for contributing valid, high-quality data.
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Quality Bonuses: Additional rewards for consistently accurate and reliable data.
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Geographical Incentives: Higher rewards for data from underrepresented areas.
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Equipment Subsidies: Token-based discounts or grants for purchasing approved monitoring equipment.
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Stake-based Governance: Token holders can participate in network governance decisions.
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Data Marketplace: Tokens can be used to access premium data services or exchanged for other cryptocurrencies/fiat.
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Green Power Incentives: Additional rewards for nodes powered by renewable energy sources.
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Infrastructure Requirements
1 Hardware
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Sensor Nodes: Low-cost, energy-efficient devices capable of measuring various environmental parameters (e.g., air quality, soil moisture, noise levels).
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Edge Devices: Local hubs for data aggregation and preliminary processing.
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Blockchain Nodes: Distributed network of computers maintaining the blockchain and smart contracts.
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Low-Cost Devices for Environmental Data Collection
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This document outlines various low-cost sensors and devices that could be integrated into a DePIN-based global environmental data network. These devices are designed to be affordable, easy to use, and capable of providing valuable environmental data.
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a. Air Quality Sensors
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1 Particulate Matter (PM) Sensors
- Device: Plantower PMS5003
- Cost: $15-$25
- Measures: PM1.0, PM2.5, and PM10
- Features: Low power consumption, digital output, compact size
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2 Multi-Gas Sensors
- Device: SGX MICS-4514
- Cost: $10-$20
- Measures: Carbon Monoxide (CO), Nitrogen Dioxide (NO2)
- Features: High sensitivity, fast response time
3 Ozone (O3) Sensor
- Device: MQ131 Ozone Sensor
- Cost: $5-$15
- Measures: Ozone levels
- Features: High sensitivity to O3, long life
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b. Water Quality Sensors
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1 pH Sensor
- Device: DFRobot Gravity Analog pH Sensor
- Cost: $30-$40
- Measures: pH levels in water
- Features: Wide detection range, high accuracy
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2 Turbidity Sensor
- Device: SEN0189 Turbidity Sensor
- Cost: $10-$20
- Measures: Water turbidity
- Features: Analog and digital output, suitable for various water bodies
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3 Conductivity Sensor
- Device: DFRobot Gravity Analog Electrical Conductivity Sensor
- Cost: $40-$50
- Measures: Electrical conductivity in water
- Features: Wide measurement range, temperature compensation
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c. Soil Condition Sensors
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1 Soil Moisture Sensor
- Device: Capacitive Soil Moisture Sensor v1.2
- Cost: $5-$10
- Measures: Soil moisture content
- Features: Corrosion-resistant, low power consumption
2 Soil Temperature Sensor
- Device: DS18B20 Waterproof Temperature Sensor
- Cost: $3-$8
- Measures: Soil temperature
- Features: Waterproof, wide temperature range
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3 Soil NPK Sensor
- Device: SGX-NDK-4 Soil NPK Sensor
- Cost: $50-$100
- Measures: Nitrogen, Phosphorus, and Potassium levels
- Features: Multi-parameter measurement, suitable for agricultural applications
d. Weather Stations
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1 Wind Speed and Direction Sensor
- Device: Anemometer Wind Speed Sensor
- Cost: $20-$40
- Measures: Wind speed and direction
- Features: No moving parts, ultrasonic measurement
2 Temperature and Humidity Sensor
- Device: DHT22 Temperature and Humidity Sensor
- Cost: $5-$10
- Measures: Air temperature and relative humidity
- Features: Digital output, wide measurement range
3 Barometric Pressure Sensor
- Device: BMP280 Pressure Sensor
- Cost: $5-$15
- Measures: Atmospheric pressure
- Features: High precision, low power consumption
e. Noise Level Sensors
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1 Sound Level Meter
- Device: MAX9814 Electret Microphone Amplifier
- Cost: $5-$10
- Measures: Sound intensity
- Features: Automatic gain control, wide dynamic range
f. Radiation Sensors
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1 Geiger Counter
- Device: RadiationD-v1.1 Geiger Counter
- Cost: $70-$100
- Measures: Ionizing radiation
- Features: Compact size, USB interface for data logging
g. Integration and Connectivity
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To connect these sensors to the DePIN network, low-cost microcontrollers and communication modules can be used:
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1 Microcontroller
- Device: ESP32 Development Board
- Cost: $5-$15
- Features: Wi-Fi and Bluetooth connectivity, low power modes, sufficient processing power for sensor data
2 LoRaWAN Module
- Device: RFM95W LoRa Module
- Cost: $10-$20
- Features: Long-range communication, low power consumption, ideal for remote deployments
h. Power Solutions
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For autonomous operation, especially in remote areas:
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1 Solar Panel
- Device: 5W Solar Panel
- Cost: $10-$20
- Features: Weather-resistant, suitable for charging small batteries
2 Battery
- Device: 3.7V 2500mAh Li-Ion Battery
- Cost: $5-$10
- Features: Rechargeable, suitable for long-term deployments when paired with solar panel
i. Considerations for Implementation
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- Calibration: Regular calibration of sensors is crucial for maintaining data accuracy.
- Weather-proofing: Sensors exposed to the elements need appropriate enclosures.
- Data Validation: Implement cross-checking mechanisms to identify faulty sensors.
- Ease of Use: Design plug-and-play solutions to encourage non-technical users to participate.
- Open-Source Hardware: Encourage the development of open-source sensor designs to reduce costs further.
By combining these low-cost sensors with affordable microcontrollers and communication modules, it's possible to create comprehensive environmental monitoring stations for under $200, making widespread deployment feasible for the DePIN-based global environmental data network.
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2 Software
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- Blockchain Platform: A scalable, energy-efficient blockchain (e.g., Tashi, Conduit, IoTex, Oko) to handle data transactions and token distribution.
- Smart Contracts: To automate data validation, token distribution, and governance processes.
- Mobile/Web Applications: User-friendly interfaces for data submission, account management, and network participation.
- Data Validation Algorithms: AI/ML models to ensure data quality and detect anomalies.
- Open APIs: To allow integration with existing environmental monitoring systems and third-party applications.
3 Network
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- IoT Connectivity: Utilizing low-power wide-area networks (LPWAN) like LoRaWAN for sensor communication.
- Interoperability Protocols: Ensuring seamless data exchange between different types of sensors and systems.
- Decentralized Storage: Using systems like IPFS to store large volumes of environmental data.
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4 Governance
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- Decentralized Autonomous Organization (DAO): To manage network upgrades, parameter adjustments, and fund allocations.
- Expert Advisory Board: Environmental scientists and technologists to guide network development and ensure scientific validity.
- Community Forums: Platforms for stakeholder discussions, proposal submissions, and collaborative problem-solving.
5 Renewable Energy Integration
The network aims to be entirely powered by renewable energy sources, aligning its operations with its environmental mission:
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Solar Panels: Primary power source for sensor nodes and edge devices in most locations.
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Wind Turbines: Supplementary power for areas with high wind potential.
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Micro-hydro Systems: Power generation for nodes near flowing water sources.
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Geothermal Energy: Stable power source for blockchain nodes in geothermally active regions.
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Energy Storage: Battery systems to ensure continuous operation during low renewable generation periods.
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Smart Grid Integration: Allowing excess energy to be fed back into local power grids where possible.
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6 Proof of Green Power
To incentivize and verify the use of renewable energy:
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Energy Monitoring Devices: Integration of smart meters or energy monitoring systems with each node.
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Blockchain Attestation: Regular submission of energy source and consumption data to the blockchain.
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Verification Mechanism: Consensus algorithms to verify the authenticity of renewable energy claims.
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Green Certificates: Issuance of tradeable green energy certificates for surplus renewable energy generation.

Challenges and Considerations
- Data Privacy: Balancing transparency with location privacy of individual contributors.
- Regulatory Compliance: Navigating diverse environmental and data protection laws across jurisdictions.
- Data Quality Assurance: Developing robust mechanisms to prevent false or manipulated data.
- Scalability: Ensuring the network can handle millions of data points without compromising performance.
- Environmental Impact: Minimizing the carbon footprint of the network itself.
- Accessibility: Bridging the digital divide to ensure global participation.

Roadmap
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Proof of Concept: Develop and test a small-scale prototype in a limited geographical area.
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Pilot Program: Expand to multiple regions, refine incentive structures and governance mechanisms.
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Global Launch: Open the network for worldwide participation, focusing on rapid adoption.
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Ecosystem Development: Foster the creation of applications and services built on the collected data.
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Interoperability: Establish partnerships with existing environmental monitoring networks and databases.
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Continuous Improvement: Ongoing upgrades based on scientific advancements and community feedback.
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Green Power Transition: Phased approach to transition all network nodes to renewable energy sources, with continuous refinement of the proof of green power mechanism.

Tokenomics Model
1 Token Overview
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Name: Environmental Data Token (EDT)
Total Supply: 1,000,000,000 EDT
Distribution:
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- 40% for data provider rewards
- 20% for network development and maintenance
- 15% for ecosystem growth and partnerships
- 10% for community governance
- 10% for founding team (vested over 4 years)
- 5% for initial liquidity provision
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2 Token Utility
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- Data Provision Rewards
- Governance Participation
- Access to Premium Data Services
- Stake for Node Operation
- Payment for Data Consumption
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3 Reward Mechanisms
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3.1 Base Data Provision Reward
- 1 EDT per valid data point submitted
- Adjusted based on network activity and token inflation rate
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3.2 Data Quality Multiplier
- Range: 0.5x to 2x
- Based on historical accuracy and consistency of data
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3.3 Geographical Incentive Multiplier
- Range: 1x to 3x
- Higher multiplier for underrepresented areas
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3.4 Green Power Multiplier
- Range: 1x to 1.5x
- Based on the percentage of renewable energy used
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3.5 Sensor Diversity Bonus
- Additional 10% reward for each unique type of sensor operated
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3.6 Long-term Commitment Bonus
- 5% increase in rewards for each consecutive month of operation, up to 50%
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4 Staking Mechanism
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- Minimum Stake: 1,000 EDT to operate a node
- Staking Rewards: 5% annual yield, paid in EDT
- Slashing: Up to 10% of stake for consistent low-quality data or malicious behavior
5 Governance
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- Proposal Submission: 10,000 EDT required to submit a proposal
- Voting Power: 1 EDT = 1 vote
- Quorum: 10% of circulating supply must participate for a vote to be valid
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6 Data Marketplace
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- Data Consumers: Pay in EDT for access to network data
- Pricing Model: Dynamic pricing based on data quality, rarity, and demand
- Revenue Split: 70% to data providers, 30% to network treasury

Hardware Requirements and Renewable Energy Integration and Mining
This section outlines the hardware requirements for a standard mining node in the DePIN-based Global Environmental Data Network, with a focus on renewable energy integration and potential partnerships for cost-effective solutions.
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1 Core Hardware Components
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1.1 Processing Unit
- Recommended: Raspberry Pi 4 Model B (4GB or 8GB RAM)
- Alternative: NVIDIA Jetson Nano (for nodes requiring more processing power)
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1.2 Storage
- Minimum: 64GB high-endurance microSD card
- Recommended: 256GB SSD for improved performance and longevity
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1.3 Connectivity
- Primary: Ethernet port for stable connection
- Backup: 4G/LTE modem for areas with unreliable landline internet
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1.4 Sensors (Examples based on environmental parameters)
- Air Quality: Plantower PMS5003 for particulate matter
- Temperature and Humidity: DHT22 sensor
- Soil Moisture: Capacitive Soil Moisture Sensor v1.2
- Water Quality: Atlas Scientific pH Sensor Kit
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1.5 Enclosure
- Weather-resistant IP65 rated enclosure
- UV-resistant for long-term outdoor deployment
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2 Renewable Energy Components
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2.1 Solar Panel
- Recommended: 50W monocrystalline solar panel
- Dimensions: Approximately 70 x 50 cm
- Efficiency: Minimum 20% conversion efficiency
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2.2 Battery
- Type: LiFePO4 (Lithium Iron Phosphate) battery
- Capacity: 50Ah / 12V (600Wh)
- Cycle Life: Minimum 2000 cycles at 80% depth of discharge
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2.3 Charge Controller
- MPPT (Maximum Power Point Tracking) solar charge controller
- Capacity: 10A
- Features: Bluetooth connectivity for remote monitoring
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2.4 Power Management
- Low-power mode implementation for night-time operation
- Intelligent power switching between solar, battery, and grid (if available)
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3 Optional Components
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3.1 Wind Turbine
- Micro wind turbine (400W) for locations with consistent wind
- Hybrid charge controller for solar and wind integration
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3.2 Backup Power
- Small fuel cell or micro hydro generator for extended periods without sun
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4 Potential Partners and Vendors
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4.1 Hardware and Sensors
1. Raspberry Pi Foundation: Core processing units
2. Seeed Studio: Wide range of environmental sensors and accessories
3. Adafruit: Specialized sensors and IoT components
4. Atlas Scientific: Professional-grade water quality sensors
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4.2 Renewable Energy Components
1. SunPower: High-efficiency solar panels
2. LG Chem: Advanced battery solutions
3. Victron Energy: Solar charge controllers and power management systems
4. Blue Sky Energy: Solar charge controllers with IoT integration
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4.3 Integrated Solutions
1. Sensescape: Customizable environmental monitoring stations
2. Arable: Integrated agricultural weather stations
3. Libelium: Modular IoT sensor platforms
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4.4 Enclosures and Ruggedization
1. Polycase: Custom weatherproof enclosures
2. Fibox: Industrial-grade enclosures for harsh environments
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5 Cost Considerations and Optimization
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- Bulk purchasing agreements with manufacturers to reduce costs
- Standardized "node kits" for easy deployment and maintenance
- Modular design allowing for easy upgrades and replacements
- Optimization of power consumption to reduce solar panel and battery requirements
- Exploring partnerships with telecommunications companies for discounted connectivity
6 Future Development and Research Areas
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- Integration of more efficient and durable sensors
- Exploration of energy harvesting technologies beyond solar (e.g., piezoelectric, thermoelectric)
- Development of ultra-low-power blockchain validation mechanisms
- Research into biodegradable or recyclable hardware components to minimize environmental impact
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7 Community Involvement in Hardware Development
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- Open-source hardware designs for community improvement and customization
- Hackathons and challenges for innovative, low-cost node designs
- Collaboration with universities for research on efficient and sustainable hardware solutions
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By focusing on renewable energy integration and partnering with reliable hardware providers, the network aims to create sustainable, long-lasting nodes that can operate in diverse environments while minimizing their ecological footprint. The modular and open approach to hardware development ensures that the network can evolve and improve over time, incorporating new technologies and optimizations as they become available.
