The Phron blockchain employs a novel approach to validator selection, leveraging both user staking and AI-ranked performance to ensure a robust, fair, and meritocratic system. This method prioritizes high-performing nodes while incorporating community trust and randomness to democratize the selection process.
Validators are chosen based on a combination of AI-generated performance metrics and user staking, promoting a system where merit and community trust determine validator selection. The AI scores and ranks nodes by their operational efficacy, creating a competitive environment that motivates validators to uphold high standards. This merit-based selection system ensures that the most reliable and efficient validators are prioritized.
Incorporation of user staking into the validator ranking allows the community to have a direct influence on the selection process. Validators that receive higher stakes from the community are perceived as more trusted, thereby integrating a democratic element into the system. This approach aligns the network’s operation with the preferences and trust of its users.
To further ensure fairness, the system includes a random lottery element that considers both the AI rankings and the percentage of stakes. This mechanism introduces a degree of randomness, mitigating biases and providing opportunities for newer or smaller validators to participate in network validation.
The final decision on validator selection is based on the following factors:
The AI ranking of a node k, denoted as , ranks nodes in ascending order based on their performance, with the best nodes receiving a higher rank.
The stake-based ranking of a node k, denoted as , applies the same ranking principle, prioritizing nodes with higher stakes.
A random lottery that accounts for both AI and stake-based rankings, calculating the probability P for a node k to be selected as a validator.
The algorithm is formalized by the following equations:
PHRON constitutes the link between the PhronAi Ecosystem and the holder. The PHRON reward system for node validators will work with the APR method; it is described with the following equation:
where:
0 ≤ x < ∞
y is the APR (in decimal form)
x is the time (in years)
This APR calculation factors into the broader staking and reward mechanism, ensuring validators are incentivized proportionally to their commitment and performance over time.
where A is the sum of AI ranks for all nodes, B is the sum of stake-based ranks, and represents the selection probability of node k
