A new technique called ‘Block Sampling’ has been proposed by Shai Wyborski and Michael Sutton, two key players in the Kaspa community, to enhance the efficiency and fairness of mining operations within the Kaspa network. This technique aims to improve how difficulty levels for mining are calculated, addressing issues with the current system.
In the world of digital currencies, transactions are recorded in blocks that are added to a blockchain. Miners solve complex math problems to add these blocks, and the Difficulty Adjustment Algorithm (DAA) determines the difficulty level of these problems. However, the current DAA system can become less efficient if the rate of creating new blocks increases, and miners with unsynchronized clocks may face delays in adding blocks.
The proposed ‘Block Sampling’ method would simplify the process by selecting a few sample blocks instead of considering all past blocks when setting the difficulty level for the next block. This method follows a deterministic and secure approach, ensuring a fair chance for every block to be picked without any miner cheating the system.
If implemented, this method would also slightly alter how miners earn rewards, with a block’s ‘blue score’ playing an even more critical role. To implement KIP: 3, a ‘hard fork’ would be required, a significant update that all network users must adopt. Although just a proposal for now, KIP: 3 aims to prepare the Kaspa network for future growth and enhance its overall efficiency.