From Bitcoin to Solana: How 8 Cryptocurrency Networks Achieve Consensus

cryptonews.ru2026-08-24 tarihinde yayınlandı2026-08-24 tarihinde güncellendi

Özet

This article explains how eight major cryptocurrency networks achieve consensus, moving beyond the simple proof-of-work (PoW) vs. proof-of-stake (PoS) distinction. Bitcoin established the "Nakamoto consensus" model, where miners compete through PoW, and the valid chain is the one with the most cumulative computational work. Dogecoin and Zcash follow this core model but use different mining algorithms (Scrypt and Equihash, respectively) and have faster difficulty adjustment periods. Ethereum transitioned to a PoS system called Gasper after The Merge. Validators stake ETH to propose and vote on blocks, with finality reached in about 12.8 minutes through a combination of the LMD-GHOST fork-choice rule and Casper FFG. Other networks employ more delegated or permissioned structures. BNB Smart Chain uses a Proof-of-Staked-Authority model with 45 elected validators for high speed, achieving finality in under a second. Solana combines Proof-of-History (a cryptographic clock) with a stake-weighted Tower BFT algorithm for voting, targeting finality in about 12.8 seconds. Tron uses delegated PoS where 27 super representatives take turns producing blocks on a schedule, with finality requiring confirmation by 19 of them. The XRP Ledger takes a unique approach, relying on Unique Node Lists (UNLs). Each server maintains a list of trusted validators, and consensus is reached through repeated rounds of voting until an 80% quorum agrees, typically within 4-5 seconds, without mining or stak...

Bitcoin introduced the model now called the "Nakamoto consensus," but Ethereum, $BNB Smart Chain, $XRP Ledger, Solana, and Tron have taken different paths, while Dogecoin and Zcash still operate much closer to Bitcoin's original model. Excluding stablecoins, all the cryptocurrencies listed below are leading digital assets by market capitalization.

What a Consensus Algorithm Actually Does

A blockchain is essentially a shared ledger replicated on computers worldwide. When two machines see different transactions or competing blocks simultaneously, the network needs a hard rule to determine which chain of transactions will remain valid. This is the task of the consensus algorithm. It determines who gets the next update, how competing transaction chains are ranked, what prevents the network from being flooded with fake participants, and when a transaction reversal becomes difficult or impossible. These details are important because simply labeling a chain as "proof-of-work" or "proof-of-stake" hides the mechanism that determines who wins when disagreements arise in the network.

Nakamoto Consensus Made Bitcoin's Open Network Possible

The Nakamoto consensus is not a single button Bitcoin presses or one specific algorithm mentioned in Satoshi Nakamoto's white paper. It is a set of rules. Miners compete and earn through proof-of-work (PoW), running nodes independently reject invalid blocks, miners are rewarded for valid work, and conflicts between competing chains are resolved by following the valid chain that carries the greatest cumulative computational work.

The image above shows the Nakamoto consensus in action: miners follow the chain with the greatest cumulative proof-of-work. When two blocks appear almost simultaneously, the network briefly splits. Nodes continue to extend the branch that reaches them first, but as soon as one side gets at least one block ahead, its accumulated work takes the lead. Miners quickly abandon the shorter branch and switch to the winner, as spending hashpower on a dying branch is like burning money.

Two miners can find blocks practically at the same time, causing a short-lived network split. The next successful block usually pulls one branch ahead, and the network converges again. This leads to probabilistic finality: reversing a transaction becomes increasingly difficult as more work accumulates on it, but Bitcoin never declares a payment irreversible after six confirmations.

Bitcoin Sets the Baseline for Nakamoto Consensus

Bitcoin is the benchmark because it started this model. Miners using the SHA-256 proof-of-work (PoW) algorithm compete in an unpredictable computational lottery, akin to rolling dice, aiming to mine a block roughly every ten minutes. Difficulty is recalculated every 2,016 blocks, so changes in mining power don't permanently alter the emission rate. Running nodes follow the valid chain carrying the greatest total work, not just the branch with more blocks. There is no scheduled committee of producers or validators.

Ethereum Replaced Mining with Validators and Staking

Ethereum abandoned PoW during "The Merge" and replaced miners with a proof-of-stake (PoS) system—a hybrid consensus protocol called Gasper. The chain runs in 12-second slots, with validators staking their ETH to propose blocks and vote on the branch. LMD-GHOST weights the latest validator votes based on stake size to determine the leading branch, while Casper FFG adds finality through checkpoints.

Ethereum proposes blocks every 12 seconds, and the Gasper consensus finalizes them in about 12.8 minutes.

Under normal conditions, Ethereum achieves finality in about two epochs, or roughly 12.8 minutes. A key difference from Bitcoin is where consensus power comes from: Bitcoin accounts for computational work, while Ethereum accounts for economic stake, which can be slashed for certain provable dishonest actions.

$BNB Smart Chain Traded Mining Races for Speed

Today, $BNB consensus primarily means $BNB Smart Chain, as the $BNB Beacon Chain was shut down in 2024. BSC uses a Proof-of-Staked-Authority algorithm, combining delegated stake, scheduled block production, and validator voting instead of an open mining race. Its elected structure consists of 45 validators, including 21 "Cabinet" validators and 24 candidates.

$BNB Chain sacrifices open mining for speed, using 45 elected validators and fast BLS algorithm voting to lock in finality.

The Fermi upgrade, released in January 2026, reduced the target block interval to 450 milliseconds, and validator voting via the BLS algorithm allows transaction finality to be secured without a multi-layer proof-of-work system.

The win is speed, but the trade-off is clear: much more responsibility for achieving consensus lies with a known, limited group of professional validators than with Bitcoin's permissionless mining market.

The $XRP Ledger Bakes Trust Lists into Its Consensus Mechanism

The $XRP Ledger (XRPL) goes in a completely different direction. There are no PoW miners or PoS lottery systems. Servers maintain Unique Node Lists (UNLs) containing validators they believe are unlikely to collude, and participants repeatedly compare proposed transaction sets until enough trusted validators agree.

The trust list diagram above shows what really underpins XRPL: no mining race, no staking lottery, just each server's carefully chosen list of validators and repeated proposal rounds until votes converge. Once four out of five validators agree, the network crosses the 80% threshold, and the ledger is fixed. This structure replaces brute-force computation with validator agreement, allowing XRPL to settle transactions without miners burning electricity or stakers fighting for block rewards.

The standard validation quorum is 80%, and once the ledger passes this threshold, it is considered final under trust assumptions. Settlement is typically considered to take about four to five seconds. A key factor is whether the lists of trusted validators remain honest, available, and sufficiently overlapping across the network.

Solana Uses a "Clock," "Stake," and the "Tower" BFT Algorithm

Solana's "Proof-of-History" model is often mistaken for "Proof-of-Work," but it serves a different purpose. "Proof-of-History" functions as a cryptographic clock helping to establish event order, while the stake-weighted Tower BFT algorithm handles voting and branch selection. Leaders are scheduled in advance according to stake, and validators vote when competing branches appear.

The image above shows how Solana tracks time and reaches consensus without turning "Proof-of-History" into a voting system. A continuous sequence of hashes acts as verifiable clocks, ordering events before validators voice their opinion. Each 350-millisecond slot gets a stake-weighted leader, Tower BFT voting locks validators onto a branch, and after 31 confirmations, transactions reach finality in about 12.8 seconds.

Under the Tower mechanism, a block is finalized after at least 31 confirmed descendants appear, providing finality in about 12.8 seconds at the traditional 400-millisecond slot rate. Last week, the network reduced the slot time to 350 milliseconds.

Tron Introduces a Work Schedule for 27 Elected Producers

The Tron distributed ledger system has both similarities and differences. Tron uses delegated PoS, where TRX holders vote for Super Representatives, and 27 leaders become active block producers. These producers rotate on a schedule every three seconds. Before reaching finality, Tron may resort to a "longest chain" rule to resolve conflicts between competing versions, somewhat reminiscent of Nakamoto-style chain selection.

Tron elects 27 Super Representatives to produce blocks in turn, requiring 19 confirmations to lock in finality.

This similarity ends at the finalization stage. A block becomes final after at least 19 of the 27 active representatives have produced a block at that height or higher, typically leading to finalization about a minute after the leading block appears. If nine representatives are unavailable or refuse to cooperate, this threshold cannot be reached.

Dogecoin Preserves Nakamoto Consensus but Changes the Mechanism

Dogecoin fits squarely into the Nakamoto consensus family, although the mechanism "under the hood" differs sharply from Bitcoin's. It uses the Scrypt proof-of-work algorithm instead of SHA-256 and aims for a new block about every minute. DigiShield adjusts difficulty after every block, which is much faster than Bitcoin's 2,016-block adjustment cycle.

Dogecoin combines the Scrypt proof-of-work algorithm and merged mining with Litecoin with Nakamoto's cumulative work rule to deliver blocks at approximately 1-minute intervals.

Dogecoin also uses Auxiliary Proof-of-Work or merged mining, allowing Scrypt miners, especially Litecoin miners, to reuse compatible work to secure Dogecoin. These changes alter mining economics but not its core logic: miners provide work, cumulative work determines the winning chain, and trust in a transaction grows as more proof-of-work accumulates on the payment.

Zcash Keeps the Nakamoto Model at the Core of Its Privacy Tech

Zcash remains Nakamoto in style, although better known for its privacy than its consensus mechanism. It uses the Equihash proof-of-work algorithm, targets blocks every 75 seconds, and follows the valid blockchain carrying the greatest total work. A Digishield-based difficulty system adjusts after every block, allowing Zcash to respond to mining changes faster than Bitcoin's approximately two-week adjustment period.

Zcash retains Nakamoto-style proof-of-work and cumulative-work chain selection but integrates the privacy of shielded transactions alongside the consensus mechanism. Unlike Dogecoin, Zcash doesn't change the mechanism but rather adds a privacy layer that nodes verify but which never affects chain selection.

The zero-knowledge proofs underlying shielded transactions do not replace consensus. Nodes apply them as validity checks, while miners and proof-of-work still determine block creation and chain selection. Thus, like Bitcoin and Dogecoin, Zcash settles based on probability without absolute finality at the protocol level.

Consensus is Essentially About Choosing Who to Trust

The differences between these networks run deeper than the familiar "proof-of-work vs. proof-of-stake" debate. Bitcoin, Dogecoin, and Zcash bet that honest miners can perform more computational work than an attacker. Ethereum entrusts responsibility to economic stake. $BNB Smart Chain, Solana, and Tron rely on specific or stake-elected groups of validators, while the $XRP Ledger makes overlapping lists of trusted validators part of its security system itself.

Faster finality can be valuable for payments, applications, and trading, but speed does not guarantee security, and slower "proof-of-work" is not automatically safer. The key question is what an attacker must control to rewrite history and how the protocol reacts if that assumption fails. It is this difference that users feel.

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İlgili Sorular

QWhat is the fundamental purpose of a consensus algorithm in a blockchain network?

AIts fundamental purpose is to provide a strict rule for the network to determine which chain of transactions remains valid when disagreements arise, such as when two machines see different transactions or competing blocks simultaneously. It decides who gets to add the next update, how competing chains are ranked, prevents network flooding by fake participants, and determines when reversing a transaction becomes difficult or impossible.

QHow does Bitcoin's Nakamoto Consensus resolve conflicts between competing chains?

AConflicts are resolved by following the valid chain that carries the greatest cumulative proof-of-work. When two blocks are mined almost simultaneously, the network splits briefly. Miners and nodes extend the branch they receive first, but once one side gains an additional block, its accumulated work takes the lead. Miners then quickly abandon the shorter branch to follow the winner, as continuing to mine on it is economically wasteful.

QWhat is the key difference between Bitcoin's and Ethereum's consensus in terms of what provides security?

AThe key difference lies in the source of consensus strength. Bitcoin's security stems from computational work (Proof-of-Work), while Ethereum's security comes from economic stake (Proof-of-Stake). In Bitcoin, honest miners are expected to control more hash power. In Ethereum, validators lock up ETH as stake, which can be slashed for provably dishonest actions.

QWhat unique approach does the XRP Ledger (XRPL) use to achieve consensus, and what is its key requirement?

AXRPL uses a Unique Node List (UNL) consensus model, where servers maintain lists of validators they trust not to collude. They repeatedly compare proposed transaction sets until a sufficient majority (typically 80%) of trusted validators agree. The key requirement for security is that these trusted validator lists remain honest, available, and sufficiently overlapping across the network.

QWhat role does Solana's Proof-of-History (PoH) play in its consensus mechanism, and what actually handles the voting and chain selection?

AProof-of-History acts as a cryptographic clock, helping to establish the order of events. However, it does not handle voting or chain selection. That responsibility falls to the stake-weighted Tower BFT algorithm. PoH sequences events before validators vote, while Tower BFT is responsible for the voting process and determining the canonical chain.

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