What are the advantages of the hop count network protocol of Star Tower Chain in the blockchain?

The advantages of Star Tower Chain’s hop count network protocol in the blockchain include:

In terms of transaction propagation efficiency
Rapid diffusion of transaction information:
Transaction information is propagated preferentially according to hop count distance. Nodes closer in distance receive and process first. Similar to a ripple diffusion pattern, it speeds up the coverage of information in the network. Compared with unregulated propagation, it is more targeted and efficient.
Reduce the blindness of information propagation, allowing transaction information to reach the target node more quickly and improving the overall transaction propagation efficiency.
Reduce network congestion: By limiting the propagation range and path of transaction information through hop count, it avoids unrestricted flooding of information, reduces the redundancy of transaction information in the network, and reduces the possibility of network congestion. For example, prevent transaction information from being overly concentrated in busy areas and guide it to spread to idle areas.

In terms of network topology management
Reflect network structure: The hop count intuitively reflects the logical distance between nodes and the network topology structure, helping nodes quickly understand the relative positions and connection relationships of other nodes, facilitating the selection of appropriate neighbor nodes for communication and data transmission, and optimizing network connections. For example, when choosing to synchronize block data, nodes with fewer hops are preferred to obtain data faster.
Adapt to dynamic network changes: When nodes join or leave the network, hop count information can be quickly sensed and updated. This dynamic adjustment mechanism enables the network to adapt to topological changes in a timely manner, maintain stability and reliability, and ensure the normal operation of the network.

In terms of security
Limit the scope of attacks: Hop count restrictions limit the attack range of malicious nodes to a certain extent. Malicious attack information can only spread within a certain hop count range, reducing the impact of attacks on the entire network. At the same time, it is convenient for other nodes to detect abnormal hop count changes and take preventive measures in time.
Enhance identity verification: In some blockchain systems based on hop count network protocols, hop count information can be used as an identity verification factor. Only nodes with legal hop count paths can participate in specific transaction verification or block generation processes, increasing the difficulty for attackers to forge node identities and improving network security.

In terms of consensus achievement
Assist consensus mechanism: It can provide auxiliary information for the blockchain’s consensus mechanism. For example, in some voting-based consensus mechanisms, nodes closer in distance (with fewer hops) may have higher credibility or weight, and their voting results have greater influence in the consensus process, which is more conducive to reaching a consensus.
Improve consensus efficiency: Optimize transaction propagation and communication between nodes, accelerate the exchange and verification of information in the consensus process, enable nodes to collect opinions and status information of other nodes faster, reduce the time for consensus achievement, and improve the overall performance of the blockchain system.

In terms of resource utilization
Optimize resource allocation: Network resources can be allocated reasonably according to the hop count information of nodes. For example, computing tasks are preferentially allocated to nodes with closer hops and lower network latency, improving resource utilization efficiency and reducing resource waste.
Increase device participation: By using the hop count network protocol, smart devices can participate in the operation of the blockchain network more effectively. Devices can choose appropriate tasks to participate according to their own resource status and hop count distance, give full play to the role of idle resources, and improve the resource utilization rate of the entire network.