Geographic Network Optimization for Decentralized P2P Systems

Abstract

This paper presents geographic network optimization strategies for ZKIM, a decentralized P2P messaging platform. The system implements latency-based peer selection, regional performance analysis, censorship resistance through geographic distribution, and network diversity metrics. We describe the architecture, implementation details, and performance characteristics of the geographic optimization system, demonstrating its effectiveness in production deployments. The system achieves efficient peer selection through RTT-based scoring, connection quality assessment, and geographic diversity enforcement. Performance evaluation demonstrates improved latency and reliability through geographic optimization while maintaining strong security guarantees. The implementation includes real-world deployment data from production environments, providing practical insights into geographic network optimization at scale.