Proximity-based Networking: Small world overlays optimized with particle swarm optimization
Chase Smith, Alex Rusnak

TL;DR
This paper introduces a proximity-based overlay network scheme that integrates geographic location and small world principles, optimized with particle swarm optimization, to enhance information dissemination, resilience, and fault-tolerance in large distributed systems.
Contribution
It proposes a novel networking scheme combining geographic location with small world overlays, optimized via particle swarm optimization, for improved efficiency and robustness.
Findings
Enhanced data dissemination efficiency
Improved network resilience and fault-tolerance
Flexible model adaptable to various swarm applications
Abstract
Information dissemination is a fundamental and frequently occurring problem in large, dynamic, distributed systems. In order to solve this, there has been an increased interest in creating efficient overlay networks that can maintain decentralized peer-to-peer networks. Within these overlay networks nodes take the patterns of small world networks, whose connections are based on proximity. These small-world systems can be incredibly useful in the dissemination and lookup of information within an internet network. The data can be efficiently transferred and routing with minimal information loss through forward error correct (FEC) and the User Datagram Protocol (UDP). We propose a networking scheme that incorporates geographic location in chord for the organization of peers within each node's partitioned key space. When we combine this with a proximity-based neighborhood set {based on the…
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Taxonomy
TopicsPeer-to-Peer Network Technologies · Caching and Content Delivery · Opportunistic and Delay-Tolerant Networks
