Scholarlink

This paper introduces a novel peer-to-peer (P2P) architecture tailored for resource discovery in sensor-based health-monitoring devices. Departing from traditional publish/subscribe methods, this architecture employs location-, interest-, and resource-based mechanisms to enhance efficiency and security without relying on a centralized communication model. The proposed architecture comprises a two-level overlay network: a transit ring housing group-heads representing specific resource types, and a fully connected group of peers. Theoretical analysis demonstrates that search latency remains independent of the number of peers, with constant complexity for intra-group data lookup and O(n) complexity for inter-group data lookup, where n signifies the total number of resource types. This architecture enables efficient, cost-effective, and secure management of large data throughput for medical IoT systems, offering an alternative to the centralized communication model.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Enabling Seamless Healthcare Services with RC-Based Geographical Peer-to-Peer Fog Architecture in the Healthcare 4.0

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Hanumanthu Vinaganti,
  • Nikhitha Chowdary Tannedi,
  • Pooja Nannuri,
  • Indranil Roy,
  • Reshmi Mitra,
  • Nick Rahimi,
  • Bidyut Gupta

摘要

This paper introduces a novel peer-to-peer (P2P) architecture tailored for resource discovery in sensor-based health-monitoring devices. Departing from traditional publish/subscribe methods, this architecture employs location-, interest-, and resource-based mechanisms to enhance efficiency and security without relying on a centralized communication model. The proposed architecture comprises a two-level overlay network: a transit ring housing group-heads representing specific resource types, and a fully connected group of peers. Theoretical analysis demonstrates that search latency remains independent of the number of peers, with constant complexity for intra-group data lookup and O(n) complexity for inter-group data lookup, where n signifies the total number of resource types. This architecture enables efficient, cost-effective, and secure management of large data throughput for medical IoT systems, offering an alternative to the centralized communication model.