基于 6LoWPAN-RPL 的以患者为中心的 IoHT 的增强型混合拥塞缓解策略

IF 4.4 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Himanshu Verma , Naveen Chauhan , Lalit Kumar Awasthi
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引用次数: 0

摘要

医疗保健物联网(IoHT)正在迅速发展,为加强医疗保健服务提供了新的机遇。然而,联网医疗传感设备的资源限制会导致拥塞,导致网络性能降低、数据传输延迟和关键医疗信息丢失,从而给医疗保健带来重大影响。为解决这一问题,本文提出了基于低功耗无线个人局域网(6LoWPAN)的 IPv6 增强型混合拥塞缓解策略(EHCMS)和基于低功耗和有损网络(RPL)的路由协议。EHCMS 结合了多项技术,包括流量管理、网络拓扑优化和负载平衡,以提高网络性能并减少拥塞。所提出的框架是一种混合战略,利用资源和流量控制机制来缓解基于 6LoWPAN-RPL 的以患者为中心的 IoHT 网络的拥塞问题。在基于资源控制的方法中,使用几个特定于拥塞的路由指标设计了一个拥塞感知复合目标函数,并将其表述为一个使用灰色关系分析(GRA)求解的多属性决策问题。此外,还设计了一种基于非线性多标准优化问题的传输速率适应机制,作为缓解拥塞的流量控制方案。通过在 Contiki-3.0 操作系统中的 Cooja 模拟器上进行仿真,对所提出的 EHCMS 的有效性进行了评估,并与现有的拥塞缓解策略进行了比较。结果表明,所提出的框架能显著减少 IoHT 网络中的拥塞,性能优于现有作品,并能提高服务质量。本研究论文通过提出一种有效的拥塞缓解策略,提高了 PC-IoHT 网络的可靠性和性能,最终改善了医疗保健服务的质量,为 IoHT 领域做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Hybrid Congestion Mitigation Strategy for ‘6LoWPAN-RPL based patient-centric IoHT’
The Internet of Healthcare Things (IoHT) is rapidly evolving, providing new opportunities to enhance healthcare delivery. However, the resource limitation of connected medical sensing devices leads to congestion, resulting in reduced network performance, delayed data transmission, and loss of critical medical information, which can have significant consequences in healthcare. To address this issue, this paper proposes an Enhanced Hybrid Congestion Mitigation Strategy (EHCMS) for IPv6 over low-power wireless personal area networks (6LoWPAN) and routing protocol for low-Power and lossy networks (RPL) based patient-centric IoHT (PC-IoHT). The EHCMS combines several techniques, including traffic management, network topology optimization, and load balancing, to enhance network performance and reduce congestion. The proposed framework is a hybrid strategy that utilizes resource- and traffic-control mechanisms to alleviate congestion in the 6LoWPAN-RPL-based patient-centric IoHT network. For the resource-control-based approach, a congestion-aware composite objective function is designed using a few congestion-specific routing metrics and formulated as a multi-attribute decision-making problem solved using Grey relational analysis (GRA). In addition, a non-linear multi-criteria optimization problem-based transmission rate adaptation mechanism is contrived as a traffic-control scheme for congestion mitigation. The effectiveness of the proposed EHCMS is evaluated using simulations on the Cooja simulator in the Contiki-3.0 OS and compared with existing congestion-alleviating strategies. The results demonstrate that the proposed framework can significantly reduce congestion in the IoHT network, perform better than existing works, and improve the quality of service. This research paper contributes to the field of IoHT by proposing an effective congestion mitigation strategy that enhances the reliability and performance of the PC-IoHT network, ultimately improving the quality of healthcare delivery.
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来源期刊
Computer Networks
Computer Networks 工程技术-电信学
CiteScore
10.80
自引率
3.60%
发文量
434
审稿时长
8.6 months
期刊介绍: Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups.
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