Efficient Non-DHT-Based RC-Based Architecture for Fog Computing in Healthcare 4.0

被引:5
作者
Roy, Indranil [1 ]
Mitra, Reshmi [1 ]
Rahimi, Nick [2 ]
Gupta, Bidyut [3 ]
机构
[1] Southeast Missouri State Univ, Dept Comp Sci, Cape Girardeau, MO 63701 USA
[2] Univ Southern Mississippi, Sch Comp Sci & Comp Engn, Dept Comp Sci, Hattiesburg, MS 39406 USA
[3] Southern Illinois Univ, Dept Comp Sci, Sch Comp, Carbondale, IL 62901 USA
来源
IOT | 2023年 / 4卷 / 02期
关键词
Healthcare; 4.0; fog computing; IoT devices; peer-to-peer network; non-DHT-based; interest/resource-based P2P; MANAGEMENT; INTERNET; IFOGSIM; EDGE;
D O I
10.3390/iot4020008
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Cloud-computing capabilities have revolutionized the remote processing of exploding volumes of healthcare data. However, cloud-based analytics capabilities are saddled with a lack of context-awareness and unnecessary access latency issues as data are processed and stored in remote servers. The emerging network infrastructure tier of fog computing can reduce expensive latency by bringing storage, processing, and networking closer to sensor nodes. Due to the growing variety of medical data and service types, there is a crucial need for efficient and secure architecture for sensor-based health-monitoring devices connected to fog nodes. In this paper, we present publish/subscribe and interest/resource-based non-DHT-based peer-to-peer (P2P) RC-based architecture for resource discovery. The publish/subscribe communication model provides a scalable way to handle large volumes of data and messages in real time, while allowing fine-grained access control to messages, thus enabling heightened security. Our two - level overlay network consists of (1) a transit ring containing group-heads representing a particular resource type, and (2) a completely connected group of peers. Our theoretical analysis shows that our search latency is independent of the number of peers. Additionally, the complexity of the intra-group data-lookup protocol is constant, and the complexity of the inter-group data lookup is O(n), where n is the total number of resource types present in the network. Overall, it therefore allows the system to handle large data throughput in a flexible, cost-effective, and secure way for medical IoT systems.
引用
收藏
页码:131 / 149
页数:19
相关论文
共 50 条
[41]   A Survey of Fog Computing-Based Healthcare Big Data Analytics and Its Security [J].
Priyadarshini, Rojalina ;
Barik, Rabindra Kumar ;
Dubey, Harish Chandra ;
Mishra, Brojo Kishore .
INTERNATIONAL JOURNAL OF AMBIENT COMPUTING AND INTELLIGENCE, 2021, 12 (02) :53-72
[42]   Architecture for Latency Reduction in Healthcare Internet-of-Things Using Reinforcement Learning and Fuzzy Based Fog Computing [J].
Shukla, Saurabh ;
Hassan, Mohd Fadzil ;
Jung, Low Tan ;
Awang, Azlan .
RECENT TRENDS IN DATA SCIENCE AND SOFT COMPUTING, IRICT 2018, 2019, 843 :372-383
[43]   Lightweight authentication and matrix-based key agreement scheme for healthcare in fog computing [J].
Jian Shen ;
Huijie Yang ;
Anxi Wang ;
Tianqi Zhou ;
Chen Wang .
Peer-to-Peer Networking and Applications, 2019, 12 :924-933
[44]   Lightweight authentication and matrix-based key agreement scheme for healthcare in fog computing [J].
Shen, Jian ;
Yang, Huijie ;
Wang, Anxi ;
Zhou, Tianqi ;
Wang, Chen .
PEER-TO-PEER NETWORKING AND APPLICATIONS, 2019, 12 (04) :924-933
[45]   An IoT Healthcare System Based on Fog Computing and Data Mining: A Diabetic Use Case [J].
Karimi, Azin ;
Razi, Nazila ;
Rezazadeh, Javad .
APPLIED SCIENCES-BASEL, 2024, 14 (17)
[46]   Blockchain-Based Solutions Supporting Reliable Healthcare for Fog Computing and Internet of Medical Things (IoMT) Integration [J].
Alam, Shadab ;
Shuaib, Mohammed ;
Ahmad, Sadaf ;
Jayakody, Dushantha Nalin K. ;
Muthanna, Ammar ;
Bharany, Salil ;
Elgendy, Ibrahim A. .
SUSTAINABILITY, 2022, 14 (22)
[47]   A Secure Fog-Based Architecture for Industrial Internet of Things and Industry 4.0 [J].
Sengupta, Jayasree ;
Ruj, Sushmita ;
Bit, Sipra Das .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (04) :2316-2324
[48]   An Efficient Resource Management Mechanism Based on Developed Political Optimizer in Fog Computing [J].
Zhang, Xiaohui ;
Nazari, Hamed .
CYBERNETICS AND SYSTEMS, 2022,
[49]   An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System [J].
Mijuskovic, Adriana ;
Bemthuis, Rob ;
Aldea, Adina ;
Havinga, Paul .
2020 IEEE 24TH INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING WORKSHOP (EDOCW 2020), 2020, :63-73
[50]   SDN based communications privacy-preserving architecture for VANETs using fog computing [J].
Arif, Muhammad ;
Wang, Guojun ;
Balas, Valentina Emilia ;
Geman, Oana ;
Castiglione, Aniello ;
Chen, Jianer .
VEHICULAR COMMUNICATIONS, 2020, 26