ELC: Edge Linked Caching for content updating in information-centric Internet of Things

被引:18
|
作者
Asmat, Hamid [1 ]
Din, Ikram Ud [1 ]
Ullah, Fasee [2 ,3 ]
Talha, Muhammad [4 ]
Khan, Murad [2 ]
Guizani, Mohsen [5 ]
机构
[1] Univ Haripur, Dept Informat Technol, Haripur, Pakistan
[2] Sarhad Univ Sci & Informat Technol, Dept Comp Sci & IT, Peshawar, Pakistan
[3] Univ Macau, Fac Sci & Technol, Dept Comp & Informat Sci, Ave Univ, Taipa, Macau, Peoples R China
[4] King Saud Univ, Sci Res, Riyadh, Saudi Arabia
[5] Qatar Univ, Dept Comp Sci & Engn, Doha, Qatar
关键词
Edge-Linked Caching; Internet of Things; Information-centric networking; Freshness; Content; WIRELESS SENSOR NETWORKS; NAMED DATA NETWORKING;
D O I
10.1016/j.comcom.2020.03.049
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Internet of things (IoT) has enabled every thing around us to have an Internet connection. In the future, IoT will generate more content than any other network. It is estimated that about 27 billion Internet enabled devices will connect to the Internet. For IoT, the current IP-based architecture, also known as Host-centric architecture, is not suitable. Therefore, a clean slate architecture is required to provide solutions to the problem. The researchers have recently proposed an appropriate architecture for this purpose, known as Information-Centric Network (ICN). ICN would potentially become the future Internet architecture as it has the ability to manage this huge number of IoT devices and their content. ICN's in-network caching functionality is very useful for IoT, as it reduces the overhead of the publisher with respect to content access. This paper proposes an IoT caching strategy based on ICN that will effectively cache IoT data as well as update and evict content based on its freshness values.
引用
收藏
页码:174 / 182
页数:9
相关论文
共 50 条
  • [1] Enhancing Edge-Linked Caching in Information-Centric Networking for Internet of Things With Deep Reinforcement Learning
    Asmat, Hamid
    Din, Ikram Ud
    Almogren, Ahmad
    Altameem, Ayman
    Khan, Muhammad Yasar
    [J]. IEEE Access, 2024, 12 : 154918 - 154932
  • [2] Edge Learning based Green Content Distribution for Information-Centric Internet of Things
    Shen, Qili
    Wu, Jun
    Li, Jianhua
    [J]. 2019 42ND INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2019, : 67 - 70
  • [3] Information-Centric Networking Caching Scheme for Data Characteristics of Internet of Things
    Duan Jie
    Hu Xianjing
    Lin Huan
    Li Zhengwei
    Zou Yaqin
    [J]. JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2021, 43 (08) : 2240 - 2248
  • [4] Bringing Deep Learning at the Edge of Information-Centric Internet of Things
    Khelifi, Hakima
    Luo, Senlin
    Nour, Boubakr
    Sellami, Akrem
    Moungla, Hassine
    Ahmed, Syed Hassan
    Guizani, Mohsen
    [J]. IEEE COMMUNICATIONS LETTERS, 2019, 23 (01) : 52 - 55
  • [5] An Energy Reward-Based Caching Mechanism for Information-Centric Internet of Things
    Dinh, Ngocthanh
    Kim, Younghan
    [J]. SENSORS, 2022, 22 (03)
  • [6] A Periodic Caching Strategy Solution for the Smart City in Information-Centric Internet of Things
    Naeem, Muhammad Ali
    Ali, Rashid
    Kim, Byung-Seo
    Nor, Shahrudin Awang
    Hassan, Suhaidi
    [J]. SUSTAINABILITY, 2018, 10 (07)
  • [7] A hyperbolic routing scheme for information-centric internet of things with edge computing
    Yang, Weihong
    Qin, Yang
    Wu, Bingbing
    [J]. WIRELESS NETWORKS, 2021, 27 (07) : 4567 - 4579
  • [8] A hyperbolic routing scheme for information-centric internet of things with edge computing
    Weihong Yang
    Yang Qin
    Bingbing Wu
    [J]. Wireless Networks, 2021, 27 : 4567 - 4579
  • [9] Content Diversity in Information-Centric Network Caching
    Abdullahi, Ibrahim
    Arif, Suki
    [J]. ADVANCED SCIENCE LETTERS, 2017, 23 (06) : 5361 - 5364
  • [10] Energy-Efficient Centrally Controlled Caching Contents for Information-Centric Internet of Things
    Asmat, Hamid
    Ullah, Fasee
    Zareei, Mahdi
    Khan, Atif
    Mohamed, Ehab Mahmoud
    [J]. IEEE ACCESS, 2020, 8 : 126358 - 126369