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Intelligent Emerging Sensor-based Networks and Systems including Selected Papers from ICGHIT 2021

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 7077

Special Issue Editor


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Guest Editor
Department of Software and Communications Energy, Hongik University, Sejongro 2639, Republic of Korea
Interests: wireless networks and communications; WSN; wireless ICN; edge computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recently, sensors (or sensing devices) in the Internet of Things (IoT) is always the starting point for building autonomous and intelligent systems and services to collect massive environmental, human behavior-based, and interactive data. However, in order to develop better and smarter services and systems, our lives require more intelligent and efficient sensors, devices, networking, and better algorithms. Therefore, in this Special Issue, we welcome the latest findings from research, ongoing projects, and review articles that can provide readers with current research trends and solutions for IoT and sensor-based services, systems, and networks. In addition, a few highly qualified papers selected and extended from the 9th International Conference on Green and Human Information Technology (ICGHIT 2021) will be included in this Special Issue. The 9th International Conference on Green and Human Information Technology (ICGHIT 2021) will be held 13~15 January, 2021, in Jeju Island, Korea (http://icghit.org/).

The 9th International Conference on Green and Human Information Technology is a unique global conference for researchers, industry professionals, and academics who are interested in the latest development of green and human information technology. The goal of ICGHIT is to form a platform to seek the advancement of green technology and human-related IT in an interdisciplinary manner. The main topics of the conference are green information technology, communication and IoT, computer and network security, multimedia and signal processing, control and intelligent system, and SW/HW design, architecture & development. Centering on the main topics, ICGHIT will provide an exciting program: hands-on experience-based tutorial sessions and special sessions covering research issues & directions with applications from both theoretical and practical viewpoints. The conference will also include plenary sessions, technical sessions, and workshops with special session.

The topics of this Special Issue include, but are not limited to: green information technology; green technology and energy saving; green computing and green IT convergence and applications; energy harvest-based communications and networking; technologies for network sustainability communications and networks for IoT and 5G and beyond; communications and networks for massive IoT and 5G; optical and visual light communication; ad-hoc and sensor networks; M2M/IoT and ubiquitous computing; NFV, SDN, ICN, network slicing; AI and ML-based technologies; computer and network security; block-chain-based networking and applications; distributed PKI; applied cryptography; security in big data and cloud computing; security for future internet architecture (SDN, ICN, etc.); control and intelligent systems; automatic control and neural and fuzzy networks; artificial intelligence and HCI; intelligent robotics and transportation and HRI; brain science and bioengineering networks; SW/HW design, architecture, and applications; architecture and protocols; sustainable sensor networks; information-centric sensor networks; blockchain-based secure sensor networks; AI-based self-evolving sensor networks; sensor/RFID circuit design; system on chip (SoC); IC system for communication.

Dr. Byung-Seo Kim
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • green information technology
  • communication and IoT
  • computer and network security
  • multimedia and signal processing
  • control and intelligent system
  • SW/HW design, architecture and development

Published Papers (2 papers)

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Research

22 pages, 2882 KiB  
Article
CIDF-WSN: A Collaborative Interest and Data Forwarding Strategy for Named Data Wireless Sensor Networks
by Muhammad Salah ud din, Muhammad Atif Ur Rehman and Byung-Seo Kim
Sensors 2021, 21(15), 5174; https://doi.org/10.3390/s21155174 - 30 Jul 2021
Cited by 10 | Viewed by 2702
Abstract
Recent years have witnessed the huge popularity of Information-Centric Networking (ICN) and its realization as Named Data Networking (NDN) in the context of wireless sensor networks (WSNs). The participating nodes in WSNs are usually equipped with a single radio interface. The existing solutions [...] Read more.
Recent years have witnessed the huge popularity of Information-Centric Networking (ICN) and its realization as Named Data Networking (NDN) in the context of wireless sensor networks (WSNs). The participating nodes in WSNs are usually equipped with a single radio interface. The existing solutions lack in providing the efficient next forwarder selection in NDN-based single radio WSNs. In this work, we propose a collaborative Interest and Data Forwarding (CIDF-WSN) Strategy for Named Data Wireless Sensor Networks. CIDF-WSN develop a Neighbor Information Base (NFIB) which enables the node to select the optimal next-hop relay in Interest packet forwarding. An efficient Interest packet processing mechanism assisted by the Interest Cache Table (ICT) is provided to avoid Interest packets loss and frequent re-transmissions. In addition, CIDF-WSN also provides a robust Data packet transfer mechanism accompanied by the Temp Cache Table (TCT) to avoid Data packet losses and to ensure well-timed content delivery. Simulation results reveal that CIDF-WSN outperforms the recently published works in terms of Interest satisfaction rate, total energy consumption, Data retrieval delays, and communication overhead. Full article
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21 pages, 7564 KiB  
Article
Dynamic Inference Approach Based on Rules Engine in Intelligent Edge Computing for Building Environment Control
by Wenquan Jin, Rongxu Xu, Sunhwan Lim, Dong-Hwan Park, Chanwon Park and Dohyeun Kim
Sensors 2021, 21(2), 630; https://doi.org/10.3390/s21020630 - 18 Jan 2021
Cited by 17 | Viewed by 3695
Abstract
Computation offloading enables intensive computational tasks in edge computing to be separated into multiple computing resources of the server to overcome hardware limitations. Deep learning derives the inference approach based on the learning approach with a volume of data using a sufficient computing [...] Read more.
Computation offloading enables intensive computational tasks in edge computing to be separated into multiple computing resources of the server to overcome hardware limitations. Deep learning derives the inference approach based on the learning approach with a volume of data using a sufficient computing resource. However, deploying the domain-specific inference approaches to edge computing provides intelligent services close to the edge of the networks. In this paper, we propose intelligent edge computing by providing a dynamic inference approach for building environment control. The dynamic inference approach is provided based on the rules engine that is deployed on the edge gateway to select an inference function by the triggered rule. The edge gateway is deployed in the entry of a network edge and provides comprehensive functions, including device management, device proxy, client service, intelligent service and rules engine. The functions are provided by microservices provider modules that enable flexibility, extensibility and light weight for offloading domain-specific solutions to the edge gateway. Additionally, the intelligent services can be updated through offloading the microservices provider module with the inference models. Then, using the rules engine, the edge gateway operates an intelligent scenario based on the deployed rule profile by requesting the inference model of the intelligent service provider. The inference models are derived by training the building user data with the deep learning model using the edge server, which provides a high-performance computing resource. The intelligent service provider includes inference models and provides intelligent functions in the edge gateway using a constrained hardware resource based on microservices. Moreover, for bridging the Internet of Things (IoT) device network to the Internet, the gateway provides device management and proxy to enable device access to web clients. Full article
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