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Selected Feature Papers from 7th International Conference on Computer and Communications (ICCC)

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: closed (25 March 2022) | Viewed by 3710

Special Issue Editors


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Guest Editor
School of Computer, Wuhan University, Wuhan 430072, China
Interests: image processing; multimedia communication; computer network; AI
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Studies on computer and communications have contributed largely to the progress of core technologies to solve a variety of social issues, such as a declining birthrate and a growing proportion of elderly people, energy depletion, serious natural disasters, and pandemics of infections. Along with a reduction in size and weight of high-performance computers and popularization of high-speed and broadband networks, various kinds of promising applications have been realized via research and development of wireless communication technology (e.g., antennas, MIMO, 5G, cellular systems, ad hoc networks, and radio access networks), image processing techniques (e.g., pattern recognition, and object identification and retrieval), security-related techniques (e.g., encryption and blockchain), Internet technology (e.g., network measurement, analysis, and prediction, routing, and protocols), and photonic technology, as well as basic theories of algorithms, signal processing, and modulation and coding schemes. Further, smart energy technology such as energy harvesting and smart grids are included in the research and development areas, and use of unmanned aerial vehicles (UAV) and robots can support the large enhancement of systems and networks. In recent years, studies have enormously promoted the Internet of Things (IoT) handling huge information from various sensors, big data, cloud/fog/edge computing, and artificial intelligence (AI) such as machine learning, deep learning, and reinforcement learning. It is anticipated that this promotion will lead to the realization of beyond 5G/6G, all photonics networks (AFN), cyberphysical systems, and so on. This Special Issue invites submissions on, but not limited to, the above research areas. 

The International Conference on Computer and Communications (ICCC) was established in 2015. It is organized by the Sichuan Institute of Electronics, sponsored by IEEE, and supported by Southwest Jiaotong University, Sichuan University, etc. It is held in Chengdu annually, where more than 500 attendees from 12 countries all around the world take part. ICCC 2021 will be held in Chengdu, China once again on 10–13 December 2021. On behalf of the Organizing Committee, we warmly invite computer and communications scientists, engineers or technicians, graduate students, and all those simply interested in the technique to take part in this unique and innovative conference with your enthusiasm to develop and your willingness to mature computer and communications techniques and their applications. 

We encourage authors who present an article at the 2021 IEEE 7th International Conference on Computer and Communications (ICCC) and who feel that their contribution is within the scope of interest of the journal Entropy to submit an original and essential extension of the ICCC paper to be considered for publication.

Prof. Dr. Yutaka Ishibashi
Prof. Dr. Yulin Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Entropy is an international peer-reviewed open access monthly 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

  • Internet of Things (IoT)
  • big data
  • cloud/fog/edge computing
  • Artificial intelligence (AI)
  • security
  • internet
  • wired/wireless networks
  • smart energy
  • algorithms
  • signal/image processing
  • modulation/coding schemes

Published Papers (2 papers)

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Research

16 pages, 2404 KiB  
Article
Joint Optimization of Control Strategy and Energy Consumption for Energy Harvesting WSAN
by Zhuwei Wang, Zhicheng Liu, Lihan Liu, Chao Fang, Meng Li and Jingcheng Zhao
Entropy 2022, 24(5), 723; https://doi.org/10.3390/e24050723 - 19 May 2022
Viewed by 1346
Abstract
With the rapid development of wireless sensor technology, recent progress in wireless sensor and actuator networks (WSANs) with energy harvesting provide the possibility for various real-time applications. Meanwhile, extensive research activities are carried out in the fields of efficient energy allocation and control [...] Read more.
With the rapid development of wireless sensor technology, recent progress in wireless sensor and actuator networks (WSANs) with energy harvesting provide the possibility for various real-time applications. Meanwhile, extensive research activities are carried out in the fields of efficient energy allocation and control strategy design. However, the joint design considering physical plant control, energy harvesting, and consumption is rarely concerned in existing works. In this paper, in order to enhance system control stability and promote quality of service for the WSAN energy efficiency, a novel three-step joint optimization algorithm is proposed through control strategy and energy management analysis. First, the optimal sampling interval can be obtained based on energy harvesting, consumption, and remaining conditions. Then, the control gain for each sampling interval is derived by using a backward iteration. Finally, the optimal control strategy is determined as a linear function of the current plant states and previous control strategies. The application of UAV formation flight system demonstrates that better system performance and control stability can be achieved by the proposed joint optimization design for all poor, sufficient, and general energy harvesting scenarios. Full article
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12 pages, 1209 KiB  
Article
An Efficient Routing Scheme Based on Node Attributes for Opportunistic Networks in Oceans
by Lige Ge and Shengming Jiang
Entropy 2022, 24(5), 607; https://doi.org/10.3390/e24050607 - 27 Apr 2022
Cited by 7 | Viewed by 1408
Abstract
Along with the fast development of the marine economy and ever-increasing human activities, handy and reliable marine networking services are increasingly required in recent years. The ocean faces challenges to support cost-effective communication due to its special environments. Opportunistic networks with easy deployment [...] Read more.
Along with the fast development of the marine economy and ever-increasing human activities, handy and reliable marine networking services are increasingly required in recent years. The ocean faces challenges to support cost-effective communication due to its special environments. Opportunistic networks with easy deployment and self-curing capability are expected to play an important role to adapt to such dynamic networking environments. In the literature, routing schemes for opportunistic networks mainly exploit node mobility and local relaying technologies. They did not take into account the impact of node behaviors on encountering opportunities and in case of no further relaying, network performance would be greatly degraded. To solve the problem, we propose an efficient routing scheme based on node attributes for opportunistic networks. We first construct delivery competency to predict the further relay nodes. Then a forwarding willingness mechanism is introduced to evaluate the relaying probability combining device capacity and movement behaviors of nodes. Finally, the utility metric is used to make decisions on message forwarding. The results show that the proposed scheme improves network performance in terms of delivery ratio, average latency, and overhead ratio as compared to other schemes. Full article
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