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Editorial Board Members’ Collection Series: Distributed Computing in Sensor Systems

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

Deadline for manuscript submissions: 20 May 2024 | Viewed by 1147

Special Issue Editors


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Guest Editor
Shanghai Research Institite for Intelligenet Autonomous Systems, Tongji University, Shanghai, China
Interests: multi-agent networks; distributed optimization and games; machine learning; social networks; nonlinear systems and control; automata and abstraction; autonomous systems; smart grid; software reliability

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Guest Editor
1. Department of Electrical, Electronic and Communication Engineering & Institute for Smart Cities (ISC), Public University of Navarre, 31006 Pamplona, Spain
2. School of Engineering and Science, Tecnologico de Monterrey, Monterrey 64849, Mexico
Interests: wireless networks; performance evaluation; distributed systems; context-aware environments; IoT; next-generation wireless systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As a new computing model, cloud computing delivers data center resources including computing, storage and other infrastructure resources to users in the form of services through virtualization technology. The aim in providing these services is to enable users to access computing resources on the cloud to run applications on demand through the Internet. To provide users with better services, the distributed cloud unites multiple cloud sites across regions to create a huge resource pool, while also taking advantage of geographical distribution to improve service quality. This Special Issue invites contributions that cover recent advances in distributed computing and aims to provide a common space for researchers to share their high-quality research and outcomes.

Appropriate topics include, but are not limited to:

  • distributed computing in concrete areas of human activities;
  • existing and future computing infrastructures (clusters, grids, clouds, SDN, SDS, NFV, etc.);
  • future of distributed computing and its impact on sustainable development;
  • existing and future internet and Internet of things (IoT);
  • distributed and parallel algorithms;
  • impact of distributed computing in financial transactions;
  • novel communication protocols and solutions for distributed computing;
  • security and privacy challenges and solutions in distributed computing frameworks;
  • cooperative control of multi-agent systems;
  • distributed compuation for optimization and game.

Dr. Yiguang Hong
Prof. Dr. Francisco Falcone
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. 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.

Published Papers (1 paper)

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Research

22 pages, 2593 KiB  
Article
Adaptive Output Containment Tracking Control for Heterogeneous Wide-Area Networks with Aperiodic Intermittent Communication and Uncertain Leaders
by Yanpeng Shi, Jiangping Hu and Bijoy Kumar Ghosh
Sensors 2023, 23(20), 8631; https://doi.org/10.3390/s23208631 - 22 Oct 2023
Viewed by 675
Abstract
This paper proposes an adaptive distributed hybrid control approach to investigate the output containment tracking problem of heterogeneous wide-area networks with intermittent communication. First, a clustered network is modeled for a wide-area scenario. An aperiodic intermittent communication mechanism is exerted on the clusters [...] Read more.
This paper proposes an adaptive distributed hybrid control approach to investigate the output containment tracking problem of heterogeneous wide-area networks with intermittent communication. First, a clustered network is modeled for a wide-area scenario. An aperiodic intermittent communication mechanism is exerted on the clusters such that clusters only communicate through leaders. Second, in order to remove the assumption that each follower must know the system matrix of the leaders and achieve output containment, a distributed adaptive hybrid control strategy is proposed for each agent under the internal model and adaptive estimation mechanism. Third, sufficient conditions based on average dwell-time are provided for the output containment achievement using a Lyapunov function method, from which the exponential stability of the closed-loop system is analyzed. Finally, simulation results are presented to demonstrate the effectiveness of the proposed adaptive distributed intermittent control strategy. Full article
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