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Special Issue "Sensor Networks for Collaborative and Secure Internet of Things"

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

Deadline for manuscript submissions: 31 January 2018

Special Issue Editors

Guest Editor
Prof. Dr. Lei Shu

Guangdong University of Petrochemical Technology, China / University of Lincoln, UK
Website | E-Mail
Interests: wireless sensor networks; multimedia communication; middleware; security
Guest Editor
Prof. Dr. Mohsen Guizani

Department of Electrical and Computer Engineering, University of Idaho, USA
Website | E-Mail
Interests: wireless communications and mobile computing; computer networks; mobile cloud computing; security and smart grid
Guest Editor
Dr. Chunsheng Zhu

Department of Electrical and Computer Engineering, The University of British Columbia, Canada
Website | E-Mail
Interests: wireless sensor networks; cloud computing; Internet of Things; big data; social networks; security

Special Issue Information

Dear Colleagues,

Leveraging various information and communication technologies, our Internet is evolving into the Internet of Things (IoT) which aims to offer various comfortable and convenient services (e.g., smart climate control, smart street lighting, smart transportation, smart parking, and smart grid) to people. However, collaboration and security are identified as two critical issues that go under the radar of enthusiasts championing the IoT concept (i.e., connecting “Things” in the world). Specifically, research has shown that collaboration is the key to an open and accessible IoT. Investigation has found that security is the key to a trustable and robust IoT. In addition, collecting data from the “Things”, sensor networks act as the “eyes” and “ears” of IoT.

Therefore, toward a collaborative and secure IoT from the sensor networks perspective, this Special Issue solicits original technical papers with novel contributions on sensor networks taking into account the collaboration and security issues of IoT. Tutorial or survey papers are also welcome. In addition, selected high quality papers from Collaboratecom 2017 (http://collaboratecom.org/2017/show/home) will be invited for further consideration in this Special Issue for publication. Potential topics include, but are not limited to:

  • Communication in sensor networks for collaborative IoT
  • Communication in sensor networks for secure IoT
  • Computing in sensor networks for collaborative IoT
  • Computing in sensor networks for secure IoT
  • Middleware in sensor networks for collaborative IoT
  • Middleware in sensor networks for secure IoT
  • Cross-layer design in sensor networks for collaborative IoT
  • Cross-layer design in sensor networks for secure IoT
  • Testbed in sensor networks for collaborative IoT
  • Testbed in sensor networks for secure IoT
  • Novel application in sensor networks for collaborative IoT
  • Novel application in sensor networks for secure IoT                                  

Prof. Dr. Lei Shu
Prof. Dr. Mohsen Guizani
Dr. Chunsheng Zhu
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 papers will be 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 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 1800 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
  • Collaboration
  • Security
  • Sensor network
  • Communication
  • Computing
  • Middleware

Published Papers (1 paper)

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Research

Open AccessArticle Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks
Sensors 2017, 17(7), 1677; doi:10.3390/s17071677 (registering DOI)
Received: 20 June 2017 / Revised: 11 July 2017 / Accepted: 12 July 2017 / Published: 21 July 2017
PDF Full-text (503 KB) | HTML Full-text | XML Full-text
Abstract
In Internet of Things (IoT) enabled Wireless Sensor Networks (WSNs), there are two major factors which degrade the performance of the network. One is the void hole which occurs in a particular region due to unavailability of forwarder nodes. The other is the
[...] Read more.
In Internet of Things (IoT) enabled Wireless Sensor Networks (WSNs), there are two major factors which degrade the performance of the network. One is the void hole which occurs in a particular region due to unavailability of forwarder nodes. The other is the presence of energy hole which occurs due to imbalanced data traffic load on intermediate nodes. Therefore, an optimum transmission strategy is required to maximize the network lifespan via hole alleviation. In this regard, we propose a heterogeneous network solution that is capable to balance energy dissipation among network nodes. In addition, the divide and conquer approach is exploited to evenly distribute number of transmissions over various network areas. An efficient forwarder node selection is performed to alleviate coverage and energy holes. Linear optimization is performed to validate the effectiveness of our proposed work in term of energy minimization. Furthermore, simulations are conducted to show that our claims are well grounded. Results show the superiority of our work as compared to the baseline scheme in terms of energy consumption and network lifetime. Full article
(This article belongs to the Special Issue Sensor Networks for Collaborative and Secure Internet of Things)
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