E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Special Issue "Middleware Solutions for Wireless Internet of Things"

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

Deadline for manuscript submissions: closed (15 January 2019)

Special Issue Editors

Guest Editor
Prof. Dr. Paolo Bellavista

Department of Computer Science and Engineering (DISI), University of Bologna, 40136 Bologna, Italy
Website | E-Mail
Phone: +39-051-20 93866
Fax: +39-051-20 93953
Interests: wireless sensor and actuator networks; middleware for sensor and actuator networks; vehicular sensor networks; online stream processing of sensing dataflows; IoT and big data processing; pervasive computing; cooperative networking; context management; location-based services and support
Guest Editor
Dr. Carlo Giannelli

Department of Mathematics and Computer Science, University of Ferrara, 44121 Ferrara, Italy
Website | E-Mail
Interests: industrial internet of things; software defined networking; heterogeneous wireless interface integrationand hybrid infrastructure/ad hoc and spontaneous multi-hop networking environments based on social relationships exploiting middleware solutions
Guest Editor
Prof. Sajal K. Das

Department of Computer Science, 315 Computer Science Bldg, Missouri University of Science and Technology, Rolla, MO 65409, USA
Website | E-Mail
Interests: cyber-physical systems; security and privacy; smart environments (smart city, smart grid, smart healthcare); wireless and sensor networks; mobile and pervasive computing; data analytics; parallel, distributed, and cloud computing; social networks; systems biology; applied graph theory and game theory
Guest Editor
Prof. Jiannong Cao

Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Website | E-Mail
Fax: +852 27740842
Interests: distributed computing; mobile and pervasive computing; wireless sensor networks; cloud computing; big data

Special Issue Information

Dear Colleagues,

The proliferation of powerful but cheap devices, together with the availability of a plethora of wireless technologies, has pushed for the spread of the Wireless Internet of Things (WIoT), and is typically much more heterogeneous, dynamic, and general-purpose if compared with the traditional Internet of Things. The WIoT is characterized by the dynamic interaction of traditional infrastructure devices, e.g., sensors and actuators, provided by municipalities in Smart Cities, and other portable devices, such as smartphones, opportunistically integrated to dynamically extend and enhance the WIoT environment.

A key enabler of this vision is the advancement of software and middleware technologies in various mobile-related sectors, ranging from the effective synergic management of wireless communications to mobility/adaptivity support in operating systems and differentiated integration and management of devices with heterogeneous capabilities in middleware, from horizontal support to crowdsourcing in different application domains to dynamic offloading to cloud resources, only to mention a few.

Overall, this delves into deployment scenarios providing a set of services that can significantly change over their lifetime, supported by smartphones providing additional sensing/actuating capabilities, networking/computing resources, and services. Eventually, the WIoT can be characterized by the lack of an administrative controller in charge of selectively allowing/denying devices willing to join the network with provided networking/service capabilities, or the presence of multiple administrative controllers that should interact in a federated manner.

In this Special Issue, articles regarding the use of technologies, methodologies, and applications for WIoT environments characterized by a heterogeneous, distributed, and dynamic nature are invited. Authors are encouraged to submit articles that describe original research and present results that advance the state-of-the-art in the field and report about experiences based on real-world use cases and deployments, including survey/tutorial manuscripts.

Prof. Paolo Bellavista
Dr. Carlo Giannelli
Prof. Sajal K. Das
Prof. Jiannong Cao
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 bimonthly 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

  • middleware, architectures, and protocols for the WIoT
  • things/edge/fog/cloud continuum for the WIoT
  • middleware for WIoT data processing and dispatching
  • middleware for latency and reliability constrained WIoT
  • dynamic service composition and adaptation
  • support for containerization
  • overlay networking for dynamic and distributed management
  • heterogeneous device and connectivity management
  • software defined networking
  • infrastructure-based and device-to-device communication
  • wireless access networks for IoT
  • inter-domain joint management and federation
  • energy-efficient applications, services, and middleware
  • mobile crowdsourcing and people-centric collaborative sensing
  • integration of WIoT and Smart City environments
  • WIoT and Industry 4.0
  • WIoT to support end-user mobile companions
  • interoperability and open interfaces for integration
  • trustworthiness, security, and privacy

Published Papers (3 papers)

View options order results:
result details:
Displaying articles 1-3
Export citation of selected articles as:

Research

Open AccessArticle A Processing-in-Memory Architecture Programming Paradigm for Wireless Internet-of-Things Applications
Sensors 2019, 19(1), 140; https://doi.org/10.3390/s19010140
Received: 6 December 2018 / Revised: 27 December 2018 / Accepted: 27 December 2018 / Published: 3 January 2019
PDF Full-text (2359 KB) | HTML Full-text | XML Full-text
Abstract
The widespread applications of the wireless Internet of Things (IoT) is one of the leading factors in the emerging of Big Data. Huge amounts of data need to be transferred and processed. The bandwidth and latency of data transfers have posed a new
[...] Read more.
The widespread applications of the wireless Internet of Things (IoT) is one of the leading factors in the emerging of Big Data. Huge amounts of data need to be transferred and processed. The bandwidth and latency of data transfers have posed a new challenge for traditional computing systems. Under Big Data application scenarios, the movement of large scales of data would influence performance, power efficiency, and reliability, which are the three fundamental attributes of a computing system. Thus, changes in the computing paradigm are demanding. Processing-in- Memory (PIM), aiming at placing computation as close as possible to memory, has become of great interest to academia as well as industries. In this work, we propose a programming paradigm for PIM architecture that is suitable for wireless IoT applications. A data-transferring mechanism and middleware architecture are presented. We present our methods and experiences on simulation-platform design, as well as FPGA demo design, for PIM architecture. Typical applications in IoT, such as multimedia and MapReduce programs, are used as demonstration of our method’s validity and efficiency. The programs could successfully run on the simulation platform built based on Gem5 and on the FPGA demo. Results show that our method could largely reduce power consumption and execution time for those programs, which is very beneficial in IoT applications. Full article
(This article belongs to the Special Issue Middleware Solutions for Wireless Internet of Things)
Figures

Figure 1

Open AccessArticle Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure
Sensors 2019, 19(1), 70; https://doi.org/10.3390/s19010070
Received: 13 November 2018 / Revised: 21 December 2018 / Accepted: 21 December 2018 / Published: 25 December 2018
PDF Full-text (669 KB) | HTML Full-text | XML Full-text
Abstract
Plan Ceibal is the name coined in Uruguay for the local implementation of the One Laptop Per Child (OLPC) initiative. Plan Ceibal distributes laptops and tablets to students and teachers, and also deploys a nationwide wireless network to provide Internet access to these
[...] Read more.
Plan Ceibal is the name coined in Uruguay for the local implementation of the One Laptop Per Child (OLPC) initiative. Plan Ceibal distributes laptops and tablets to students and teachers, and also deploys a nationwide wireless network to provide Internet access to these devices, provides video conference facilities, and develops educational applications. Given the scale of the program, management in general, and specifically device management, is a very challenging task. Device maintenance and replacement is a particularly important process; users trigger such kind of replacement processes and usually imply several days without the device. Early detection of fault conditions in the most stressed hardware parts (e.g., batteries) would permit to prompt defensive replacement, contributing to reduce downtime, and improving the user experience. Seeking for better, preventive and scalable device management, in this paper we present a prototype of a Mobile Device Management (MDM) module for Plan Ceibal, developed over an IoT infrastructure, showing the results of a controlled experiment over a sample of the devices. The prototype is deployed over a public IoT infrastructure to speed up the development process, avoiding, in this phase, the need for local infrastructure and maintenance, while enforcing scalability and security requirements. The presented data analysis was implemented off-line and represents a sample of possible metrics which could be used to implement preventive management in a real deployment. Full article
(This article belongs to the Special Issue Middleware Solutions for Wireless Internet of Things)
Figures

Figure 1

Open AccessFeature PaperArticle Performance Analysis of Latency-Aware Data Management in Industrial IoT Networks
Sensors 2018, 18(8), 2611; https://doi.org/10.3390/s18082611
Received: 6 July 2018 / Revised: 31 July 2018 / Accepted: 9 August 2018 / Published: 9 August 2018
Cited by 1 | PDF Full-text (1919 KB) | HTML Full-text | XML Full-text
Abstract
Maintaining critical data access latency requirements is an important challenge of Industry 4.0. The traditional, centralized industrial networks, which transfer the data to a central network controller prior to delivery, might be incapable of meeting such strict requirements. In this paper, we exploit
[...] Read more.
Maintaining critical data access latency requirements is an important challenge of Industry 4.0. The traditional, centralized industrial networks, which transfer the data to a central network controller prior to delivery, might be incapable of meeting such strict requirements. In this paper, we exploit distributed data management to overcome this issue. Given a set of data, the set of consumer nodes and the maximum access latency that consumers can tolerate, we consider a method for identifying and selecting a limited set of proxies in the network where data needed by the consumer nodes can be cached. The method targets at balancing two requirements; data access latency within the given constraints and low numbers of selected proxies. We implement the method and evaluate its performance using a network of WSN430 IEEE 802.15.4-enabled open nodes. Additionally, we validate a simulation model and use it for performance evaluation in larger scales and more general topologies. We demonstrate that the proposed method (i) guarantees average access latency below the given threshold and (ii) outperforms traditional centralized and even distributed approaches. Full article
(This article belongs to the Special Issue Middleware Solutions for Wireless Internet of Things)
Figures

Figure 1

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top