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Special Issue "Advances on Resources Management for Multi-Platform Infrastructures"

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

Deadline for manuscript submissions: 31 December 2017

Special Issue Editors

Guest Editor
Prof. Dr. Luis Javier Garcia Villalba

Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Universidad Complutense de Madrid, Office 431, E-28040 Madrid, Spain
Website | E-Mail
Phone: +34 91 394 76 38
Interests: computer security; cryptography; forensics
Guest Editor
Prof. Dr. Anura P. Jayasumana

Electrical and Computer Engineering Department, Colorado State University, Fort Collins, CO 80523-1373, USA
Website | E-Mail
Phone: 1-970-491-7855
Interests: Computer and Communication Networking; Application of sensor networks and embedded systems; VLSI
Guest Editor
Prof. Dr. Jun Bi

Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China
Website | E-Mail
Interests: SAVA; SDN; NDN; Routing

Special Issue Information

Dear Colleagues,

The development of new technologies in micro‐electro‐mechanical systems (MEMS) have increased the capacity of automatically recording, processing and sending information through different infrastructures. This new generation of devices, sensors, and actuators (RFID, Bluetooth Devices, Wireless Sensor Networks WSN, Embedded Systems, and Near Field Communication NFC), which exchange information with other on‐line, connected devices, has created a new market, based on services and applications. However, the coordination tasks between different architectures (sensor, fixed, mobile) bring key challenges in terms of theoretical foundation, security, programmability, energy efficiency, and management. This Special Issue intends to collect current development and the future directions in resource and information management in different infrastructures. We invite authors to submit their original papers. Potential topics include, but are not limited to:

  • Multiplatform Integration for fixed sensors and mobile devices.
  • Data plane and control plane architectures in fixed sensors and mobile devices.
  • Monitoring of multiplatform communication.
  • Sensors and Multiplatform Information Processing.
  • Sensors and Mobile Integration and Communication.
  • Load adaptive in SDN fixed and mobile networks.
  • Simulation for multi‐platform architectures.
  • Virtualization of data and control planes in sensors and fixed infrastructures.
  • Reliable and robust communication for multi‐platform architectures.
  • Theoretical foundation of integrated architectures.
  • Quality of Service in multiplatform schemes.

Prof. Luis Javier Garcia Villalba
Prof. Anura P. Jayasumana
Prof. Jun Bi
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.

Published Papers (9 papers)

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Research

Open AccessArticle Monitoring and Discovery for Self-Organized Network Management in Virtualized and Software Defined Networks
Sensors 2017, 17(4), 731; doi:10.3390/s17040731
Received: 27 December 2016 / Revised: 28 March 2017 / Accepted: 29 March 2017 / Published: 31 March 2017
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Abstract
This paper presents the Monitoring and Discovery Framework of the Self-Organized Network Management in Virtualized and Software Defined Networks SELFNET project. This design takes into account the scalability and flexibility requirements needed by 5G infrastructures. In this context, the present framework focuses on
[...] Read more.
This paper presents the Monitoring and Discovery Framework of the Self-Organized Network Management in Virtualized and Software Defined Networks SELFNET project. This design takes into account the scalability and flexibility requirements needed by 5G infrastructures. In this context, the present framework focuses on gathering and storing the information (low-level metrics) related to physical and virtual devices, cloud environments, flow metrics, SDN traffic and sensors. Similarly, it provides the monitoring data as a generic information source in order to allow the correlation and aggregation tasks. Our design enables the collection and storing of information provided by all the underlying SELFNET sublayers, including the dynamically onboarded and instantiated SDN/NFV Apps, also known as SELFNET sensors. Full article
(This article belongs to the Special Issue Advances on Resources Management for Multi-Platform Infrastructures)
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Open AccessArticle The Impact of 3D Stacking and Technology Scaling on the Power and Area of Stereo Matching Processors
Sensors 2017, 17(2), 426; doi:10.3390/s17020426
Received: 30 November 2016 / Revised: 12 February 2017 / Accepted: 17 February 2017 / Published: 22 February 2017
PDF Full-text (19228 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Recently, stereo matching processors have been adopted in real-time embedded systems such as intelligent robots and autonomous vehicles, which require minimal hardware resources and low power consumption. Meanwhile, thanks to the through-silicon via (TSV), three-dimensional (3D) stacking technology has emerged as a practical
[...] Read more.
Recently, stereo matching processors have been adopted in real-time embedded systems such as intelligent robots and autonomous vehicles, which require minimal hardware resources and low power consumption. Meanwhile, thanks to the through-silicon via (TSV), three-dimensional (3D) stacking technology has emerged as a practical solution to achieving the desired requirements of a high-performance circuit. In this paper, we present the benefits of 3D stacking and process technology scaling on stereo matching processors. We implemented 2-tier 3D-stacked stereo matching processors with GlobalFoundries 130-nm and Nangate 45-nm process design kits and compare them with their two-dimensional (2D) counterparts to identify comprehensive design benefits. In addition, we examine the findings from various analyses to identify the power benefits of 3D-stacked integrated circuit (IC) and device technology advancements. From experiments, we observe that the proposed 3D-stacked ICs, compared to their 2D IC counterparts, obtain 43% area, 13% power, and 14% wire length reductions. In addition, we present a logic partitioning method suitable for a pipeline-based hardware architecture that minimizes the use of TSVs. Full article
(This article belongs to the Special Issue Advances on Resources Management for Multi-Platform Infrastructures)
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Open AccessArticle Minimum Interference Channel Assignment Algorithm for Multicast in a Wireless Mesh Network
Sensors 2016, 16(12), 2056; doi:10.3390/s16122056
Received: 10 August 2016 / Revised: 18 November 2016 / Accepted: 28 November 2016 / Published: 2 December 2016
Cited by 1 | PDF Full-text (1358 KB) | HTML Full-text | XML Full-text
Abstract
Wireless mesh networks (WMNs) have been considered as one of the key technologies for the configuration of wireless machines since they emerged. In a WMN, wireless routers provide multi-hop wireless connectivity between hosts in the network and also allow them to access the
[...] Read more.
Wireless mesh networks (WMNs) have been considered as one of the key technologies for the configuration of wireless machines since they emerged. In a WMN, wireless routers provide multi-hop wireless connectivity between hosts in the network and also allow them to access the Internet via gateway devices. Wireless routers are typically equipped with multiple radios operating on different channels to increase network throughput. Multicast is a form of communication that delivers data from a source to a set of destinations simultaneously. It is used in a number of applications, such as distributed games, distance education, and video conferencing. In this study, we address a channel assignment problem for multicast in multi-radio multi-channel WMNs. In a multi-radio multi-channel WMN, two nearby nodes will interfere with each other and cause a throughput decrease when they transmit on the same channel. Thus, an important goal for multicast channel assignment is to reduce the interference among networked devices. We have developed a minimum interference channel assignment (MICA) algorithm for multicast that accurately models the interference relationship between pairs of multicast tree nodes using the concept of the interference factor and assigns channels to tree nodes to minimize interference within the multicast tree. Simulation results show that MICA achieves higher throughput and lower end-to-end packet delay compared with an existing channel assignment algorithm named multi-channel multicast (MCM). In addition, MICA achieves much lower throughput variation among the destination nodes than MCM. Full article
(This article belongs to the Special Issue Advances on Resources Management for Multi-Platform Infrastructures)
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Open AccessArticle A Reliable TTP-Based Infrastructure with Low Sensor Resource Consumption for the Smart Home Multi-Platform
Sensors 2016, 16(7), 1036; doi:10.3390/s16071036
Received: 11 May 2016 / Revised: 22 June 2016 / Accepted: 25 June 2016 / Published: 5 July 2016
Cited by 1 | PDF Full-text (1572 KB) | HTML Full-text | XML Full-text
Abstract
With the ICT technology making great progress in the smart home environment, the ubiquitous environment is rapidly emerging all over the world, but problems are also increasing proportionally to the rapid growth of the smart home market such as multiplatform heterogeneity and new
[...] Read more.
With the ICT technology making great progress in the smart home environment, the ubiquitous environment is rapidly emerging all over the world, but problems are also increasing proportionally to the rapid growth of the smart home market such as multiplatform heterogeneity and new security threats. In addition, the smart home sensors have so low computing resources that they cannot process complicated computation tasks, which is required to create a proper security environment. A service provider also faces overhead in processing data from a rapidly increasing number of sensors. This paper aimed to propose a scheme to build infrastructure in which communication entities can securely authenticate and design security channel with physically unclonable PUFs and the TTP that smart home communication entities can rely on. In addition, we analyze and evaluate the proposed scheme for security and performance and prove that it can build secure channels with low resources. Finally, we expect that the proposed scheme can be helpful for secure communication with low resources in future smart home multiplatforms. Full article
(This article belongs to the Special Issue Advances on Resources Management for Multi-Platform Infrastructures)
Open AccessArticle Computer-Aided Sensor Development Focused on Security Issues
Sensors 2016, 16(6), 759; doi:10.3390/s16060759
Received: 3 April 2016 / Revised: 12 May 2016 / Accepted: 19 May 2016 / Published: 26 May 2016
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Abstract
The paper examines intelligent sensor and sensor system development according to the Common Criteria methodology, which is the basic security assurance methodology for IT products and systems. The paper presents how the development process can be supported by software tools, design patterns and
[...] Read more.
The paper examines intelligent sensor and sensor system development according to the Common Criteria methodology, which is the basic security assurance methodology for IT products and systems. The paper presents how the development process can be supported by software tools, design patterns and knowledge engineering. The automation of this process brings cost-, quality-, and time-related advantages, because the most difficult and most laborious activities are software-supported and the design reusability is growing. The paper includes a short introduction to the Common Criteria methodology and its sensor-related applications. In the experimental section the computer-supported and patterns-based IT security development process is presented using the example of an intelligent methane detection sensor. This process is supported by an ontology-based tool for security modeling and analyses. The verified and justified models are transferred straight to the security target specification representing security requirements for the IT product. The novelty of the paper is to provide a patterns-based and computer-aided methodology for the sensors development with a view to achieving their IT security assurance. The paper summarizes the validation experiment focused on this methodology adapted for the sensors system development, and presents directions of future research. Full article
(This article belongs to the Special Issue Advances on Resources Management for Multi-Platform Infrastructures)
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Open AccessArticle Implementation Strategies for a Universal Acquisition and Tracking Channel Applied to Real GNSS Signals
Sensors 2016, 16(5), 624; doi:10.3390/s16050624
Received: 23 February 2016 / Revised: 17 April 2016 / Accepted: 20 April 2016 / Published: 2 May 2016
PDF Full-text (3157 KB) | HTML Full-text | XML Full-text
Abstract
This paper presents a universal GNSS receiver channel capable of tracking any civil GNSS signal. This fundamentally differs from dedicated channels, each customized for a given signal. A mobile device could integrate fewer universal channels to harvest all available signals. This would allow
[...] Read more.
This paper presents a universal GNSS receiver channel capable of tracking any civil GNSS signal. This fundamentally differs from dedicated channels, each customized for a given signal. A mobile device could integrate fewer universal channels to harvest all available signals. This would allow securing signal availability, while minimizing power consumption and chip size, thus maximizing battery lifetime. In fact, the universal channel allows sequential acquisition and tracking of any chipping rate, carrier frequency, FDMA channel, modulation, or constellation, and is totally configurable (any integration time, any discriminator, etc.). It can switch from one signal to another in 1.07 ms, making it possible for the receiver to rapidly adapt to its sensed environment. All this would consume 3.5 mW/channel in an ASIC implementation, i.e., with a slight overhead compared to the original GPS L1 C/A dedicated channel from which it was derived. After extensive surveys on GNSS signals and tracking channels, this paper details the implementation strategies that led to the proposed universal channel architecture. Validation is achieved using GNSS signals issued from different constellations, frequency bands, modulations and spreading code schemes. A discussion on acquisition approaches and conclusive remarks follow, which open up a new signal selection challenge, rather than satellite selection. Full article
(This article belongs to the Special Issue Advances on Resources Management for Multi-Platform Infrastructures)
Open AccessArticle Robust Stability of Scaled-Four-Channel Teleoperation with Internet Time-Varying Delays
Sensors 2016, 16(5), 593; doi:10.3390/s16050593
Received: 4 March 2016 / Revised: 12 April 2016 / Accepted: 19 April 2016 / Published: 26 April 2016
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Abstract
We describe the application of a generic stability framework for a teleoperation system under time-varying delay conditions, as addressed in a previous work, to a scaled-four-channel (γ-4C) control scheme. Described is how varying delays are dealt with by means of dynamic encapsulation, giving
[...] Read more.
We describe the application of a generic stability framework for a teleoperation system under time-varying delay conditions, as addressed in a previous work, to a scaled-four-channel (γ-4C) control scheme. Described is how varying delays are dealt with by means of dynamic encapsulation, giving rise to mu-test conditions for robust stability and offering an appealing frequency technique to deal with the stability robustness of the architecture. We discuss ideal transparency problems and we adapt classical solutions so that controllers are proper, without single or double differentiators, and thus avoid the negative effects of noise. The control scheme was fine-tuned and tested for complete stability to zero of the whole state, while seeking a practical solution to the trade-off between stability and transparency in the Internet-based teleoperation. These ideas were tested on an Internet-based application with two Omni devices at remote laboratory locations via simulations and real remote experiments that achieved robust stability, while performing well in terms of position synchronization and force transparency. Full article
(This article belongs to the Special Issue Advances on Resources Management for Multi-Platform Infrastructures)
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Open AccessArticle A Comparison of Alternative Distributed Dynamic Cluster Formation Techniques for Industrial Wireless Sensor Networks
Sensors 2016, 16(1), 65; doi:10.3390/s16010065
Received: 23 October 2015 / Revised: 28 December 2015 / Accepted: 29 December 2015 / Published: 6 January 2016
Cited by 2 | PDF Full-text (2940 KB) | HTML Full-text | XML Full-text
Abstract
In this paper, we investigate alternative distributed clustering techniques for wireless sensor node tracking in an industrial environment. The research builds on extant work on wireless sensor node clustering by reporting on: (1) the development of a novel distributed management approach for tracking
[...] Read more.
In this paper, we investigate alternative distributed clustering techniques for wireless sensor node tracking in an industrial environment. The research builds on extant work on wireless sensor node clustering by reporting on: (1) the development of a novel distributed management approach for tracking mobile nodes in an industrial wireless sensor network; and (2) an objective comparison of alternative cluster management approaches for wireless sensor networks. To perform this comparison, we focus on two main clustering approaches proposed in the literature: pre-defined clusters and ad hoc clusters. These approaches are compared in the context of their reconfigurability: more specifically, we investigate the trade-off between the cost and the effectiveness of competing strategies aimed at adapting to changes in the sensing environment. To support this work, we introduce three new metrics: a cost/efficiency measure, a performance measure, and a resource consumption measure. The results of our experiments show that ad hoc clusters adapt more readily to changes in the sensing environment, but this higher level of adaptability is at the cost of overall efficiency. Full article
(This article belongs to the Special Issue Advances on Resources Management for Multi-Platform Infrastructures)
Open AccessArticle An Enhanced Error Model for EKF-Based Tightly-Coupled Integration of GPS and Land Vehicle’s Motion Sensors
Sensors 2015, 15(9), 24269-24296; doi:10.3390/s150924269
Received: 20 July 2015 / Revised: 9 September 2015 / Accepted: 11 September 2015 / Published: 22 September 2015
PDF Full-text (2431 KB) | HTML Full-text | XML Full-text
Abstract
Reduced inertial sensor systems (RISS) have been introduced by many researchers as a low-cost, low-complexity sensor assembly that can be integrated with GPS to provide a robust integrated navigation system for land vehicles. In earlier works, the developed error models were simplified based
[...] Read more.
Reduced inertial sensor systems (RISS) have been introduced by many researchers as a low-cost, low-complexity sensor assembly that can be integrated with GPS to provide a robust integrated navigation system for land vehicles. In earlier works, the developed error models were simplified based on the assumption that the vehicle is mostly moving on a flat horizontal plane. Another limitation is the simplified estimation of the horizontal tilt angles, which is based on simple averaging of the accelerometers’ measurements without modelling their errors or tilt angle errors. In this paper, a new error model is developed for RISS that accounts for the effect of tilt angle errors and the accelerometer’s errors. Additionally, it also includes important terms in the system dynamic error model, which were ignored during the linearization process in earlier works. An augmented extended Kalman filter (EKF) is designed to incorporate tilt angle errors and transversal accelerometer errors. The new error model and the augmented EKF design are developed in a tightly-coupled RISS/GPS integrated navigation system. The proposed system was tested on real trajectories’ data under degraded GPS environments, and the results were compared to earlier works on RISS/GPS systems. The findings demonstrated that the proposed enhanced system introduced significant improvements in navigational performance. Full article
(This article belongs to the Special Issue Advances on Resources Management for Multi-Platform Infrastructures)

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