QoS in Wireless Sensor/Actuator Networks

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Wireless Control Networks".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 11537

Special Issue Editors


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Guest Editor
PORTIC - Porto Research Technology and Innovation Centre, Polytechnic Institute of Porto, 4100 Porto, Portugal
Interests: wireless sensor and actuator networks; QoS focusing on timeliness and dependability; Internet of Things; cooperative cyberphysical systems

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Guest Editor
School of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, Sweden
Interests: wireless networks; intelligent wireless communication; sensor networks; mobile computing; edge computing; Internet of Things; software defined networking
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Special Issue Information

Dear Colleagues,

We are at the brink of a new industrial revolution, fueled by increasing miniaturization and the ubiquity of modern embedded systems as well as advances in artificial intelligence and in information and communication technologies. Computers, sensors, and actuators are becoming more ubiquitous and, most importantly, increasingly connected, and as this revolution unfolds, these cyberphysical systems are pushing the boundaries of scalability and reaching unprecedented levels of autonomy.

Naturally, wireless communication technologies and, in particular, wireless sensor and actuator networks (WSANs), became the primary enabler for such applications and are envisaged to shape the supporting communication infrastructure for the Industry 4.0 and Internet-of-Things paradigms. Consequently, WSANs are increasingly being considered for deployment in applications such as in industrial automation, process control, ambient assisted living, structural health monitoring or homeland security, but also for unexpected safety-critical scenarios, such advanced driving assistance systems or aircraft active airflow control systems.

However, although wireless communication technologies have  been pervasive in our daily lives for decades, their adoption in safety- or mission-critical scenarios has been quite slow, mostly due to limitations related to reliability, security, and overall dependability. Undeniably, most of these applications require stringent Quality-of-Service (QoS) guarantees from their underlying communication infrastructures (regardless of their wireless or hybrid nature), and while QoS has been traditionally associated with bit/data rate, network throughput, message delay, and bit/packet error rate, these properties alone do not reflect the overall QoS that needs to be provided to this type of application (and their users). Other (non-functional) properties must also be considered in the design of such complex cyberphysical systems. Importantly, designers must now balance such properties in interplay with security and safety.

This Special Issue targets scientific contributions on wireless sensor/actuator networks and systems (WSANs) addressing QoS properties (hopefully in combination) such as reliability and robustness, timeliness and real-time properties, scalability, mobility, security and privacy, and energy efficiency and sustainability. We particularly seek papers concerning long-standing cases that have been sufficiently tested and evaluated, either through analytical, simulation, or experimental models (hopefully in combination). Extensions to previously published works are accepted, provided that this fact is clearly stated in the submission and the new contribution is significant.

In this context, we are envisaging works covering one or more of the following WSAN topics, with QoS as an overall concern and overarching aspect:

  • System architectures―e.g., improving hardware (e.g., radio technology), software (including operating systems), and communication network architectures to achieve better QoS; scalability; WSAN integration in and interoperability with legacy wired systems; cross-layer design.
  • Reliability and robustness―improving communication errors detection/correction, hardware robustness, systems reliability in general.
  • Timeliness and real-time―improving the timing behavior and reducing/bounding (end-to-end) communication delays, innovative time synchronization techniques.
  • Security and privacy―new mechanisms to grant adequate levels of security/privacy without jeopardizing energy and time.
  • Mobility―mechanisms to support mobile devices in a seamless and transparent way, i.e., still respecting the overall QoS requirements.
  • Energy sustainability, efficiency, and harvesting―improving devices/system lifetime, e.g., through optimized communications scheduling/duty-cycling and energy/delay trade-offs.
  • Radio interference identification and mitigation―improving the detection, classification and mitigation of communication errors deriving from radio propagation and interference.
  • Communication and network protocols: QoS add-ons, performance/worst-case analysis (analytical, simulation, experimental).
  • QoS in the Internet-of-Things, cyberphysical systems and Industry 4.0 contexts.
  • Experimental facilities and test-beds, pilot demonstrations/deployments; innovative simulation and emulation models, platforms, and methodologies.
  • Real-world applications, such as in smart health, environmental/structural monitoring, factory automation, process control, smart buildings, body sensor networks, vehicular networks or security/surveillance.
  • Communication standards and technologies for WSAN, e.g., IEEE 802.11, WiFi, IEEE 802.15.4, ZigBee, 6loWPAN, WirelessHART, ISA SP100, MQTT, DASH7, SigFox, LoRa, and their integration/interoperability with wired networks.
  • Novel communication technologies to overcome an increasingly overcrowded radio spectrum (e.g., visible light, mm-wave, thermal, vibration, acoustic) communication.

Dr. Ricardo Severino
Dr. Hossein Fotouhi
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. Journal of Sensor and Actuator Networks 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 2000 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

  • wireless
  • quality-of-service
  • reliability
  • real-time
  • security
  • dependability

Published Papers (4 papers)

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Research

24 pages, 3902 KiB  
Article
Hybrid SDN Performance: Switching between Centralized and Distributed Modes under Unreliable Control Communication Channels
by Mohammed Osman and Josep Mangues-Bafalluy
J. Sens. Actuator Netw. 2021, 10(3), 57; https://doi.org/10.3390/jsan10030057 - 20 Aug 2021
Cited by 1 | Viewed by 2905
Abstract
Software-defined networking generally assumes ideal control channels between controller and network nodes. This may not be the case in challenged environments that are becoming more common due to dense and reduced-coverage 5G deployments and use cases requiring cost-effective wireless transport networks. In this [...] Read more.
Software-defined networking generally assumes ideal control channels between controller and network nodes. This may not be the case in challenged environments that are becoming more common due to dense and reduced-coverage 5G deployments and use cases requiring cost-effective wireless transport networks. In this paper, we evaluate the impact on network performance of unreliable controller-to-node communication channels, propose a hybrid SDN (hSDN) solution that switches between centralized and distributed operational modes depending on network conditions, and evaluate this solution under a variety of network scenarios (e.g., link impairments or packet loss ratios) designed to assess its operational limits. The results show that the proposed solution substantially improved the aggregated throughput, particularly when control channel packet loss ratios increased, while only showing a slight increase in average latency (e.g., 28% throughput improvement for 20% control packet losses). This enables network operation in hard conditions under which a canonical centralized SDN control would result in a nonoperational network. Full article
(This article belongs to the Special Issue QoS in Wireless Sensor/Actuator Networks)
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23 pages, 2888 KiB  
Article
SCATTER: Service Placement in Real-Time Fog-Assisted IoT Networks
by Fariba Khosroabadi, Faranak Fotouhi-Ghazvini and Hossein Fotouhi
J. Sens. Actuator Netw. 2021, 10(2), 26; https://doi.org/10.3390/jsan10020026 - 6 Apr 2021
Cited by 18 | Viewed by 3103
Abstract
Internet of Things (IoT) networks dependent on cloud services usually fail in supporting real-time applications as there is no response time guarantees. The fog computing paradigm has been used to alleviate this problem by executing tasks at the edge of the network, where [...] Read more.
Internet of Things (IoT) networks dependent on cloud services usually fail in supporting real-time applications as there is no response time guarantees. The fog computing paradigm has been used to alleviate this problem by executing tasks at the edge of the network, where it is possible to provide time bounds. One of the challenging topics in a fog-assisted architecture is to task placement on edge devices in order to obtain a good performance. The process of task mapping into computational devices is known as Service Placement Problem (SPP). In this paper, we present a heuristic algorithm to solve SPP, dubbed as clustering of fog devices and requirement-sensitive service first (SCATTER). We provide simulations using iFogSim toolkit and experimental evaluations using real hardware to verify the feasibility of the SCATTER algorithm by considering a smart home application. We compared the SCATTER with two existing works: edge-ward and cloud-only approaches, in terms of Quality of Service (QoS) metrics. Our experimental results have demonstrated that SCATTER approach has better performance compared with the edge-ward and cloud-only, 42.1% and 60.2% less application response times, 22% and 27.8% less network usage, 45% and 65.7% less average application loop delays, and 2.33% and 3.2% less energy consumption. Full article
(This article belongs to the Special Issue QoS in Wireless Sensor/Actuator Networks)
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20 pages, 1179 KiB  
Article
A Comprehensive Worst Case Bounds Analysis of IEEE 802.15.7
by Harrison Kurunathan, Ricardo Severino and Eduardo Tovar
J. Sens. Actuator Netw. 2021, 10(2), 23; https://doi.org/10.3390/jsan10020023 - 26 Mar 2021
Cited by 6 | Viewed by 2336
Abstract
Visible Light Communication (VLC) has been emerging as a promising technology to address the increasingly high data-rate and time-critical demands that the Internet of Things (IoT) and 5G paradigms impose on the underlying Wireless Sensor Actuator Networking (WSAN) technologies. In this line, the [...] Read more.
Visible Light Communication (VLC) has been emerging as a promising technology to address the increasingly high data-rate and time-critical demands that the Internet of Things (IoT) and 5G paradigms impose on the underlying Wireless Sensor Actuator Networking (WSAN) technologies. In this line, the IEEE 802.15.7 standard proposes several physical layers and Medium Access Control (MAC) sub-layer mechanisms that support a variety of VLC applications. Particularly, at the MAC sub-layer, it can support contention-free communications using Guaranteed Timeslots (GTS), introducing support for time-critical applications. However, to effectively guarantee accurate usage of such functionalities, it is vital to derive the worst-case bounds of the network. In this paper, we use network calculus to carry out the worst-case bounds analysis for GTS utilization of IEEE 802.15.7 and complement our model with an in-depth performance analysis. We also propose the inclusion of an additional mechanism to improve the overall scalability and effective bandwidth utilization of the network. Full article
(This article belongs to the Special Issue QoS in Wireless Sensor/Actuator Networks)
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21 pages, 3010 KiB  
Article
A Model-Based Approach for Adaptable Middleware Evolution in WSN Platforms
by Walter Tiberti, Dajana Cassioli, Antinisca Di Marco, Luigi Pomante and Marco Santic
J. Sens. Actuator Netw. 2021, 10(1), 20; https://doi.org/10.3390/jsan10010020 - 4 Mar 2021
Cited by 6 | Viewed by 2406
Abstract
Advances in technology call for a parallel evolution in the software. New techniques are needed to support this dynamism, to track and guide its evolution process. This applies especially in the field of embedded systems, and certainly in Wireless Sensor Networks (WSNs), where [...] Read more.
Advances in technology call for a parallel evolution in the software. New techniques are needed to support this dynamism, to track and guide its evolution process. This applies especially in the field of embedded systems, and certainly in Wireless Sensor Networks (WSNs), where hardware platforms and software environments change very quickly. Commonly, operating systems play a key role in the development process of any application. The most used operating system in WSNs is TinyOS, currently at its TinyOS 2.1.2 version. The evolution from TinyOS 1.x and TinyOS 2.x made the applications developed on TinyOS 1.x obsolete. In other words, these applications are not compatible out-of-the-box with TinyOS 2.x and require a porting action. In this paper, we discuss on the porting of embedded system (i.e., Wireless Sensor Networks) applications in response to operating systems’ evolution. In particular, using a model-based approach, we report the porting we did of Agilla, a Mobile-Agent Middleware (MAMW) for WSNs, on TinyOS 2.x, which we refer to as Agilla 2. We also provide a comparative analysis about the characteristics of Agilla 2 versus Agilla. The proposed Agilla 2 is compatible with TinyOS 2.x, has full capabilities and provides new features, as shown by the maintainability and performance measurement presented in this paper. An additional valuable result is the architectural modeling of Agilla and Agilla 2, missing before, which extends its documentation and improves its maintainability. Full article
(This article belongs to the Special Issue QoS in Wireless Sensor/Actuator Networks)
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