Low jitter scheduling for Industrial Wireless Sensor and Actuator Networks

Yu, Kuanxin; Gidlund, Mikael; Akerbergy, Johan; Björkman, Mats

doi:10.1109/iecon.2013.6700050

Cited by 13 publications

(6 citation statements)

References 9 publications

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“…Similarly, strong multi-path and fast channel variations characteristics of industrial environments leads to packet loss and high latency (Zheng et al, 2012). Therefore, without a reliable and efficient communication protocol, the performance of IWSNs are degraded resulting in shortened network lifetime, decreased propagation speed and increased packet loss rate (Yu et al, 2013).…”

Section: Cognitive Radio Industrial Wireless Sensor Networkmentioning

confidence: 99%

A survey of cognitive radio handoff schemes, challenges and issues for industrial wireless sensor networks (CR-IWSN)

Oyewobi

Hancke

2017

Journal of Network and Computer Applications

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Industrial wireless sensor network (IWSN) applications are mostly timebound, mission-critical and highly delay sensitive applications therefore IWSN defines strict, stringent and unique QoS requirements such as timeliness, reliability and availability. In IWSN, unlike other sensor networks, late arrival of packets or delay or disruption to an on-going communication are considered as critical failure. Also, because IWSN is deployed in the overcrowded industrial, scientific, and medical (ISM) band it is difficult to meet this unique QoS requirements due to stiff competition for bandwidth from other technologies operating in ISM band resulting in scarcity of spectrum for reliable communication and/or disruption of ongoing communication. However, cognitive radio (CR) provides more spectral opportunities through opportunistic-use of unused licensed spectrum while ensuring minimal interference to licensed users. Similarly, spectrum handoff, which is a new type of handoff in cognitive radio, has the potential to offer increase bandwidth, reliable, smooth and interference-free communication for IWSNs through opportunistic-use of spectrum, minimal switching-delays, and efficient target channel selection strategies as well as effective link recovery maintenance. As a result, a new paradigm known as cognitive radio industrial wireless sensor network (CR-IWSN) has become the interest of recent research efforts. In this paper, we highlight and discuss important QoS requirements of IWSN as well as efforts of existing IWSN standards to address the challenges. We discuss the potential and how cognitive radio and spectrum handoff can be useful in the attempt to provide real-time reliable and smooth communication for IWSNs.Keywords: cognitive radio, industrial wireless sensor network, opportunistic use, spectrum handoff, quality of service. (Cheng et al., 2016;Silva et al., 2015;Silva and Hancke, 2016). Therefore, reliable and stable communication is of critical importance and top priority in IWSNs (Kumar S et al., 2014;Phala et al., 2016). For instance, in industrial automation; precision and timeliness are important and in industrial monitoring; availability, reliability, delay-intolerance, and robustness of communication links are key (Abu-Mahfouz and Hancke, 2011;Silva and Hancke, 2016). Yet, these requirements can be relatively difficult to achieve when operating in the ISM band due to interference and overcrowding which result in continuous switching, high latency due to switching, reduced link capacity and disruption of on-going communications. However, spectrum handoff can offer increase bandwidth, reliable, smooth and interference-free communication for IWSNs through opportunistic-use of spectrum, minimal switching-delays, and efficient target channel selection strategies as well as effective link recovery maintenance. A well-planned and designed spectrum handoff technique will provide reliable communication by reducing number of spectrum handoffs and maintaining quality communication link for IWSN systems and application...

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Section: Cognitive Radio Industrial Wireless Sensor Networkmentioning

confidence: 99%

A survey of cognitive radio handoff schemes, challenges and issues for industrial wireless sensor networks (CR-IWSN)

Oyewobi

Hancke

2017

Journal of Network and Computer Applications

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“…For example, we can cite algorithms, like [ 73 ] (which is based on the distributed coloring of the nodes), the QoS-supportive distributed scheduling algorithm for real-time applications (D-SAR) in [ 47 ] and the rapid response oriented source-aware SAS-TDMA in [ 74 ]. Furthermore, delay and jitter minimization solutions are presented in [ 75 ], respectively, [ 76 ]. [ 77 ] presents a survey of TDMA-based MAC protocols for WSN communications, which includes orientations for scheduling proposals.…”

Section: Wirelesshart Scheduling Schemesmentioning

confidence: 99%

Routing and Scheduling Algorithms for WirelessHARTNetworks: A Survey

Nobre

Silva

Guedes

2015

Sensors

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Wireless communication is a trend nowadays for the industrial environment. A number of different technologies have emerged as solutions satisfying strict industrial requirements (e.g., WirelessHART, ISA100.11a, WIA-PA). As the industrial environment presents a vast range of applications, adopting an adequate solution for each case is vital to obtain good performance of the system. In this context, the routing and scheduling schemes associated with these technologies have a direct impact on important features, like latency and energy consumption. This situation has led to the development of a vast number of routing and scheduling schemes. In the present paper, we focus on the WirelessHART technology, emphasizing its most important routing and scheduling aspects in order to guide both end users and the developers of new algorithms. Furthermore, we provide a detailed literature review of the newest routing and scheduling techniques for WirelessHART, discussing each of their features. These routing algorithms have been evaluated in terms of their objectives, metrics, the usage of the WirelessHART structures and validation method. In addition, the scheduling algorithms were also evaluated by metrics, validation, objectives and, in addition, by multiple superframe support, as well as by the redundancy method used. Moreover, this paper briefly presents some insights into the main WirelessHART simulation modules available, in order to provide viable test platforms for the routing and scheduling algorithms. Finally, some open issues in WirelessHART routing and scheduling algorithms are discussed.

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“…5) Timeslot Management: Since the TDMA scheme is applied on the datalink layer, timeslots need to be scheduled for all nodes for conflict-free communication. The TDMA scheduling algorithm used in our prototype is totally based on the previous work [11]. Once the scheduling decision is made, the network manager needs to distribute the new TDMA scheduling decisions to all nodes.…”

Section: Protocol Stack Implementationmentioning

confidence: 99%

Realization and measurements of industrial wireless sensor and actuator networks

Åkerberg

Gidlund

et al. 2015

2015 IEEE International Conference on Automation Science and Engineering (CASE)

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Industrial automation can benefit from applying wireless sensor and actuator networks (WSAN) on cost reduction, mobility and flexibility. However, wireless solutions are more prone to interferences compared to wired ones. In order to avoid production losses and to keep the revenues at an anticipated level, it is of utmost importance for WSANs to meet the stringent requirements from industrial automation, such as high reliability and real-time performance. A great number of research efforts were taken in this field based on simulations, but simulation results may not show sufficient confidence. Existing implementations and products compatible with the standards may still fail to provide reliable and real-time communication. Therefore, in this paper we built a prototype of industrial wireless sensor and actuator networks (IWSAN) and implemented a protocol stack, aiming for providing reliable and real-time communication for mission-critical industrial applications. Afterwards, we deployed our prototype and conducted measurements in real industrial environments. Our measurement results exhibited possibility of applying IWSANs for industrial applications and brought more evidence to our industry.

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Low jitter scheduling for Industrial Wireless Sensor and Actuator Networks

Cited by 13 publications

References 9 publications

A survey of cognitive radio handoff schemes, challenges and issues for industrial wireless sensor networks (CR-IWSN)

A survey of cognitive radio handoff schemes, challenges and issues for industrial wireless sensor networks (CR-IWSN)

Routing and Scheduling Algorithms for WirelessHARTNetworks: A Survey

Realization and measurements of industrial wireless sensor and actuator networks

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