SAS-TDMA: a source aware scheduling algorithm for real-time communication in industrial wireless sensor networks

Shen, Wei; Zhang, Tingting; Gidlund, Mikael; Dobslaw, Felix

doi:10.1007/s11276-012-0524-2

Cited by 40 publications

(21 citation statements)

References 18 publications

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“…Authors have also evaluated upper bounds for these schedules as a function of total packets generated in the network. In [13,14], authors further improved the results in [12] and showed how their work outperforms [12]. In [13], authors considered harsh dynamic environment but failed to offer guaranteed data reliability.…”

Section: Literature Reviewmentioning

confidence: 98%

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Deterministic Scheduling for Energy Efficient and Reliable Communication in Heterogeneous Sensing Environments in Industrial Wireless Sensor Networks

Raza

Minh

Aslam

et al. 2017

EAI Endorsed Transactions on Energy Web

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The present-day industries incorporate many applications, and complex processes, hence, a large number of sensors with dissimilar process deadlines and sensor update frequencies will be in place. This paper presents a scheduling algorithm, which takes into account the varying deadlines of the sensors connected to the cluster-head, and formulates a static schedule for Time Division Multiple Access (TDMA) based communication. The scheme uses IEEE802.15.4e superframe as a baseline and proposes a new superframe structure. For evaluation purposes the update frequencies of different industrial processes are considered. The scheduling algorithm is evaluated under varying network loads by increasing the number of nodes affiliated to a cluster-head. The static schedule generated by the scheduling algorithm offers reduced energy consumption, improved reliability, efficient network load management and improved information to control bits ratio.

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Section: Literature Reviewmentioning

confidence: 98%

“…In [13,14], authors further improved the results in [12] and showed how their work outperforms [12]. In [13], authors considered harsh dynamic environment but failed to offer guaranteed data reliability. In [14], authors improve reliability in harsh control environments and form hypergraph to increase scheduling flexibility.…”

Section: Literature Reviewmentioning

confidence: 98%

Deterministic Scheduling for Energy Efficient and Reliable Communication in Heterogeneous Sensing Environments in Industrial Wireless Sensor Networks

Raza

Minh

Aslam

et al. 2017

EAI Endorsed Transactions on Energy Web

View full text Add to dashboard Cite

show abstract

“…This time-based scheduling together with multiple frequencies guarantees the collision-free nature of I-EDF. Another scheduling algorithm, Source Aware Scheduling (SAS-TDMA) [30], was proposed to reduce overhead through information under cross-layered architecture. It includes the priority queuing model at the node based on average waiting time.…”

Section: Mac and Schedulingmentioning

confidence: 99%

A Survey on Real-Time Communications in Wireless Sensor Networks

Kim

Park

Kim

et al. 2017

Wireless Communications and Mobile Computing

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Generally, various traffic requirements in wireless sensor network are mostly dependent on specific application types, that is, eventdriven, continuous, and query-driven types. In these applications, real-time delivery is one of the important research challenges. However, due to harsh networking environment around a node, many researchers usually take different approach from conventional networks. In order to discuss and analyze the advantage or disadvantage of these approaches, some comprehensive survey literatures were published; however they are either out of date or compiled for communication protocols on single layer. Based on this deficiency, in this paper, we present the up-to-date research approaches and discuss the important features related to real-time communications in wireless sensor networks. As for grouping, we categorize the approaches into hard, soft, and firm real-time model. Furthermore, in all these categories, research has been focused on MAC and scheduling and routing according to research area or objective in second level. Finally, the article also suggests potential directions for future research in the field.

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“…Based on the current existing standards and papers, such as [13][14][15][16], the approaches for reliable and real-time communication in industrial wireless mesh networks are summarized with our comments as follows. (1) Three types of routing graphs are defined: broadcasting graph from gateway downward to all devices for common configuration and network control, uplink graph for data collection from all devices to gateway, and downlink graph from the gateway to each individual device for actuator control and other commands.…”

Section: Routing and Schedulingmentioning

confidence: 99%

Challenges: From Standards to Implementation for Industrial Wireless Sensor Networks

Wang

Yang

et al. 2016

International Journal of Distributed Sensor Networks

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Despite the fact that a number of research efforts in the area of Industrial Wireless Sensor Networks (IWSNs) exist, there is a lack of really practical IWSN implementations, deployments, and in-field applications. This paper presents the design and implementation of an IWSN for welder machine systems, called WirelessCAN which is based on WirelessHART to replace wired CAN fieldbus. Although the implementation and challenges are application-specific, we believe that the problems we encountered will be faced by many IWSN designers. In this paper, selected challenges exposed in our implementation and the potential solutions are introduced, which have not been addressed previously. Specifically, communication resource constraint, real-time rescheduling, integrated knowledge for IWSN applications, centralized control architecture, reliable and immediate message delivery for human and equipment safety, and differential QoS requirements are discussed in detail and in depth. The goal of this paper is to make the design and implementation of IWSNs more efficient and applicable.

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SAS-TDMA: a source aware scheduling algorithm for real-time communication in industrial wireless sensor networks

Cited by 40 publications

References 18 publications

Deterministic Scheduling for Energy Efficient and Reliable Communication in Heterogeneous Sensing Environments in Industrial Wireless Sensor Networks

Deterministic Scheduling for Energy Efficient and Reliable Communication in Heterogeneous Sensing Environments in Industrial Wireless Sensor Networks

A Survey on Real-Time Communications in Wireless Sensor Networks

Challenges: From Standards to Implementation for Industrial Wireless Sensor Networks

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