TDBS: a time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks

Koubâa, Anis; Cunha, André; Alves, Mário; Tovar, Eduardo

doi:10.1007/s11241-008-9063-4

Cited by 97 publications

(70 citation statements)

References 14 publications

(19 reference statements)

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“…Several studies have been developed to analyze end-to-end delay [15] and end-to-end scheduling that use task scheduling algorithms, like RM, EDF and MAC protocols based on TDMA [16][17][18][19]. These last works use buffers to store messages in network nodes and employ a scheduling method to deliver messages.…”

Section: Related Workmentioning

confidence: 99%

Smart Control of Multiple Evaporator Systems with Wireless Sensor and Actuator Networks

et al. 2016

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This paper describes the complete integration of a fuzzy control of multiple evaporator systems with the IEEE 802.15.4 standard, in which we study several important aspects for this kind of system, like a detailed analysis of the end-to-end real-time flows over wireless sensor and actuator networks (WSAN), a real-time kernel with an earliest deadline first (EDF) scheduler, periodic and aperiodic tasking models for the nodes, lightweight and flexible compensation-based control algorithms for WSAN that exhibit packet dropouts, an event-triggered sampling scheme and design methodologies. We address the control problem of the multi-evaporators with the presence of uncertainties, which was tackled through a wireless fuzzy control approach, showing the advantages of this concept where it can easily perform the optimization for a set of multiple evaporators controlled by the same smart controller, which should have an intelligent and flexible architecture based on multi-agent systems (MAS) that allows one to add or remove new evaporators online, without the need for reconfiguring, while maintaining temporal and functional restrictions in the system. We show clearly how we can get a greater scalability, the self-configuration of the network and the least overhead with a non-beacon or unslotted mode of the IEEE 802.15.4 protocol, as well as wireless communications and distributed architectures, which could be extremely helpful in the development process of networked control systems in large spatially-distributed plants, which involve many sensors and actuators. For this purpose, a fuzzy scheme is used to control a set of parallel evaporator air-conditioning systems, with temperature and relative humidity control as a multi-input and multi-output closed loop system; in addition, a general architecture is presented, which implements multiple control loops closed over a communication network, integrating the analysis and validation method for multi-loop control networks designed for multi-evaporator systems.

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Section: Related Workmentioning

confidence: 99%

Smart Control of Multiple Evaporator Systems with Wireless Sensor and Actuator Networks

et al. 2016

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“…The cluster-tree topology (Fig. 4-3) is a special case of the mesh network where there is a single routing path between any pair of nodes [13].…”

Section: Communication Theorymentioning

confidence: 99%

Iot Forest Environmental Factors Collection Platform Based On Zigbee

Zhang

Xugang

Geng

et al. 2014

Cybernetics and Information Technologies

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“…Koubaa et al [15] have proposed an algorithm for collision-free beacon/superframe scheduling in IEEE 802.15.4/ZigBee cluster-tree networks, using the time division approach. Note that the beacon frame scheduling problem comes back to a superframe scheduling problem, since each superframe starts with a beacon frame.…”

Section: A Related Workmentioning

confidence: 99%

Energy Efficient Scheduling for Cluster-Tree Wireless Sensor Networks With Time-Bounded Data Flows: Application to IEEE 802.15.4/ZigBee

Hanzálek

Jurcik

2010

IEEE Trans. Ind. Inf.

108

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Cluster scheduling and collision avoidance are crucial issues in large-scale cluster-tree Wireless Sensor Networks (WSNs). The paper presents a methodology that provides a Time Division Cluster Scheduling (TDCS) mechanism based on the cyclic extension of RCPS/TC (Resource Constrained Project Scheduling with Temporal Constraints) problem for a cluster-tree WSN, assuming bounded communication errors. The objective is to meet all end-to-end deadlines of a predefined set of time-bounded data flows while minimizing the energy consumption of the nodes by setting the TDCS period as long as possible. Sinceeach cluster is active only once during the period, the end-to-end delay of a given flow may span over several periods when there are the flows with opposite direction. The scheduling tool enables system designers to efficiently configure all required parameters of the IEEE 802.15.4/ZigBee beaconenabled cluster-tree WSNs in the network design time. The performance evaluation of thescheduling tool shows that the problems with dozens of nodes can be solved while using optimal solvers. Cluster scheduling and collision avoidance are crucial issues in large-scale cluster-tree Wireless Sensor Networks (WSNs). The paper presents a methodology that provides a Time Division Cluster Scheduling (TDCS) mechanism based on the cyclic extension of RCPS/TC (Resource Constrained Project Scheduling with Temporal Constraints) problem for a cluster-tree WSN, assuming bounded communication errors. The objective is to meet all end-to-end deadlines of a predefined set of time-bounded data flows while minimizing the energy consumption of the nodes by setting the TDCS period as long as possible. Since each cluster is active only once during the period, the end-to-end delay of a given flow may span over several periods when there are the flows with opposite direction. The scheduling tool enables system designers to efficiently configure all required parameters of the IEEE 802.15.4/ZigBee beacon-enabled cluster-tree WSNs in the network design time. The performance evaluation of the scheduling tool shows that the problems with dozens of nodes can be solved while using optimal solvers.

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TDBS: a time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks

Cited by 97 publications

References 14 publications

Smart Control of Multiple Evaporator Systems with Wireless Sensor and Actuator Networks

Smart Control of Multiple Evaporator Systems with Wireless Sensor and Actuator Networks

Iot Forest Environmental Factors Collection Platform Based On Zigbee

Energy Efficient Scheduling for Cluster-Tree Wireless Sensor Networks With Time-Bounded Data Flows: Application to IEEE 802.15.4/ZigBee

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