An allocation scheme for IEEE 802.15.4-ZigBee cluster-tree networks

Leão, Érico; Vasques, Francisco; Portugal, Paulo; Moraes, Ricardo; Montez, Carlos

doi:10.1109/iecon.2016.7793983

Cited by 4 publications

(8 citation statements)

References 17 publications

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“…In this paper, we define a holistic approach to deal with the problem of how to allocate superframe durations to multiple cluster-heads in a wide-scale WSN. This paper extends the work previously presented in [ 19 ], where it was defined a simple protocol constraint for cluster-tree networks and proposed a superframe allocation scheme based on the traffic load generated by sensor nodes. We define a set of boundary equations, that act as upper-bounds for the protocol operating behaviour of IEEE 802.15.4 cluster-tree networks.…”

Section: Introductionsupporting

confidence: 65%

Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks

Leão

Montez

Moraes

et al. 2017

Sensors

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Abstract:The use of Wireless Sensor Network (WSN) technologies is an attractive option to support wide-scale monitoring applications, such as the ones that can be found in precision agriculture, environmental monitoring and industrial automation. The IEEE 802.15.4/ZigBee cluster-tree topology is a suitable topology to build wide-scale WSNs. Despite some of its known advantages, including timing synchronisation and duty-cycle operation, cluster-tree networks may suffer from severe network congestion problems due to the convergecast pattern of its communication traffic. Therefore, the careful adjustment of transmission opportunities (superframe durations) allocated to the cluster-heads is an important research issue. This paper proposes a set of proportional Superframe Duration Allocation (SDA) schemes, based on well-defined protocol and timing models, and on the message load imposed by child nodes (Load-SDA scheme), or by number of descendant nodes (Nodes-SDA scheme) of each cluster-head. The underlying reasoning is to adequately allocate transmission opportunities (superframe durations) and parametrize buffer sizes, in order to improve the network throughput and avoid typical problems, such as: network congestion, high end-to-end communication delays and discarded messages due to buffer overflows. Simulation assessments show how proposed allocation schemes may clearly improve the operation of wide-scale cluster-tree networks.

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Section: Introductionsupporting

confidence: 65%

Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks

Leão

Montez

Moraes

et al. 2017

Sensors

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“…We have shown that adequate SD allocation is a crucial issue for several WSN applications. 24,26 In order to illustrate this functionality and for the sake of simplicity, we presented some obtained results through the experiments just for the random environment. Table 12 shows the obtained results by applying a static superframe allocation scheme.…”

Section: Sd Allocationmentioning

confidence: 99%

“…For example, we have used CT-SIM to implement the Alternative-Route Definition (ARounD) scheme 21 and the Proportional Superframe Duration Allocation schemes. 24 …”

Section: Communication Phasementioning

confidence: 99%

“…The last step of the FP is the superframe duration allocation scheme. In a recent work, 24 we have shown that IEEE 802.15.4/ ZigBee standards do not define the adequate mechanisms to allocate SDs for clusters in cluster-tree networks. Therefore, we have conducted a series of experiments showing that the static allocation of SDs is not suitable for cluster-tree networks, considering their application requirements and the load imposed by supported message streams.…”

Section: Formation Phasementioning

confidence: 99%

“…For further details about the proportional superframe duration allocation scheme, the reader is referred to Lea˜o et al 24 New versions for the superframe duration allocation schemes can be added to the model by implementing new beaconSchedule functions. Table 6 shows the main parameters used in the superframe allocation scheme step.…”

Section: Formation Phasementioning

confidence: 99%

See 2 more Smart Citations

CT-SIM: A simulation model for wide-scale cluster-tree networks based on the IEEE 802.15.4 and ZigBee standards

Leão

Moraes

Montez

et al. 2017

International Journal of Distributed Sensor Networks

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The IEEE 802.15.4/ZigBee set of standards is one of the most used wireless sensor network technologies. This set of standards supports cluster-tree networks, which are suitable topologies for wide-scale deployments. The design of wide-scale wireless sensor networks is a challenging task because it is difficult to test, analyse and validate new designs in real scenarios. Thus, simulation becomes a convenient and feasible method for its assessment before deployment. Within this context, we provide a set of simulation models for IEEE 802.15.4/ZigBee-based networks, which are able to deal with wide-scale cluster-tree wireless sensor networks and to address their major challenges. The provided simulation models implement important mechanisms for the assessment of wide-scale cluster-tree networks and associated data communication mechanisms, enabling an easier design and test of wide-scale wireless sensor network implementations.

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A Hybrid Beacon Scheduling Scheme to Allow the Periodic Reconfiguration of Large-scale Cluster-tree WSNs

Leão

Vasconcelos

Portugal

et al. 2018

2018 IEEE 16th International Conference on Industrial Informatics (INDIN)

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An allocation scheme for IEEE 802.15.4-ZigBee cluster-tree networks

Cited by 4 publications

References 17 publications

Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks

Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks

CT-SIM: A simulation model for wide-scale cluster-tree networks based on the IEEE 802.15.4 and ZigBee standards

A Hybrid Beacon Scheduling Scheme to Allow the Periodic Reconfiguration of Large-scale Cluster-tree WSNs

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