An Efficient Mechanism to Improve Convergecast Traffic in Cluster-tree Wireless Sensor Networks Based on IEEE 802.15.4

Lino, Miguel; Vasconcelos, Vítor; Ian, Alvaro; Leão, Érico; Soares, André; Montez, Carlos

doi:10.1109/iecon.2019.8927736

Cited by 2 publications

(3 citation statements)

References 22 publications

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“…Among them, the proportional Superframe Duration Allocation based on the message Load (Load-SDA) scheme defines the superframe durations and beacon intervals for clusters based on the data load generated by child nodes. Regarding load-based congestion control, the work proposed by Lino et al [23] combines the Load-SDA scheme with a guided network formation algorithm similar to [24], providing reduced end-to-end communication delays and homogeneous branches for convergecast traffic. Also about convergence systems, Yuan et al [25] propose an algorithm to control the monitoring load received by the base station, which can be a mobile node, aiming to obtain Quality of Service (QoS) and to save battery energy.…”

Section: Related Workmentioning

confidence: 99%

“…This section summarises the most relevant research works, addressing different issues: cluster scheduling [ 14 , 15 ], configuration of communication structures [ 10 , 11 , 16 , 17 , 18 , 19 ], data-load-based congestion control [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ], and environmental monitoring network solutions for event-driven applications [ 28 , 29 , 30 ].…”

Section: Related Workmentioning

confidence: 99%

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Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

Lino

Leão

Soares

et al. 2020

Sensors

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The development of flexible and efficient communication mechanisms is of paramount importance within the context of the Internet of Things (IoT) paradigm. IoT has been used for industrial, commercial, and residential applications, and the IEEE 802.15.4/ZigBee standard is one of the most suitable protocols for this purpose. This protocol is now frequently used to implement large-scale Wireless Sensor Networks (WSNs). In industrial settings, it is becoming increasingly common to deploy cluster-tree WSNs, a complex IEEE 802.15.4/ZigBee-based peer-to-peer network topology, to monitor and control critical processes such as those related to oil or gas, mining, or certain specific chemicals. The remote monitoring of critical events for hazards or disaster detection in large areas is a challenging issue, since the occurrence of events in the monitored environment may severely stress the regular operation of the network. This paper proposes the Dynamic REconfiguration mechanism of cluster-Tree WSNs (DyRET), which is able to dynamically reconfigure large-scale IEEE 802.15.4 cluster-tree WSNs, and to assign communication resources to the overloaded branches of the tree based on the accumulated network load generated by each of the sensor nodes. A complete simulation assessment demonstrates the proposed mechanism’s efficiency, and the results show that it can guarantee the required quality of service level for the dynamic reconfiguration of cluster-tree networks.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

Lino

Leão

Soares

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…At the same time, the congestion within the network remains high as well. To resolve this issue, and to maximize the converge cast traffic in large scale WSNs, an efficient mechanism is proposed in [35]. The proposed mechanism is the combination of the data generation mechanism of the individual nodes and efficient allocation schemes of the active periods of the sensor nodes.…”

Section: State Of Artmentioning

confidence: 99%

A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN

Tarasia

Swain

Roy

et al. 2020

J. commun. softw. syst. (Online)

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The wireless sensor network (WSN) has been extensively used to monitor and control the natural ecosystem on a large scale like air quality, natural life, etc. Low battery power,low storage, and limited processing ability are the most critical areas of concern in WSN. To reduce energy utilization, the sensor nodes in WSN work in a cyclic process between active and sleep mode. A certain number of nodes are chosen active and they are responsible for sensing as well as data transmission and rest of the nodes are gone to sleep. In order to lengthen the lifetime of network, in this paper we proposed a level wise periodic tree construction algorithm that uses a specific set of nodes to participate in tree construction, instead of all the nodes, to minimize the energy consumption. In this proposed approach, the main idea is to put the nodes, which are currently active and have already spent a significant amount of energy, to sleep mode, while giving chances to the leaf nodes, which has comparatively spent less energy, to become an active node and maintain connectivity. The performance of the proposed protocol is evaluated using the Castalia simulator. The simulation results show that the proposed level-wise periodic tree construction approach increases the durability of the network in conjunction with the non-level approach.

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An Efficient Mechanism to Improve Convergecast Traffic in Cluster-tree Wireless Sensor Networks Based on IEEE 802.15.4

Cited by 2 publications

References 22 publications

Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN

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