A Non-Threshold-Based Cluster-Head Rotation Scheme for IEEE 802.15.4 Cluster-Tree Networks

Choudhury, Nikumani; Matam, Rakesh; Mukherjee, Mithun; Lloret, Jaime

doi:10.1109/glocom.2018.8647640

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…Kim and Kim [16] propose an energy-efficient reconfiguration algorithm that periodically selects CHs according to the shorter distance routes and lower energy cost whenever a threshold is reached. In contrast, the work presented in [17] builds a non-threshold cluster-head rotation scheme considering different energy resources (aggregation, transmission, residual and regular operations energy). As with [31], it also considers the depth and the load processed by each node.…”

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%

“…As with [ 31 ], it also considers the depth and the load processed by each node. The mechanism proposed by Choudhury et al [ 17 ] was compared to methods [ 18 ] based on the LEACH protocol [ 19 ], resulting in some gain in battery consumption and number of clusters, but it does not deal with the network congestion or random network formation issues.…”

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%

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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A Performance-to-Cost Analysis of IEEE 802.15.4 MAC With 802.15.4e MAC Modes

et al. 2020

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The IEEE 802.15.4 standard is one of the widely adopted networking specification for Internet of Things (IoT). It defines several physical layer (PHY) options and medium access control (MAC) sub-layer protocols for interconnection of constrained wireless devices. These devices are usually battery-powered and need to support requirements like low-power consumption and low-data rates. The standard has been revised twice to incorporate new PHY layers and improvements learned from implementations. Research in this direction has been primarily centered around improving the energy consumption of devices. Recently, to meet specific Quality-of-Service (QoS) requirements of different industrial applications, the IEEE 802.15.4e amendment was released that focuses on improving reliability, robustness and latency. In this paper, we carry out a performance-to-cost analysis of Deterministic and Synchronous Multi-channel Extension (DSME) and Time-slotted Channel Hopping (TSCH) MAC modes of IEEE 802.15.4e with 802.15.4 MAC protocol to analyze the trade-off of choosing a particular MAC mode over others. The parameters considered for performance are throughput and latency, and the cost is quantified in terms of energy. A Markov model has been developed for TSCH MAC mode to compare its energy costs with 802.15.4 MAC. Finally, we present the applicability of different MAC modes to different application scenarios.

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LIDS: Lightweight Dynamic Scheduling Technique for 6G-enabled Massive LoRa based IoT Systems

Kumbam

Choudhury

Nasralla

2022

2022 IEEE Globecom Workshops (GC Wkshps)

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A Non-Threshold-Based Cluster-Head Rotation Scheme for IEEE 802.15.4 Cluster-Tree Networks

Cited by 8 publications

References 12 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 Performance-to-Cost Analysis of IEEE 802.15.4 MAC With 802.15.4e MAC Modes

LIDS: Lightweight Dynamic Scheduling Technique for 6G-enabled Massive LoRa based IoT Systems

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