An Energy Efficient Schedule for IEEE 802.15.4/ZigBee Cluster Tree WSN with Multiple Collision Domains and Period Crossing Constraint

Ahmad, Aasem; Hanzálek, Zdeněk

doi:10.1109/tii.2017.2725907

Cited by 22 publications

(17 citation statements)

References 17 publications

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“…Hui Lin [28] evolves this model by adding a new term with which a node with more residual energy has more chance to be selected as CH. In [29], the scheduling problem in cluster-tree topology WSNs is modeled as ILP. The goal of the scheduling is to grant the delay requirement of time-constrained data flow.Then, the authors use a graph theory based heuristic algorithm to address the problem.…”

Section: Optimization Modeling/solutionmentioning

confidence: 99%

Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks

Chen¹,

Lin²,

Wang³

et al. 2019

KSII TIIS

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Saving energy is a big challenge for Wireless Sensor Networks (WSNs), which becomes even more critical in large-scale WSNs. Most energy waste is communication related, such as collision, overhearing and idle listening, so the schedule-based access which can avoid these wastes is preferred for WSNs. On the other hand, clustering technique is considered as the most promising solution for topology management in WSNs. Hence, providing interference-free clustering is vital for WSNs, especially for large-scale WSNs. However, schedule management in cluster-based networks is never a trivial work, since it requires inter-cluster cooperation. In this paper, we propose a clustering method, called Interference-Free Clustering Protocol (IFCP), to partition a WSN into interference-free clusters, making timeslot management much easier to achieve. Moreover, we model the clustering problem as a multi-objective optimization issue and use non-dominated sorting genetic algorithm II to solve it. Our proposal is finally compared with two adaptive clustering methods, HEED-CSMA and HEED-BMA, demonstrating that it achieves the good performance in terms of delay, packet delivery ratio, and energy consumption.

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Section: Optimization Modeling/solutionmentioning

confidence: 99%

Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks

Chen¹,

Lin²,

Wang³

et al. 2019

KSII TIIS

View full text Add to dashboard Cite

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“…Let us now present a model of data-flows inspired by the ZigBee norm, introducing grouping constraints. This work is issued from [23,1]. We consider a tree T , whose nodes represent the clusters and whose edges represent the logical links between them.…”

Section: Energy Saving or Other Resource Dependent Constraintsmentioning

confidence: 99%

“…We assume here that for each flow f the number of periods crossed by f from a source until its delivery should be less than a given integer p f . The experiments with a scheduling tool [1], which enables system designers to configure all the required parameters of the IEEE 802.15.4/ZigBee cluster-tree WSNs, illustrate the efficiency of the model. Moreover, this model induces for each flow a representation of the constraints induced by the data flow by a uniform graph:…”

Section: Energy Saving or Other Resource Dependent Constraintsmentioning

confidence: 99%

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Cyclic Data Flows in Computers and Embedded Systems

Hanen

Munier-Kordon

2019

Modelling and Performance Analysis of Cyclic Systems

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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…Wireless communications are the most used in modern sensor networks because, in a large scale network, it becomes difficult or impossible to link nodes by wired channels. In Wireless Sensor Network ( wsn ), nodes can have different communication technologies (eg, ZigBee, Bluetooth, rfid ,). Each technology has specific characteristics such as throughput and range.…”

Section: Introductionmentioning

confidence: 99%

Model driven framework to enhance sensor network design cycle

Kifouche

Hamouche²,

Kocik³

et al. 2019

Trans Emerging Tel Tech

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Recent advances in sensor network provide more and more equipment with a large amount of sensors and actuators. However, their adoptions in modern life face several challenges. First, sensor network design is complex and requires several steps including network sizing, hardware and software development, deployment, and data exploitation. Often, each step is managed by a particular tool. These tools are rarely connected to each other. Therefore, descriptions are required in each used tool. These multiple descriptions are costly in terms of development time and can lead to design errors. In order to address these issues, we propose a new model-driven framework named Modesene to efficiently design a sensor network for different kind of application. Modesene is designed to ensure four main process including multifacets modeling, network simulations, deployment, and data exploitation. The proposed framework supports sensor network tools by providing bridges with these tools. Therefore, one description in Modesene can be automatically transformed in each used tool. The framework can perform simulations and code generation. It promotes a data-driven approach; in fact, data obtained by simulations is used to drive design choices. We validate our framework through use case of smart building with two possible solutions. Based on Omnet++ simulator, Modesene can assess node lifetime, costs, and packets loss. Thereafter, the obtained results drive the choice of the suitable solution. Then, the code generator provides source codes for sensor nodes, gateway nodes, and for data exploitation. Compared to existing frameworks, Modesene deals with all design steps. Abbreviations: IoT, internet of things; WSN, Wireless sensor network Trans Emerging Tel Tech. 2019;30:e3560. wileyonlinelibrary.com/journal/ett communication technologies), and sink node (to collect and process data). Nodes can use different communication media to transmit and receive data (eg, wired channel, wireless channel, optical channel). Wireless communications are the most used in modern sensor networks because, in a large scale network, it becomes difficult or impossible to link nodes by wired channels. In Wireless Sensor Network (wsn), nodes can have different communication technologies (eg, ZigBee, 4 Bluetooth, 5 rfid, 6,7 ). Each technology has specific characteristics such as throughput and range. Sensor network development involves different steps including network sizing, software and hardware development, analyses and simulations, physical deployment, and data exploitation. These steps can be grouped in sensor network life cycle terminology. The motivations of our work are related to the fact that sensor network design requires to deal with many domains, involving many actors such as hardware engineer, software developer, and network expert. Data collected from sensor network may be also used by nontechnical actor, such as doctors in health domain. Therefore, many domain specific tools are used through the life cycle to help actors involved in each step. T...

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An Energy Efficient Schedule for IEEE 802.15.4/ZigBee Cluster Tree WSN with Multiple Collision Domains and Period Crossing Constraint

Cited by 22 publications

References 17 publications

Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks

Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks

Cyclic Data Flows in Computers and Embedded Systems

Model driven framework to enhance sensor network design cycle

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