Extending Network Lifetime of Wireless Sensor Networks

Amiri, Ali

doi:10.5121/ijcnc.2015.7201

Cited by 5 publications

(6 citation statements)

References 30 publications

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“…Additionally, the CHs can be assigned different tasks, such as data aggregation, FM, coordinating network reconfiguration or duty cycling, and network maintenance, depending on their resource capacities and network requirements. This case study is based on static SNs and the distributed network construction approach (see references in [9,12,33,[126][127][128][129][130][131][132]), where the SNs locally manage the entire clustering process, and a CH is elected without the entire network's information.…”

Section: Characterization Of Canon Clustering-based Routing Protocols...mentioning

confidence: 99%

“…3. Multihop routing, which is a requirement to attain the desired energy savings and network adaptability in large-scale CA-IoT networks, is asserted to be more energyefficient only in simulation experiments [33,120,121,[123][124][125][128][129][130] but not in realworld implementation [22][23][24]. This imbalance is due to a lack of a comprehensive and reliable theoretical multihop routing framework that is based on the total communication costs of multihop routing.…”

Section: Open Issues and Future Work: Cluster-based Wsn-specific Agri...mentioning

confidence: 99%

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A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

Effah

Thiaré

Wyglinski

2023

IoT

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This paper presents an in-depth contextualized tutorial on Agricultural IoT (Agri-IoT), covering the fundamental concepts, assessment of routing architectures and protocols, and performance optimization techniques via a systematic survey and synthesis of the related literature. The negative impacts of climate change and the increasing global population on food security and unemployment threats have motivated the adoption of the wireless sensor network (WSN)-based Agri-IoT as an indispensable underlying technology in precision agriculture and greenhouses to improve food production capacities and quality. However, most related Agri-IoT testbed solutions have failed to achieve their performance expectations due to the lack of an in-depth and contextualized reference tutorial that provides a holistic overview of communication technologies, routing architectures, and performance optimization modalities based on users’ expectations. Thus, although IoT applications are founded on a common idea, each use case (e.g., Agri-IoT) varies based on the specific performance and user expectations as well as technological, architectural, and deployment requirements. Likewise, the agricultural setting is a unique and hostile area where conventional IoT technologies do not apply, hence the need for this tutorial. Consequently, this tutorial addresses these via the following contributions: (1) a systematic overview of the fundamental concepts, technologies, and architectural standards of WSN-based Agri-IoT, (2) an evaluation of the technical design requirements of a robust, location-independent, and affordable Agri-IoT, (3) a comprehensive survey of the benchmarking fault-tolerance techniques, communication standards, routing and medium access control (MAC) protocols, and WSN-based Agri-IoT testbed solutions, and (4) an in-depth case study on how to design a self-healing, energy-efficient, affordable, adaptive, stable, autonomous, and cluster-based WSN-specific Agri-IoT from a proposed taxonomy of multi-objective optimization (MOO) metrics that can guarantee an optimized network performance. Furthermore, this tutorial established new taxonomies of faults, architectural layers, and MOO metrics for cluster-based Agri-IoT (CA-IoT) networks and a three-tier objective framework with remedial measures for designing an efficient associated supervisory protocol for cluster-based Agri-IoT networks.

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Section: Characterization Of Canon Clustering-based Routing Protocols...mentioning

confidence: 99%

Section: Open Issues and Future Work: Cluster-based Wsn-specific Agri...mentioning

confidence: 99%

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

Effah

Thiaré

Wyglinski

2023

IoT

View full text Add to dashboard Cite

show abstract

“…Additionally, the CHs can be assigned different tasks, such as data aggregation, FM, coordinating network reconfiguration or duty-cycling, and network maintenance, depending on their resource capacities and requirements. This case study is based on static SNs and the distributed network construction approach (see references in [9,12,34,[122][123][124][125][126][127][128]), where the SNs locally manage the entire clustering process, and a CH is elected without the entire network's information.…”

Section: Characterization Of Canon Clustering-based Routing Protocols...mentioning

confidence: 99%

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

Effah¹,

Thiaré²,

Wyglinski³

2023

Preprint

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This paper presents an in-depth contextualized tutorial on Agricultural IoT (Agri-IoT), covering the fundamental concepts, assessment of routing architectures and protocols, and performance optimization techniques via systematic survey and synthesis of related literature. The negative impacts of climate change and the increasing global population on food security and unemployment threats have motivated the adoption of the wireless sensor network (WSN)-based Agri-IoT as an indispensable underlying technology in precision agriculture and greenhouses to improve food production capacities and quality. However, most related Agri-IoT testbed solutions have failed to achieve their performance expectations due to the lack of an in-depth and contextualized reference tutorial that provides a holistic overview of communication technologies, routing architectures, and performance optimization modalities based on users’ expectations. Thus, although IoT applications are founded on a common idea, each use case (e.g., Agri-IoT) varies based on specific performance and users expectations as well as its technological, architectural, and deployment requirements. Likewise, the agricultural setting is a unique and hostile area where conventional IoT technologies do not apply, hence the need for this tutorial. Consequently, this tutorial addresses these via the following contributions: (1) a systematic overview of the fundamental concepts, technologies, and architectural standards of WSN-based Agri-IoT, (2) an evaluation of the technical design requirements of a robust, location-independent, and affordable Agri-IoT, (3) a comprehensive survey of the benchmarking fault tolerance techniques, communication standards, routing and medium access control (MAC) protocols, and WSN-based Agri-IoT testbed solutions, and (4) an in-depth case study on how to design a self-healing, energy-efficient, affordable, adaptive, stable, autonomous, and cluster-based WSN-specific Agri-IoT from a proposed taxonomy of multi-objective optimization (MOO) metrics that can guarantee an optimized network performance. Furthermore, this tutorial established new taxonomies of faults, architectural layers, and MOO metrics for cluster-based Agri-IoT (CA-IoT) networks and a 3-tier objective framework with remedial measures for designing an efficient associated supervisory protocol for cluster-based Agri-IoT networks.

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“…Trigeorgis et al (2016) revealed that abusive management referred to the specific performance of leadership practices towards their subordinates in work. Amiri (2015) pointed out that abusive management in the working environment included active abuse or deception. Michel et al (2016) believed that abusive management aimed to control employees through acts of intimidation.…”

Section: The Relationship Between Learning Style and Employees' Profe...mentioning

confidence: 99%

Knowledge Management in Relationship Among Abusive Management, Self-Efficacy, and Corporate Performance Under Artificial Intelligence

Shang

Liu

et al. 2022

Journal of Global Information Management

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The purpose is to explore the application potential of HCI (Human-Computer Interaction) technology under AI (Artificial Intelligence) in enterprise performance evaluation and the influence of abusive management and self-efficacy on enterprise performance. Guided by psychological theory, employees from a listed real estate enterprise are selected, and the research themes of abusive management, self-efficacy, and employee performance are assumed. Afterward, the employee job satisfaction and performance evaluation model and system interface based on deep learning BPNN (BackPropagation Neural Network), SVM (Support Vector Machine) regression, and HCI are innovatively proposed. The results show that the HCI interface can be accessed accurately according to the employee's verbal instructions. BPNN model has reached the best performance at the iteration of 70times, and all indexes have reached the expected employee satisfaction.

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Extending Network Lifetime of Wireless Sensor Networks

Abstract: ABSTRACT

Cited by 5 publications

References 30 publications

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

Knowledge Management in Relationship Among Abusive Management, Self-Efficacy, and Corporate Performance Under Artificial Intelligence

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