Narrowband IoT: A Greener Solution for Large Scale Deployments

Routray, Sudhir K.; Mohanty, Sasmita

doi:10.4108/eai.10-3-2022.173607

Cited by 3 publications

(4 citation statements)

References 15 publications

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“…The review also highlights fundamental principles governing sleep scheduling. 3,4 Dynamic sleep scheduling mechanisms, as outlined in Al-Janabi and Al-Raweshidy, 5 depend on traffic patterns and event triggers to ensure optimal activity periods for IoT devices and induce sleep mode during inactivity. This adaptability plays a crucial role in curbing excessive power consumption, especially during device downtime.…”

Section: Literature Survey: Sleep Scheduling For Energy Savingsmentioning

confidence: 99%

“…Sleep scheduling 2 entails controlling the transitions between active and sleep modes based on predefined rules or adaptive algorithms, with the primary goal of minimizing the time devices spend in an active state while ensuring responsiveness when needed. The review also highlights fundamental principles governing sleep scheduling 3,4 …”

Section: Literature Survey: Sleep Scheduling For Energy Savingsmentioning

confidence: 99%

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Enhancing energy‐efficient sleep scheduling for Narrowband Internet of Things devices in coordinated 5G networks within smart environments

Hema,

Raj,

2024

Int J Communication

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SummaryThis research project takes on a crucial role in the quickly changing field of integrated 5G networks inside smart environments by concentrating on the creation of an extremely effective sleep scheduling system designed especially for Narrowband Internet of Things (NB‐IoT) devices. This work introduces a unique method for precisely controlling the nodes' sleep schedules through the use of convolutional neural network (CNN) architecture, which optimizes both energy usage and operating patterns. The principal goal still stands to guarantee the extended lifetime of operation and dependability of NB‐IoT devices in the larger framework of intelligent ecosystems driven by synchronized 5G networks. To achieve its objectives, the research explores a number of complex domains and employs cutting‐edge technologies and techniques, such as CNN‐based pattern recognition. This method's real‐time component is essential since it allows for prompt modifications to sleep schedules in order to optimize energy savings. Further boosting the devices' effectiveness and flexibility is continuous contact with a central server, which guarantees that the devices are updated with the most recent data and instructions. Essentially, the main objective of this study is to greatly increase the energy economy and operational lifetime of NB‐IoT devices, which will allow for stable and long‐lasting IoT deployments in the context of 5G networks in intelligent settings. This advancement is not only a boon for businesses and industries leveraging IoT technology but also a substantial step toward building smarter, more energy‐efficient, and resilient smart ecosystems that benefit society as a whole.

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Section: Literature Survey: Sleep Scheduling For Energy Savingsmentioning

confidence: 99%

Section: Literature Survey: Sleep Scheduling For Energy Savingsmentioning

confidence: 99%

Enhancing energy‐efficient sleep scheduling for Narrowband Internet of Things devices in coordinated 5G networks within smart environments

Hema,

Raj,

2024

Int J Communication

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“…The D-LAR protocol for VANETs is introduced in the paper "Performance Evaluation of VANET using Directional Location Aided Routing (D-LAR) Protocol with Sleep Scheduling Algorithm," by Chandramohan et al [1]. By use of directed communication and accurate position determination, the protocol maximizes both security and energy efficiency.…”

Section: Literature Surveymentioning

confidence: 99%

“…The emergence of the Internet of Things (IoT) has significantly transformed a number of facets of our life by providing intelligent automation and seamless connection across a wide range of industries, including transportation, healthcare, agriculture, and smart cities. Narrowband IoT (NB-IoT) [1] has become a well-known communication standard in the global IoT environment, specifically tailored to meet the demands of low-power, wide-area networks (LPWANs). For a variety of IoT applications, NB-IoT is the recommended option because to its many benefits, which include cost-effective deployment, efficient power usage, and increased coverage [2].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Energy-Conserving Sleep Strategies for NB-IoT Devices in Coordinated 5G Networks within Smart Environments

Jenitha,

Hema,

Regilan

2024

Preprint

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An increased interest in energy-efficient communication protocols to extend battery life and improve network scalability has resulted from the fast growth of Internet of Things (IoT) devices, especially Narrowband IoT (NB-IoT) devices. In this study, we suggest a unique method of sleep scheduling using machine learning techniques for NB-IoT networks. Our method seeks to optimize energy usage while maintaining responsive connection by dynamically adjusting the sleep patterns of NB-IoT devices depending on anticipated network activity levels. Using machine learning algorithms trained on historical data gathered from NB-IoT devices and base stations, the suggested process entails developing a prediction model. In order to produce real-time estimates of future network demand, the model analyzes a variety of input parameters, including as the surrounding environment, traffic patterns, and the closeness of the device to the base station. The sleep scheduling mechanism, which coordinates the sleep-wake cycles of NB-IoT devices to coincide with expected periods of low activity, is informed by these forecasts. We illustrate the efficacy of our machine learning-based sleep scheduling technique in attaining noteworthy energy savings while maintaining network performance, utilizing comprehensive simulations and real-world tests. We are able to strike a compromise between energy economy and responsiveness by cleverly scheduling sleep, which keeps NB-IoT devices operational for their monitoring and control functions while preserving battery life. Our study addresses the increasing need for sustainable IoT solutions in smart city settings and beyond by advancing energy-efficient communication protocols for NB-IoT networks. The suggested method opens the door for more effective and durable IoT ecosystems by providing useful advice and insights for applying machine learning-based sleep scheduling algorithms in actual IoT installations.

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Smart Classroom-Based Innovative Solution Toward Uninterrupted Education

Routray

Mohanty

2022

International Journal of Virtual and Augmented Reality

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Pandemics create a lot of disruptions in the society and we are directly affected. Covid-19 pandemic has changed a lot of aspects of human lives since the beginning of 2020. Several countries have gone for complete lockdown for several months to protect their citizens. Other countries too have restricted many common activities to some extent. In the majority of the countries, traditional classes in the schools, colleges and universities were not possible. Smart classrooms have emerged as a main alternative for the traditional classes. These smart classrooms are very much different from the video broadcasting. Several immersive and interactive technologies have been proposed for smart classrooms. In this article, we provide the basic principles of smart classrooms, their enabling technologies, and their impact on the education sector. We also provide specific pandemic centric initiatives for effective education in a virtual environment and their effects on the students, teachers and other stakeholders.

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Narrowband IoT: A Greener Solution for Large Scale Deployments

Cited by 3 publications

References 15 publications

Enhancing energy‐efficient sleep scheduling for Narrowband Internet of Things devices in coordinated 5G networks within smart environments

Enhancing energy‐efficient sleep scheduling for Narrowband Internet of Things devices in coordinated 5G networks within smart environments

Optimizing Energy-Conserving Sleep Strategies for NB-IoT Devices in Coordinated 5G Networks within Smart Environments

Smart Classroom-Based Innovative Solution Toward Uninterrupted Education

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