Adaptive Small Cell position algorithm (ASPA) for green farming using NB-IoT

Popli, Sakshi; Jha, Rakesh Kumar; Jain, Sanjeev

doi:10.1016/j.jnca.2020.102841

Cited by 14 publications

(7 citation statements)

References 24 publications

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“…It uses enhanced mechanisms of energy saving to improve battery life and to support small data transfer. To facilitate the use of NB-IoT networks, network procedures are designed to simplify access complexity [ 34 ].…”

Section: Network and Protocols Of Communicationmentioning

confidence: 99%

Validation of Embedded State Estimator Modules for Decentralized Monitoring of Power Distribution Systems Using IoT Components

Gonzaga

Márquez-Sánchez

Santos

et al. 2022

Sensors

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Recent theoretical studies demonstrate the advantages of using decentralized architectures over traditional centralized architectures for real-time Power Distribution Systems (PDSs) operation. These advantages include the reduction of the amount of data to be transmitted and processed when performing state estimation in PDSs. The main contribution of this paper is to provide lab validation of the advantages and feasibility of decentralized monitoring of PDSs. Therefore, this paper presents an advanced trial emulating realistic conditions and hardware setup. More specifically, the paper proposes: (i) The laboratory development and implementation of an Advanced Measurement Infrastructure (AMI) prototype to enable the simulation of a smart grid. To emulate the information traffic between smart meters and distribution operation centers, communication modules, that enable the use of wireless networks for sending messages in real-time, are used, bridging concepts from both IoT and Edge Computing. (ii) The laboratory development and implementation of a decentralized architecture based on Embedded State Estimator Modules (ESEMs) are carried out. ESEMs manage information from smart meters at lower voltage networks, performing real-time state estimation in PDSs. Simulations performed on a real PDS with 208 buses (considering both medium and low voltage buses) have met the aims of this paper. The results show that by using ESEMs in a decentralized architecture, both the data transit through the communication network, as well as the computational requirements involved in monitoring PDSs in real-time, are reduced considerably without any loss of accuracy.

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Section: Network and Protocols Of Communicationmentioning

confidence: 99%

Validation of Embedded State Estimator Modules for Decentralized Monitoring of Power Distribution Systems Using IoT Components

Gonzaga

Márquez-Sánchez

Santos

et al. 2022

Sensors

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“…Due to its energy efficiency [17], high reliability and effectiveness [18], LoRa technology has been cited as a preferable data transmission method in a variety of publications. Numerous researchers have employed the LoRa protocol for precision agriculture applications, including monitoring beehives [19], [20]. It is based on the LoRa protocol and makes use of the Chirp Spread Spectrum (CSS) modulation method.…”

Section: Introductionmentioning

confidence: 99%

A Lora-based Testbed Development for Stingless Bee Monitoring System

Miskon¹,

Razak²,

Ja’afar³

et al. 2022

TEM Journal

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In recent years, stingless bee honey has gained popularity due to its health benefits and commercial potential. There is a worrying tendency of bee colonies leaving its hives suddenly, and a specific research has been done to monitor the insect's habits. This project proposed a testbed for a stingless beehive monitoring system capable of capturing sensory data that provides an accurate indication of the bee's health and activity. This project utilises a raspberry pi gateway as a LoRa packet forwarder and four Arduino end nodes to collect sensor data from stingless beehives. The outcome showed that all planned functionalities had been accomplished, and these characteristics are expected to provide sufficient information to the beekeeper to take appropriate action to avert colony collapse. Future studies will focus on the modelling and correlation of measured environmental data in order to forecast bee colony loss.

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“…Sensors, actuators, hardware, software, and storage are all included in the objects and are incorporated in a wide domain of applicability including medical care, education, transportation industry, and agriculture 5,6 . The basic goal of the IoT is to increase the connection between hardware items and the edge computing environment, along with data transformation in meaningful information without human intervention 7,8 . Hardware, middleware, and presentation are the three components of the IoT.…”

Section: Introductionmentioning

confidence: 99%

“…5,6 The basic goal of the IoT is to increase the connection between hardware items and the edge computing environment, along with data transformation in meaningful information without human intervention. 7,8 Hardware, middleware, and presentation are the three components of the IoT. Battery-enabled devices, sensing gadgets, and transmission module make up the hardware component.…”

Section: Introductionmentioning

confidence: 99%

Energy efficient IoT‐based informative analysis for edge computing environment

Bhatia

2022

Trans Emerging Tel Tech

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Internet of Things (IoT) is an intelligent technology that interconnection of everything at any time over an edge computing network. Because of pervasiveness and ubiquity, IoT technology is exhausting energy resources over edge computing platforms. As a result, IoT energy efficiency has become a prominent research domain. Conspicuously, an energy-efficient IoT framework for the edge computing paradigm has been proposed in the present research. Specifically, the proposed framework comprises three layers including perception and control layer, data processing layer, and application and visualization layer.The presented framework predicts inactive sensor intervals based on respective battery percentage, historical utility, and data accuracy needed for edge-based service delivery. Specifically, when the sensing nodes are in inactivity mode, the predicted value increases edge resource usage by re-provisioning the allotted resources. Moreover, the presented technique enables energy-efficient utilization of IoT resources. For validation purposes, the performance comparison is performed with state-of-the-art techniques. It shows that the presented framework is significantly enhanced in terms of energy consumption efficacy (30.45 mJ/K nodes), packet loss ratio (0.51%), statistical performance, and system stability (84.69%).

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Adaptive Small Cell position algorithm (ASPA) for green farming using NB-IoT

Cited by 14 publications

References 24 publications

Validation of Embedded State Estimator Modules for Decentralized Monitoring of Power Distribution Systems Using IoT Components

Validation of Embedded State Estimator Modules for Decentralized Monitoring of Power Distribution Systems Using IoT Components

A Lora-based Testbed Development for Stingless Bee Monitoring System

Energy efficient IoT‐based informative analysis for edge computing environment

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