IoT Based Smart Home Automation and Demand Based Optimum Energy Harvesting and Management Technique

Shabnam, Farzana; Islam, Tawfat-Ul; Saha, Subroto; Ishraque, Hasin

doi:10.1109/tensymp50017.2020.9230940

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…The demand for monitoring and management of smart homes, wearable devices, biomedical and industrial systems, and infrastructure has enabled the development of the Internet of Things (IoT) in recent years [1][2][3]. The IoT requires billions of wireless sensor network (WSN) nodes, which conventionally rely on battery power: however, the resultant problem is that the battery capacity is insufficient to last the entire sensor life cycle, and the labor and resources required to replace the widely distributed batteries require huge maintenance expense.…”

Section: Introductionmentioning

confidence: 99%

A Review of Converter Circuits for Ambient Micro Energy Harvesting

Lian

Han²,

Mei

2022

Micromachines

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The Internet of Things (IoT) has a great number of sensor nodes distributed in different environments, and the traditional approach uses batteries to power these nodes: however, the resultant huge cost of battery replacement means that the battery-powered approach is not the optimal solution. Micro energy harvesting offers the possibility of self-powered sensor nodes. This paper provides an overview of energy harvesting technology, and describes the methods for extracting energy from various sources, including photovoltaic, thermoelectric, piezoelectric, and RF; in addition, the characteristics of the four types of energy sources and the applicable circuit structures are summarized. This paper gives the pros and cons of the circuits, and future directions. The design challenges are the efficiency and size of the circuit. MPPT, as an important method of improving the system efficiency, is also highlighted and compared.

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Section: Introductionmentioning

confidence: 99%

A Review of Converter Circuits for Ambient Micro Energy Harvesting

Lian

Han²,

Mei

2022

Micromachines

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“…Nowadays, Internet of Things (IoT) has been emerging as one of the key digital transformation technologies and predicted to influence the global economy with an estimated $4 trillion to $11 trillion and 75.4 billion connected devices by 2025 [1]. IoT has been one of hot research topics in a wide variety of academic and industrial disciplines [2][3][4][5][6]. Many researches have been introduced in order to cope with IoT challenges and issues including QoS flexibility [2,3], energy efficiency [4][5][6] and particularly various priority data provision [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…IoT has been one of hot research topics in a wide variety of academic and industrial disciplines [2][3][4][5][6]. Many researches have been introduced in order to cope with IoT challenges and issues including QoS flexibility [2,3], energy efficiency [4][5][6] and particularly various priority data provision [7][8][9]. In general, conventional works consider separately or simultaneously the requirements of data priority and energy usage, and their methods can be divided into three main categories that are MAC layer, routing and queue priority in network layer, or application layer [6].…”

Section: Introductionmentioning

confidence: 99%

Efficient Backoff Priority-based Medium Access Control Mechanism for IoT Sensor Networks

Nguyen¹,

Le²,

Hoang³

et al. 2022

Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering

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4Recent rapid penetration of Internet of Things (IoT) in various fields such as smart homes, healthcare, and industrial applications has raised new challenges on the QoS requirements including data prioritization and energy saving. In IoT networks, data is heterogeneous and varies in a wide range of categories and urgency. More critical data must be served more quickly and reliably than regular data. In order to deal with crucial issues effectively and improve the performance of wireless sensor networks in IoT, we propose an efficient Backoff Priority-based Medium Access Control (BoP-MAC) scheme that supports multiple priority data and exploits the use of backoff mechanism. In our proposed solution, data priority is utilized to properly resize the backoff window at the MAC layer to ensure that high-priority data are transferred earlier and more reliably. Numerical simulations are used on OMNeT++ to verify the efficiency of our proposed BoP-MAC protocol in comparison with that of a notably conventional MAC protocol called Timeout Multi-priority-based MAC (TMPQ-MAC) protocol. The attained experimental results demonstrate that our developed BoP-MAC protocol outperforms the comparable conventional one and becomes more efficient for large-scale wireless sensor networks. It can effectively cope with various data priorities and enhance significantly the overall performance, in terms of latency, energy consumption, and packet success ratio, of the network. Index Terms4Backoff window, Internet of things, MAC protocol, Wireless sensor networks.

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“…An IoTbased home automation system was developed that provides an efficient smart home that will effectively control the usage of the appliances by load schedule. Moreover, solar power generation is also considered to reduce the power consumption from the national grid [2]. The power consumption data can be efficiently measured using a smart energy meter.…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Real Time Energy Management of Virtual Power Plant Using PLC for Transactive Energy Framework

et al. 2021

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The high penetration of renewable sources owing to less environmental pollution creates challenges for the grid operators. Virtual Power Plant is a novel concept that will integrate the small distributed energy resources and will act as a single conventional power plant in the electricity market. As a core energy management system in VPP, the energy should be dispatched optimally for achieving the maximum profit. Therefore, smart energy management is developed in this article of VPP with PLC and IoT in a unified market environment that integrates the DA and RT market. The cost characteristics for the interruptible load, battery storage system are modelled individually. The proposed scheme can efficiently handle the energy demand for the VPP domain. Four different scenarios are considered with different loading conditions for validation of the concept of smart energy management. The profitability for each scenario is shown with the experimental results.

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IoT Based Smart Home Automation and Demand Based Optimum Energy Harvesting and Management Technique

Cited by 5 publications

References 12 publications

A Review of Converter Circuits for Ambient Micro Energy Harvesting

A Review of Converter Circuits for Ambient Micro Energy Harvesting

Efficient Backoff Priority-based Medium Access Control Mechanism for IoT Sensor Networks

IoT-Based Real Time Energy Management of Virtual Power Plant Using PLC for Transactive Energy Framework

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