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Book ChapterDOI

Home Automation Using Internet of Things

TL;DR: Algorithm to save the energy of lights and air conditioners of the entire home is implemented and energy consumption before and after implementation of system model has been calculated which showed that a total of 20.78% energy has been saved.
Abstract: Internet of Things is the internetworking of devices such as heart monitoring, automobiles with built-in sensors, environmental monitoring, home automation and lightning that enable these devices to gather, communicate, share, receive, and transfer data over a network. The Internet of Things is about making the surrounding environment smart including the buildings used for living beings like homes and hospitals. In this paper, various sensors are deployed in home such as motion sensors, luminance sensors and temperature sensors, is discussed. Algorithm to save the energy of lights and air conditioners of the entire home is also implemented in this paper. Energy consumption before and after implementation of system model has been calculated which showed that a total of 20.78% energy has been saved.
Citations
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Journal ArticleDOI
TL;DR: The recent progress on TENG‐based intelligent systems, that is, wearable electronics, robot‐related systems, and smart homes, followed by prospective future development enabled by sensor fusion technology, is focused on.
Abstract: With the development of 5G and Internet of Things (IoT), the era of big data‐driven product design is booming. In addition, artificial intelligence (AI) is also emerging and evolving by recent breakthroughs in computing power and software architectures. In this regard, the digital twin, analyzing various sensor data with the help of AI algorithms, has become a cutting‐edge technology that connects the physical and virtual worlds, in which the various sensors are highly desirable to collect environmental information. However, although existing sensor technologies, including cameras, microphones, inertial measurement units, etc., are widely used as sensing elements for various applications, high‐power consumption and battery replacement of them is still a problem. Triboelectric nanogenerators (TENGs) as self‐powered sensors supply a feasible platform for realizing self‐sustainable and low‐power systems. Herein, the recent progress on TENG‐based intelligent systems, that is, wearable electronics, robot‐related systems, and smart homes, followed by prospective future development enabled by sensor fusion technology, is focused on. Finally, how to apply artificial intelligence to the design of intelligent sensor systems for the 5G and IoT era is discussed.

86 citations

Journal ArticleDOI
TL;DR: A detailed analysis of the barriers faced during the implementation of Internet of Things (IoT) within the manufacturing sector is presented to obtain a hierarchical structure, which will help the policymakers to identify the most crucial barriers enabling them to make an informed decision.
Abstract: Incorporation of smart devices within the older framework has brought along significant challenges. This paper presents a detailed analysis of the barriers faced during the implementation of Intern...

79 citations

Proceedings ArticleDOI
01 Aug 2017
TL;DR: The design of smart home automation framework that utilizes the combination of cloud networking and wireless communication, to remote control various electrical appliances, to users within their home using a smart phone is presented.
Abstract: With an exponential advancement of automation technology, the future of manual systems are changing into automatic systems for various benefits. Also, internet has become an integral part of one's life where Internet of Things (IoT) is the latest and emerging internet technology that has changed the way one looks at things. Internet of things is developing everyday from small scale machines to large scale machines that can share data and accomplish tasks while individuals are occupied with other activities. The main aim of the paper is to design a smart home automation system using IoT, that is to turn a customary home to a smart home for accessing and controlling devices and appliances remotely using Android based Smart phone app. To be specific, we aim to design a low cost, extensible, flexible wireless smart home automation system using IoT which employs the integration of wireless communication, cloud networking to provide users to control a variety of devices from remote locations by providing an user friendly interface and ease of installation. This paper presents the design of smart home automation framework that utilizes the combination of cloud networking and wireless communication, to remote control various electrical appliances (like lights, fans), to users within their home using a smart phone. The system will automatically control appliances on the basis of sensors' data by constantly monitoring the home environment and storing sensor data onto the cloud. To exhibit the possibility and adequacy of our framework, electrical appliances (like lights, fans) and sensors have been incorporated within the proposed home control system.

63 citations


Cites background from "Home Automation Using Internet of T..."

  • ...In this way, they can be of immense help for automation systems [1]....

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  • ...Existing Technologies for Smart Homes Home-based System automations range from simple systems (such as light and fan control) to more as complex systems (such as heavy electrical appliances) around the house, to more entangled systems such as security and robotics for home care or home environment [1]....

    [...]

Journal ArticleDOI
TL;DR: An artificial intelligence of toilet (AI-toilet) based on a triboelectric pressure sensor array offering a more private approach with low cost and easily deployable software is demonstrated.

57 citations

Proceedings ArticleDOI
01 Sep 2017
TL;DR: The proposed system connects and controls most of the IoT devices connected to it using Voice, which will effortlessly help humans in various fields like Home automation, networking, data monitoring and others.
Abstract: The Internet of Things (IoT) means learning and interacting with millions of things including services, sensors, actuators, and many other objects on the Internet. This project enhances on how far IoT can connect devices on different platforms. This will effortlessly help humans in various fields like Home automation, networking, data monitoring and others. The evolution of human-machine user interface has drastically changed over the years. The path of advancement has been through keyboard, mouse, touch and now it is Voice. This new user interface can be achieved by Alexa Voice Service. Currently, we have very few devices that can be controlled using Alexa. Some of the examples are Philips Hue, WeMo, and Wink. But these are limited to certain hardware. The initial installation and maintenance is expensive. The proposed system connects and controls most of the IoT devices connected to it using Voice. As the number of devices on the cloud increase, there is need for updating firmware more frequently. This is tedious. It involves taking out the installed devices, changing the code and flashing it again. To overcome these, processing of data and response can be done elsewhere. Node-Red, a visual wiring tool helps in connecting devices with ease resulting in effortless and rapid connection setups.

49 citations


Cites background from "Home Automation Using Internet of T..."

  • ...IoT allows these devices connected and controlled remotely [8][9]....

    [...]

References
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Journal ArticleDOI
TL;DR: This work improves the basic formulation of cooperative PSO by introducing stochastic repulsion among the particles and simultaneously scheduling all DER schedules, to investigate the potential consumer value added by coordinated DER scheduling.
Abstract: We describe algorithmic enhancements to a decision-support tool that residential consumers can utilize to optimize their acquisition of electrical energy services. The decision-support tool optimizes energy services provision by enabling end users to first assign values to desired energy services, and then scheduling their available distributed energy resources (DER) to maximize net benefits. We chose particle swarm optimization (PSO) to solve the corresponding optimization problem because of its straightforward implementation and demonstrated ability to generate near-optimal schedules within manageable computation times. We improve the basic formulation of cooperative PSO by introducing stochastic repulsion among the particles. The improved DER schedules are then used to investigate the potential consumer value added by coordinated DER scheduling. This is computed by comparing the end-user costs obtained with the enhanced algorithm simultaneously scheduling all DER, against the costs when each DER schedule is solved separately. This comparison enables the end users to determine whether their mix of energy service needs, available DER and electricity tariff arrangements might warrant solving the more complex coordinated scheduling problem, or instead, decomposing the problem into multiple simpler optimizations.

824 citations

Proceedings ArticleDOI
03 Nov 2010
TL;DR: How to use cheap and simple sensing technology to automatically sense occupancy and sleep patterns in a home, and how to use these patterns to save energy by automatically turning off the home's HVAC system, called the smart thermostat.
Abstract: Heating, ventilation and cooling (HVAC) is the largest source of residential energy consumption. In this paper, we demonstrate how to use cheap and simple sensing technology to automatically sense occupancy and sleep patterns in a home, and how to use these patterns to save energy by automatically turning off the home's HVAC system. We call this approach the smart thermostat. We evaluate this approach by deploying sensors in 8 homes and comparing the expected energy usage of our algorithm against existing approaches. We demonstrate that our approach will achieve a 28% energy saving on average, at a cost of approximately $25 in sensors. In comparison, a commercially-available baseline approach that uses similar sensors saves only 6.8% energy on average, and actually increases energy consumption in 4 of the 8 households.

632 citations

Journal ArticleDOI
TL;DR: The proposed home energy control system's design that provides intelligent services for users is introduced and its implementation using a real environment is demonstrated.
Abstract: Today, organizations use IEEE802.15.4 and ZigBee to effectively deliver solutions for a variety of areas including consumer electronic device control, energy management and efficiency home and commercial building automation as well as industrial plant management. The Smart home energy network has gained widespread attentions due to its flexible integration into everyday life. This next generation green home system transparently unifies various home appliances, smart sensors and wireless communication technologies. The green home energy network gradually forms a complex system to process various tasks. Developing this trend, we suggest a new Smart Home Energy Management System (SHEMS) based on an IEEE802.15.4 and ZigBee (we call it as a "ZigBee sensor network"). The proposed smart home energy management system divides and assigns various home network tasks to appropriate components. It can integrate diversified physical sensing information and control various consumer home devices, with the support of active sensor networks having both sensor and actuator components. We develop a new routing protocol DMPR (Disjoint Multi Path based Routing) to improve the performance of our ZigBee sensor networks. This paper introduces the proposed home energy control system's design that provides intelligent services for users. We demonstrate its implementation using a real environment.

562 citations

Proceedings ArticleDOI
22 Mar 2010
TL;DR: Simulation results confirm that the proposed distributed algorithm significantly reduces the peak-to-average-ratio (PAR) in load demand and the total cost in the system.
Abstract: In this paper, we consider deployment of energy consumption scheduling (ECS) devices in smart meters for autonomous demand side management within a neighborhood, where several buildings share an energy source. The ECS devices are assumed to be built inside smart meters and to be connected to not only the power grid, but also to a local area network which is essential for handling two-way communications in a smart grid infrastructure. They interact automatically by running a distributed algorithm to find the optimal energy consumption schedule for each subscriber, with an aim at reducing the total energy cost as well as the peak-to-average-ratio (PAR) in load demand in the system. Incentives are also provided for the subscribers to actually use the ECS devices via a novel pricing model, derived from a game-theoretic analysis. Simulation results confirm that our proposed distributed algorithm significantly reduces the PAR and the total cost in the system.

516 citations

Proceedings ArticleDOI
12 Apr 2010
TL;DR: Through the combination of KIT and Closed Loop Healthcare, a central AAL paradigm can be realized through the IoT, where the elderly live in their homes with smart objects, thus smart homes, communicating to the outside world in an intelligent and goal-orientated manner.
Abstract: The Internet of Things (IoT) is the logical further development of today’s Internet. Technological advancements lead to smart objects being capable of identifying, locating, sensing and connecting and thus leading to new forms of communication between people and things and things themselves. Ambient Assisted Living (AAL) encompasses technical systems to support elderly people in their daily routine to allow an independent and safe lifestyle as long as possible. Keep In Touch (KIT) uses smart objects and technologies (Near Field Communication and Radio Frequency Identification) to facilitate telemonitoring processes. Closed Loop Healthcare Services take use of KIT technology and are capable of processing relevant data and establishing communication channels between elderly people and their environment and different groups of care-givers (physicians, relatives, mobile care providers). The combination of KIT technology (smart objects) and Closed Loop Healthcare Services results in an applied IoT infrastructure for AAL scenarios. Already applied IoT and AAL applications in telemonitoring and medication intake compliance projects show that these applications are useful and accepted by the elderly and that the developed infrastructure enables a new form of communication between people and people, people-to-people (P2P) communication. The personal communication between elderly people, their environment and relevant groups of care givers is an important aspect in AAL. Through the combination of KIT and Closed Loop Healthcare, a central AAL paradigm can be realized through the IoT, where the elderly live in their homes with smart objects, thus smart homes, communicating to the outside world in an intelligent and goal-orientated manner.

506 citations