Implementation smart home using internet of things

Mayub, Afrizal; Fahmizal, Fahmizal; Shidiq, Ma’ruf; Oktiawati, Unan Yusmaniar; Rosyid, Nur Rohman

doi:10.12928/telkomnika.v17i6.11722

Cited by 22 publications

(18 citation statements)

References 20 publications

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“…The association between the PMV-index and the predicted percentage of dissatisfaction (PPD) was determined through steady state experiments as shown in Figure 2. This figure shows an equivalent quantity of complaints on the 'warm' side as on the 'cold' side, the curve is identical about the PMV of (0) [16][17][18][19][20][21][22][23][24][25].…”

Section: Fanger's Thermal Comfort Approachmentioning

confidence: 99%

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

Mohammed¹,

Awad²,

Radhi³

2020

IJEECS

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This paper presents a design, simulation and performance evaluation of an optimized model for the Heating, Ventilation and Air-Conditioning (HVAC) systems using intelligent control algorithm. Fanger’s comfort method and genetic algorithms were used to obtain the optimal and initial values. The heat transmission coefficient between internal and external environments were determined depending on several inputs and factors acquired via supervisory control and data acquisition (SCADA) system sensors. The main feature of the real-time model is the prediction of the internal buildings environment, in order to control HVAC system for indoor environment and to utilize the optimum power consumed depending on optimized air temperature value. The predicted air temperature value and Predictive Mean Vote (PMV) value was applied using intelligent algorithm to obtain an optimal comfort level of the air temperature. The optimized air temperature value can be used in HVAC system controller to ensure that the temperature of indoor can reach a specific value after a known period of time. The use of genetic algorithm (GE) ensures that the used power is well below its peak value and maintains the comfort of the user’s environment.

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Section: Fanger's Thermal Comfort Approachmentioning

confidence: 99%

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

Mohammed¹,

Awad²,

Radhi³

2020

IJEECS

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“…It uses a publish/subscribe model between IoT nodes. A broker (cloud server) is the station where the publisher node sends their messages in a specific topic and the client node check the topics [21]. Nodes may subscribe in some topics and not in other topics.…”

Section: Mqtt Protocolmentioning

confidence: 99%

Secure vehicle to vehicle voice chat based MQTT and CoAP internet of things protocol

Hussein

Shujaa

2020

IJEECS

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The congestion of road traffic is one of the most problems facing the ambulance transportation to provide fast healthcare service for patient. In this work, ambulance tracking with messages transfer system has been designed and implemented such that a central monitoring and tracking unit can observe ambulance using MQTT IoT protocol. Where each vehicle is occupied with an intelligent embedded system (Raspberry Pi) unit. When an ambulance is being in the road, it will communicate with other vehicle or road traffic by means of CoAP IoT protocol as a direct device to device communication. The proposed system has been designed such that driver use voice chat and the system are completely hand free. The voice message is being transfer into text by using speech recognition based Google API library, and then the received text message is converted again to speech by using text to speech algorithm. An encryption–decryption process-based stream cipher has been used. The message between IoT nodes has been encrypted using One Time Pad (OTP) and DNA computing. Furthermore, the required key sequence was generated using a linear feedback shift register (LFSR) as a pseudo number key generator. This key sequence was combined to generate a unique key for each message.

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“…The features of the security system have been increased with the advancement in the internet field. The concept of the internet of things (IoT) is introduced where the appliances can communicate with humans [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Design and implement a smart system to detect intruders and firing using IOT

Kadhim,

MohammedAmeen

2020

IJECE

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The security system is essential for occupants' convenience and protection from intruders and fire. Theft and fire are the most important requirement for the security system. The advancement of wireless sensor networks using IOTs increased the features in a security system and play an important role in daily life. In this paper, the proposed system is divided into two units. The first one about security which use to take snapshots by a camera whenever there is fire or intruders in the security zone and mail it to the owner every three seconds by using Arduino configured with MATLAB program. MATLAB program plays the main role to coordinate between sensors and to turn on/off the cameras. The second unit is about controlling the appliances and also the main door by using AVR microcontroller configured by CVAVR software that connected with Bluetooth sensor and controlled by a smartphone by using the implementation software built-up in the smartphone. To arrival of the control unit, the user should send code from the software implementation to the framework that use to turn on /off the devices or open/close the door. This proposed system is designed and implemented in details in this paper.

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Implementation smart home using internet of things

Cited by 22 publications

References 20 publications

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

Secure vehicle to vehicle voice chat based MQTT and CoAP internet of things protocol

Design and implement a smart system to detect intruders and firing using IOT

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