Developing of General IrDa Remote to Wirelessly Control IR-based Home Appliances

Adiono, Trio; Anindya, Sinantya Feranti; Fathany, Maulana Yusuf

doi:10.1109/gcce.2018.8574863

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…For controlling conventional household appliances, infrared signals are widely used. There are several existing studies on developing smart remote controls that send infrared signals according to commands from mobile devices [3,4,5]. While they make conventional household appliances controllable with mobile devices, the issue that physical obstacles shelter infrared signals exists.…”

Section: Related Workmentioning

confidence: 99%

A drone-based movable smart remote control for household appliances

2022

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As various Internet of Things (IoT) devices have been developed, "smart remote control" products are attracting attention. A smart remote control enables controlling multiple conventional household appliances, i.e., controllable by an infrared remote control but incapable of WiFi/Bluetooth connectivity, from mobile devices like smartphones. One of the drawbacks is the difficulty of covering a whole indoor space with one smart remote control since infrared signals could be sheltered by physical obstacles such as walls, pillars, and furniture. Consequently, users are forced to control manually or install multiple smart remote controls. To solve this issue, we propose a drone-based movable smart remote control. The proposed system enables covering a broader space with a single smart remote control and makes it easy to adapt to the change in the position of household appliances. As a proof of concept, we conducted an experiment with actual devices and confirmed that the drone-based smart remote control makes infrared signals reach a wider area than placing a smart remote control on the wall.

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Section: Related Workmentioning

confidence: 99%

A drone-based movable smart remote control for household appliances

2022

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“…Short range communications have been a major asset over the past three decades, especially complementing wireline communications of computers and mobile phones. In this regard, applications set out from optical infrared using the IrDA (Infrared data Association) protocol 10,11 which was quickly replaced by radio systems such as Bluetooth 12,13 which was later complemented by NFC (Near Field Communication). 14,15 Recently, UWB communication 16,17 which has suffered from a checkered history has become attractive, again.…”

Section: Related Work On Short Range Communicationsmentioning

confidence: 99%

“…and N = B TX T = 1000 (19) as well as the time instants t given by (10). The LOS path appears at ≈4.5 milliseconds which corresponds to the initial distance between the movable microphone and the immobile loudspeaker of ≈1.54 m. Also, it can be seen in Figure 4B that the delay of the LOS path increases with increasing time t which is due to the fact that the train team rides with the speed v equal to 3.6 cm/s, cf (A9), increasing its distance from the immobile loudspeaker with increasing time t. At time t equal to 5.75 s, as expected, the delay of the LOS path is ≈5 ms, which corresponds to the distance ≈1.72 m between the movable microphone and the immobile loudspeaker.…”

Section: Typical Ctf and Cirmentioning

confidence: 99%

Sounding and modeling of the indoor aerial acoustic transmission channel

Jung

Bruck

2021

Trans Emerging Tel Tech

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The authors verify that the indoor aerial acoustic transmission channel regarding small-scale application environments, for example, a car cabin, is a quasi-wide sense stationary uncorrelated scattering (QWSSUS) channel like radio channels. To the best knowledge of the authors, the QWSSUS feature of the indoor aerial acoustic transmission channel has never been evaluated before. Setting out from the QWSSUS concept, the channel modeling by means of correlation functions is proposed. Also, parameter sets that can be used in channel simulations are suggested. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…Some works utilize the IR module to control home appliances by recognizing human gestures with wearables such as armbands [1], or gloves [2], or other sensing devices [3]. Some research works also use the IR device as a medium to take commands from smartphones and send those to home electronics [4][5][6][7][8]. The IR communication is also used to operate special devices such as robots [9,10].…”

Section: Introductionmentioning

confidence: 99%

Eavesdropping Vulnerability and Countermeasure in Infrared Communication for IoT Devices

Kim

Suh

2021

Sensors

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Infrared (IR) communication is one of the wireless communication methods mainly used to manipulate consumer electronics devices. Traditional IR devices support only simple operations such as changing TV channels. These days, consumer electronic devices such as smart TV are connected to the internet with the introduction of IoT. Thus, the user’s sensitive information such as credit card number and/or personal information could be entered with the IR remote. This situation raises a new problem. Since TV and the set-top box are visual media, these devices can be used to control and/or monitor other IoT devices at home. Therefore, personal information can be exposed to eavesdroppers. In this paper, we experimented with the IR devices’ reception sensitivity using remotes. These experiments were performed to measure the IR reception sensitivity in terms of distance and position between the device and the remote. According to our experiments, the transmission distance of the IR remote signal is more than 20 m. The experiments also revealed that curtains do not block infrared rays. Consequently, eavesdropping is possible to steal the user’s sensitive information. This paper proposes a simple, practical, and cost-effective countermeasure against eavesdropping, which does not impose any burden on users. Basically, encryption is used to prevent the eavesdropping. The encryption key is created by recycling a timer inside the microcontroller typically integrated in a remote. The key is regenerated whenever the power button on a remote is pressed, providing the limited lifecycle of the key. The evaluation indicates that the XOR-based encryption is practical and effective in terms of the processing time and cost.

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Developing of General IrDa Remote to Wirelessly Control IR-based Home Appliances

Cited by 7 publications

References 12 publications

A drone-based movable smart remote control for household appliances

A drone-based movable smart remote control for household appliances

Sounding and modeling of the indoor aerial acoustic transmission channel

Eavesdropping Vulnerability and Countermeasure in Infrared Communication for IoT Devices

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