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Jo Gyong Il,

Ri Chol Ryong,

Ri Hua,

Pak Chol Ryong,

Kim Hyon Chol,
- Faculty, Department of Information Technology and Science, Kim Il Sung University, Pyongyang, DPR Korea
- Faculty, Department of Information Technology and Science, Kim Il Sung University, Pyongyang, DPR Korea
- Faculty, Department of Information Technology and Science, Kim Il Sung University, Pyongyang, DPR Korea
- Faculty, Department of Information Technology and Science, Kim Il Sung University, Pyongyang, DPR Korea
- Faculty, Department of Information Technology and Science, Kim Il Sung University, Pyongyang, DPR Korea
Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_130692’);});Edit Abstract & Keyword
This paper presents the method of monitoring and controlling the smart devices in a smart home using dual-tone multi-frequency (DTMF) signal and Zigbee wireless communication. Today most of homes are equipped with relatively prefect phone lines. Thus, DTMF is very helpful in decreasing the cost of smart homes. DTMF is a signal used in the telephone network in calling with numbers. If this is used, not only can we control the smart terminal devices, but we can also do the state checkups, thus it is very appropriate for the smart home. Smart devices used in smart homes are various and distributed in some areas and therefore it is easy to set up the system combining with short range wireless communication such as Zigbee. This paper suggests constructing the system using gateway with DTMF generating and decoding abilities, and smart terminal devices with many functions. The components use Zigbee wireless communication. The main objective of using DTMF signal and Zigbee wireless communication in a smart home is to reduce the cost of the whole system setup and develop more effective system than before. This paper implemented the smart home system consisting of gateway and smart terminal devices such as smart connector, fire alarm, and door monitor and analyzed its operating accuracy through the test. The results show that the smart home system with DTMF and Zigbee wireless communication uses the telephone line that is firm in the substructure foundation so the original installation costs are significantly reduced and it also provides more effective performance for smart homes.
Keywords: Dual-tone multi-frequency (DTMF), Zigbee, smart home, gateway, wireless communication
[This article belongs to Journal of Telecommunication, Switching Systems and Networks (jotssn)]
Jo Gyong Il, Ri Chol Ryong, Ri Hua, Pak Chol Ryong, Kim Hyon Chol. Application of DTMF and Zigbee Wireless Communication in a Smart Home. Journal of Telecommunication, Switching Systems and Networks. 2024; 11(03):1-10.
Jo Gyong Il, Ri Chol Ryong, Ri Hua, Pak Chol Ryong, Kim Hyon Chol. Application of DTMF and Zigbee Wireless Communication in a Smart Home. Journal of Telecommunication, Switching Systems and Networks. 2024; 11(03):1-10. Available from: https://journals.stmjournals.com/jotssn/article=2024/view=0
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References
document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_130692’);});Edit
- Singh AK, Singh K, Dixit Automatic communication control configuration system through lay outing system bus. Int J Eng Sci Comput. 2017; 7 (6): 12822–12829.
- Agrawal A, Saurabh Traffic control system using Zigbee module. Int J Eng Sci Comput. 2017; 7 (4): 11150–11153.
- Gunge VS, Yalagi Smart home automation: a literature review. Int J Computer Appl. 2016; RTDM: 6–10.
- Biswas T, Saha A, Saha D. DTMF and GSM based home automation system. Adv Ind Eng Manag. 2017;6(2):111–6. DOI: 10.7508/aiem.2017.02.010.
- Madhuri K, Sai BL, Sirisha A home automation system design using hardware descriptive tools. Int J Eng Res Technol. 2013; 2 (7): 385–393.
- Bissey S, Jacques S, Le Bunetel J-C. The fuzzy logic method to efficiently optimize electricity consumption. in individual housing. Energies. 2017; 10 (11): 1701.
- Chekired F, Mahrane A, Samara Z, Chikh M, Guenounou A, Meflah Fuzzy logic energy management for a photovoltaic solar home. Energy Procedia. 2017; 134: 723–730.
- Soetedjo A, Lomi A, Nakhoda Implementation of optimization technique on the embedded systems and wireless sensor networks for home energy management in smart grid. In: Proceedings of the 2016 IEEE Conference on Wireless Sensors (ICWiSE), Langkawi, Malaysia, October 10–12, 2016. pp. 26–31.
- Arikiez M, Alotaibi F, Rehan S, Rohouma Minimizing the electricity cost of coordinating houses on microgrids. In Proceedings of the 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Ljubljana, Slovenia, October 9–12, 2016. pp. 1–6.
- Shareef H, Ahmed MS, Mohamed A, Al Hassan Review on home energy management system considering demand responses, smart technologies, and intelligent controllers. IEEE Access. 2018; 6: 24498–24509.
- Marin I, Goga N, Vasilateanu A novel indoor positioning using smart luminaires. In: Proceedings of the 9th International Conference on Information, Intelligence, Systems and Applications, Zakynthos, Greece, July 23–25, 2018. pp. 1–5.
- Marin I, Goga N, Draghici I, Pavaloiu I, Nitu Ambient assisted control using smart luminaires. In: Proceedings of the Zooming Innovation in Consumer Electronics International Conference, Novi Sad, Serbia, May 30–31, 2018. pp. 123–127.
- Kelly SDT, Suryadevara NK, Mukhopadhyay Towards the implementation of IoT for environmental condition monitoring in homes. IEEE Sensors J, 2013; 13 (10): 3846–3853.
- Piyare Internet of things: ubiquitous home control and monitoring system using Android based smart phone. Int J Internet of Things. 2013; 2 (1): 5–11.
- Ghasemi F, Rezaee A, Rahmani AM. Structural and behavioral reference model for IoT‐based elderly health‐care systems in smart home. Int J Commun Syst. 2019; 32 (12): e4002.
- Deng D-J, Gan M, Guo Y-C, Yu J, Lin Y-P, Lien S-Y, Chen K-C. IEEE 802.11ba: low-power wake-up radio for green IoT. IEEE Commun Mag. 2019; 57 (7): 106–112.
- Balkhande BW, Dhakate KR, Iphode UG, Junghare RA. Home automation using speech recognition in Android framework. Int J Eng Sci Comput. 2017; 7 (1): 4871–4873.
- Soetedjo A, Nakhoda YI, Saleh C. Embedded fuzzy logic controller and wireless communication for home energy management systems. Electronics. 2018; 7 (9): 189.
- Bassoli M, Bianchi V, De Munari I.“A plug and play IoT Wi-Fi smart home system for human monitoring. Electronics. 2018; 7 (9): 200.
- Kaur N, Singh B. A survey on wireless body area network and human machine control. Int J Eng Sci Comput. 2017; 7 (5): 11581–11585.
- Feng X, Yan F, Liu X. Study of wireless communication technologies on internet of things for precision agriculture. Wireless Pers Commun. 2019; 108: 1785–1802.
- Jogdand RR, Choudhari BN. DTMF based home automation system. Int J Eng Sci Comput. 2017; 7 (2): 4328–4331.
- McCormick IEEE Technology Report on wake-up radio: an application, market, and technology impact analysis of low-power/low-latency 802.11 wireless LAN interfaces. 802.11ba Battery Life Improvement: IEEE Technology Report on Wake-Up Radio. 2017. pp. 1–56.
- Piyare R, Murphy Al, Kiraly C, Tosato P, Brunelli D. Ultra low power wake-up radios: a hardware and networking survey. IEEE Commun Surv Tutorials. 2017; 19 (4): 2117–2157.
- Gomez K, Rasheed T, Riggio R, Miorandi D, Sengul C, Bayer N. Achilles and the tortoise: power consumption in IEEE 802.11n and IEEE 802.11g networks. In: 2013 IEEE Online Conference on Green Communications (OnlineGreenComm), Piscataway, NJ, USA, October 29–31,
pp. 20–26.

Journal of Telecommunication, Switching Systems and Networks
| Volume | 11 |
| Issue | 03 |
| Received | 11/07/2024 |
| Accepted | 09/09/2024 |
| Published | 18/09/2024 |
