International Journal of Advanced Technology and Engineering Exploration ISSN (Print): 2394-5443    ISSN (Online): 2394-7454 Volume-12 Issue-129 August-2025
  1. 3710
    Citations
  2. 2.7
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Modeling a ZigBee-based wireless sensor network for temperature monitoring in smart hotels

Mohammed Khudhair Abbas1,  Ahmed Saad Hussein2 and Ahmed A. Hashim3

Department of Mobile Communications and Computing Engineering,College of Engineering, University of Information Technology and Communications, Baghdad,Iraq1
Department of Computer Engineering Techniques,Al-Yarmok University College, Diyala,Iraq2
Department of Business Information Technology,College of Business Informatics, University of Information Technology and Communications, Baghdad,Iraq3
Corresponding Author : Mohammed Khudhair Abbas

Recieved : 20-Oct-2024; Revised : 11-Aug-2025; Accepted : 13-Aug-2025

Abstract

To monitor and analyze the energy absorbed and reflected by buildings due to high temperatures, it is essential to utilize prior assessments and existing data for those buildings. Additionally, various modern wireless sensor technologies and applications provide more accurate results and are characterized by ease of installation and compatibility with multiple wireless communication methods, such as Bluetooth, ZigBee, general packet radio service (GPRS), and fourth generation mobile ntworks (4G)/ fifth generation mobile networks(5G) mobile networks. These sensors can also be updated and reprogrammed as needed. As mentioned earlier, such sensors can be integrated into any wireless network and are applicable for measuring parameters such as the temperature or humidity of a building or room, water temperature, or heating and cooling system performance. This research was conducted using multiple types of wireless networks. Modern sensors were deployed, and the accuracy of their readings was evaluated. These sensors were connected to a database via the hypertext transfer protocol (HTTP) and used to develop a system for monitoring and measuring temperatures inside and outside critical buildings, such as hotels. The research results were compared with the latest findings in the field. The system's effectiveness was evaluated based on the accuracy of the readings, the speed of data transfer via HTTP, and the time required for sensor readings to update the database. The simulation was carried out using Simulink MATLAB R2023b.

Keywords

Wireless sensor networks (WSN), Building energy monitoring, Temperature and humidity measurement, IoT-based monitoring systems, HTTP data transmission.

References

[1] Rao PM, Deebak BD. Security and privacy issues in smart cities/industries: technologies, applications, and challenges. Journal of Ambient Intelligence and Humanized Computing. 2023; 14(8):10517-53.

[2] Khang A, Hahanov V, Litvinova E, Chumachenko S, Hajimahmud AV, Ali RN, et al. The analytics of hospitality of hospitals in a healthcare ecosystem. In data-centric AI solutions and emerging technologies in the healthcare ecosystem 2023 (pp. 39-61). CRC Press.

[3] Sandhu M, Silvera-tawil D, Borges P, Zhang Q, Kusy B. Internet of robotic things for independent living: critical analysis and future directions. Internet of Things. 2024; 25:1-23.

[4] Akhai S, Wadhwa AS. Wireless networking solutions for climate control and comfort in modern air conditioning systems. In intelligent networks 2024 (pp. 165-81). CRC Press.

[5] He D, Cui Y, Ming F, Wu W. Advancements in passive wireless sensors, materials, devices, and applications. Sensors. 2023; 23(19):1-37.

[6] Daousis S, Peladarinos N, Cheimaras V, Papageorgas P, Piromalis DD, Munteanu RA. Overview of protocols and standards for wireless sensor networks in critical infrastructures. Future Internet. 2024; 16(1):1-27.

[7] Ziaeemehr B, Jandaghian Z, Ge H, Lacasse M, Moore T. Increasing solar reflectivity of building envelope materials to mitigate urban heat islands: state-of-the-art review. Buildings. 2023; 13(11):1-26.

[8] Zhou Z, Meng Q, Wang J, Ren P, Li C, Wang Z, et al. Impact of marine atmospheric corrosion on the thermophysical properties of building coatings. Journal of Building Engineering. 2024; 85:108704.

[9] Lopalo M. Temperature, worker productivity, and adaptation: evidence from survey data production. American Economic Journal: Applied Economics. 2023; 15(1):192-229.

[10] Li HJ, Zhu HH, Tan DY, Shi B, Yin JH. Detecting pipeline leakage using active distributed temperature sensing: theoretical modeling and experimental verification. Tunnelling and Underground Space Technology. 2023; 135:105065.

[11] Begum BA, Nandury SV. Data aggregation protocols for WSN and IoT applications–a comprehensive survey. Journal of King Saud University-Computer and Information Sciences. 2023; 35(2):651-81.

[12] Mowla MN, Mowla N, Shah AS, Rabie KM, Shongwe T. Internet of things and wireless sensor networks for smart agriculture applications: a survey. IEEE Access. 2023; 11:145813-52.

[13] Taliwal A, Pathania M, Chugh M. Social commerce recommendation systems: leveraging user behaviour and preferences. In advanced applications of generative AI and natural language processing models 2024 (pp. 265-85). IGI Global Scientific Publishing.

[14] Priyadarshi R. Exploring machine learning solutions for overcoming challenges in IoT-based wireless sensor network routing: a comprehensive review. Wireless Networks. 2024; 30(4):2647-73.

[15] Birtane S, Sahingoz OK, Korkmaz H. Vibrational genetic algorithm-based deployment of wireless sensor networks with heterogeneous nodes in irregularly shaped areas. IEEE Access. 2024; 12:62926-41.

[16] Siemuri A, Glocker T, Mekkanen M, Kauhaniemi K, Mantere T, Elmusrati M. Design and implementation of a wireless CAN module for marine engines using ZigBee protocol. IET Communications. 2023; 17(13):1541-52.

[17] Pullwitt S, Wolf L. Utilizing natural thermal gradients as micro energy sources for wireless sensor networks. In 19th international conference on distributed computing in smart systems and the internet of things (DCOSS-IoT) 2023 (pp. 95-102). IEEE.

[18] Fruett F. Temperature sensors and voltage references implemented in CMOS technology. IEEE Sensors Journal. 2001; 1(3):225-34.

[19] Djehaiche R, Aidel S, Sawalmeh A, Saeed N, Alenezi AH. Adaptive control of IoT/M2M devices in smart buildings using heterogeneous wireless networks. IEEE Sensors Journal. 2023; 23(7):7836-49.

[20] Paruvathavardhini J, Sudarmani R. Adaptive smart power saving techniques for machine-to-machine communication-enabled wireless sensor networks. In adaptive power quality for power management units using smart technologies 2023 (pp. 223-53). CRC Press.

[21] Anand R, Pandey D, Gupta DN, Dharani MK, Sindhwani N, Ramesh JV. Wireless sensor‐based IoT system with distributed optimization for healthcare. Meta Heuristic Algorithms for Advanced Distributed Systems. 2024: 261-88.

[22] Aggarwal S, Mittal A. Futuristic hospitality conceptualized: DASH-decentralized autonomous and smart hotel system. Journal of Open Innovation: Technology, Market, and Complexity. 2024; 10(1):1-16.

[23] Kalidas N, Goshteeswaran S, Hussain M, Mamidi KK, Kondaveeti SR. Intelligent drip irrigation: leveraging embedded systems and sensor networks for real-time monitoring and fault diagnosis. In E3S web of conferences 2024 (pp. 1-9). EDP Sciences.

[24] Lashari MH, Karim S, Alhussein M, Hoshu AA, Aurangzeb K, Anwar MS. Internet of things-based sustainable environment management for large indoor facilities. Peer J Computer Science. 2023; 9:e1623.

[25] Zou X, Liu W, Huo Z, Wang S, Chen Z, Xin C, et al. Current status and prospects of research on sensor fault diagnosis of agricultural internet of things. Sensors. 2023; 23(5):1-25.

[26] Bašić A, Viduka D, Kraguljac V, Lavrnić I, Jevremović M, Balaban P, et al. Multi-criteria decision analysis of wireless technologies in WPANs for IoT-enabled smart buildings in tourism. Buildings. 2024; 14(10):1-17.

[27] Rathnayaka RM, Sujah AM. IoT-driven environmental intelligence for sustainable tomorrow through advanced machine learning: a systematic literature review. Journal of Information and Communication Technology (JICT). 2025; 2:39-46.

[28] Ramani DR, Sujitha BB, Tangade S. Smart environmental monitoring systems: IoT and sensor‐based advancements. Environmental Monitoring Using Artificial Intelligence. 2025:45-60.

[29] Alturki N, Alharthi R, Umer M, Saidani O, Alshardan A, Alhebshi RM, et al. Efficient and secure IoT based smart home automation using multi-model learning and blockchain technology. CMES-Computer Modeling in Engineering and Sciences. 2024; 139(3):3387-415.

[30] Harasees A, Al-ahmad B, Alsobeh A, Abuhussein A. A secure IoT framework for remote health monitoring using fog computing. In international conference on intelligent computing, communication, networking and services (ICCNS) 2024 (pp. 17-24). IEEE.

[31] Poyyamozhi M, Murugesan B, Rajamanickam N, Shorfuzzaman M, Aboelmagd Y. IoT-a promising solution to energy management in smart buildings: a systematic review, applications, barriers, and future scope. Buildings. 2024; 14(11):1-31.

[32] Sheela MS, Gopalakrishnan S, Begum IP, Hephzipah JJ, Gopianand M, Harika D. Enhancing energy efficiency with smart building energy management system using machine learning and IOT. Babylonian Journal of Machine Learning. 2024; 2024:80-8.

[33] Kamatchi TP, Kumari KA. Smart sensing and intelligent systems: an overview with applications in engineering and sciences. Intelligent Sensor Node-Based Systems. 2023:1-38.

[34] Khairullah EF, Alghamdi AM, Al mojamed MM, Zeadally S. LoRaWAN-based smart water management IoT applications: a review. Journal of Information and Telecommunication. 2025:1-27.

[35] Mrabet H, Belguith S, Alhomoud A, Jemai A. A survey of IoT security based on a layered architecture of sensing and data analysis. Sensors. 2020; 20(13):1-19.

[36] Farhat A, Guyeux C, Makhoul A, Jaber A, Tawil R, Hijazi A. Impacts of wireless sensor networks strategies and topologies on prognostics and health management. Journal of Intelligent Manufacturing. 2019; 30(5):2129-55.

[37] Nguyen PD, Kim LW. Sensor system: a survey of sensor type, ad hoc network topology and energy harvesting techniques. Electronics. 2021; 10(2):1-20.

[38] Wang J, Bao Z, Yang Y. Design of power monitoring system on smart hotel. In 10th international symposium on computational intelligence and design (ISCID) 2017 (pp. 312-5). IEEE.

[39] Sudhakar AJ, Saikrishnan S, KG AD, Ganesh J. Integrating IoT for enhanced safety and hospitality in smart hotel management. In 2nd international conference on sustainable computing and smart systems (ICSCSS) 2024 (pp. 391-9). IEEE.

[40] Hassan MY, Mahdi AJ, Al-sharhanee KA, Ayad M, Shutnan WA, Najim AH. Designing a prototype smart hotel with high security, solar tracking, and IoT lighting control. In international conference on engineering applied and nano sciences (ICEANS) 2023 (pp. 38-43). IEEE.

[41] Li Q, Koo C, Lu L, Han J. A real-time management system for the indoor environmental quality and energy efficiency in a hotel guestroom. International Journal of RF Technologies. 2020; 11(2):109-25.

[42] Hassan SA, Eassa AM. SHMIS: an integrated IoT context awareness framework for hotel management to enhance guest experience and operational efficiency. Information Technology & Tourism. 2025:1-34.

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