Impact of Delay in ZigBee WSNs for Smart Home Applications

Naseem Kadhim Baqer

Department of Electrical Engineering, Faculty of Engineering, University of Kufa, Najaf, Iraq.

Yahya Jasim Harbi

Electrical and Electronics engineering Dept, College of Engineering, University of Kerbala, Kerbala, Iraq.

Heba Abdul-Jaleel Al-Asady *

Department of Electrical Engineering, Faculty of Engineering, University of Kufa, Najaf, Iraq and Department of Computer Technical Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq.

*Author to whom correspondence should be addressed.


Abstract

A smart home is a comprehensive integration system that employs technologies such as computers, structured wiring and network communication to interconnect indoor subsystems, home appliances and electrical devices. WSNs play a crucial role in the functionality of smart homes. In this study, the IEEE 802.15.4/ ZigBee wireless communication standard was applied. Compared to other wireless communication standards, it offers a number of benefits, such as low battery and power consumption. Delays in ZigBee-based WSNs used in smart homes can be attributed to various factors, including network configuration, routing efficiency, device availability, sensor reporting intervals and power management. By optimizing the network parameters of ZigBee-based WSNs with concomitant reduction in inherent delays, it is possible to enhance the performance and user experience of smart home systems. Furthermore, the influence of coordinators and routers on ZigBee-based WSN delays is thoroughly examined and discussed. The results indicate that while adding more sensors to the WSN produces an extra delay, by contrast, the addition of an extra coordinator reduces the delay. Finally, the presence of a router in the WSN does not have a large impact on the delay.

Keywords: Wireless sensor networks, zigbee, delay, riverbed modeler


How to Cite

Baqer, Naseem Kadhim, Yahya Jasim Harbi, and Heba Abdul-Jaleel Al-Asady. 2024. “Impact of Delay in ZigBee WSNs for Smart Home Applications”. Journal of Engineering Research and Reports 26 (8):372-80. https://doi.org/10.9734/jerr/2024/v26i81252.

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