Abstract
The Internet of Things (IoT) networks using Zigbee are very popular in smart homes. However, Zigbee networks are vulnerable to the interference of Wi-Fi networks because they share the same 2.4 GHz Industrial, Scientific, and Medical (ISM) radio frequency band. Studies have shown that weaker Zigbee signals might be significantly interfered by stronger Wi-Fi signals. This type of interference may cause severe problems when these types of networks coexist in an indoor environment such as in a smart home. In this paper, the performance of a Zigbee network with and without the presence of Wi-Fi interference traffic has been evaluated in an apartment-based indoor environment mimicking a smart home. The experimental results were obtained and analyzed in terms of packet drop rate (PDR), received signal strength indicator (RSSI), and throughput under various operating channels, distances between Zigbee and Wi-Fi devices, transmission intervals of Zigbee packets, transmit power of Zigbee transmitter, and Zigbee packet lengths.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
De Nardis L, Di Benedetto M (2007) Overview of the IEEE 802.15.4/4a standards for low data rate wireless personal data networks. In: 2007 4th workshop on positioning, navigation and communication, Hannover, pp 285–289. https://doi.org/10.1109/WPNC.2007.353647
Thonet G, Allard-Jacquin P, Colle P (2008) ZigBee - WiFi coexistence: white paper and test report. Technical report, Schneider Electrics
Yang G, Yu Y (2009) ZigBee networks performance under WLAN 802.11b/g interference. In: 2009 4th international symposium on wireless pervasive computing, Melbourne, VIC, pp 1–4. https://doi.org/10.1109/ISWPC.2009.4800615
Incel OD, Dulman S, Jansen P, Mullender S (2006) Multi-channel interference measurements for wireless sensor networks. In: Proceedings. 2006 31st IEEE conference on local computer networks, Tampa, FL, pp 694–701. https://doi.org/10.1109/LCN.2006.322179.
Abrignani MD, Buratti C, Frost L, Verdone R (2014) Testing the impact of Wi-Fi interference on Zigbee networks. In: 2014 Euro Med Telco Conference (EMTC), Naples, pp 1–6. https://doi.org/10.1109/EMTC.2014.6996634
Khan S, Krishnan TSS, Kothari S, Ebenezer J, Madhusoodanan K, Murty SAVS (2016) Interference study in adjacent and alternate channels of IEEE 802.15.4 spectrum. In: 2016 international conference on wireless communications, signal processing and networking (WiSPNET), Chennai, pp 391–395. https://doi.org/10.1109/WiSPNET.2016.7566162
Sherazi HHR, Iqbal R, Ul Hassan S, Chaudary MH, Gilani SA (2016) ZigBee’s received signal strength and latency evaluation under varying environments. J Comput Netw Commun 5. https://doi.org/10.1155/2016/9409402
Nomura K, Sato F (2014) A performance study of ZigBee network under Wi-Fi interference. In: 2014 17th International Conference on Network-Based Information Systems, Salerno, pp 201–207. https://doi.org/10.1109/NBiS.2014.86
Jacob S, Ravi P (2015) Enabling coexistence of ZigBee and WiFi. Commun Appl Electron 2(6):28–34. Published by Foundation of Computer Science (FCS), NY, USA. https://doi.org/10.5120/cae2015651788
Liang C-JM, Priyantha NB, Liu J, Terzis A (2010). Surviving wi-fi interference in low power ZigBee networks. In: Proceedings of the 8th ACM conference on embedded networked sensor systems - SenSys ’10. https://doi.org/10.1145/1869983.1870014
Wang X, Yang K (2017) A real-life experimental investigation of cross interference between WiFi and ZigBee in indoor environment. In: 2017 IEEE international conference on Internet of Things (iThings) and IEEE green computing and communications (GreenCom) and IEEE cyber, physical and social computing (CPSCom) and IEEE smart data (SmartData), Exeter, pp 598–603. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.94
Leugner S, Hellbrück H (2019) eNAV - Enhanced Co-Existence of IEEE 802.15.4 and IEEE 802.11. In: 2019 IEEE international symposium on local and metropolitan area networks (LANMAN), Paris, France, pp 1–6. https://doi.org/10.1109/LANMAN.2019.8847147
Won C, Youn J-H, Ali H, Sharif H, Deogun J (2005) Adaptive radio channel allocation for supporting coexistence of 802.15.4 and 802.11b. In: VTC-2005-Fall. 2005 IEEE 62nd vehicular technology conference, 2005, Dallas, TX, USA, pp 2522–2526. https://doi.org/10.1109/VETECF.2005.1559004
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dash, B.K., Peng, J. (2022). Performance Study of Zigbee Networks in an Apartment-Based Indoor Environment. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 216. Springer, Singapore. https://doi.org/10.1007/978-981-16-1781-2_42
Download citation
DOI: https://doi.org/10.1007/978-981-16-1781-2_42
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-1780-5
Online ISBN: 978-981-16-1781-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)