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Robust home automation scheme using cognitive ZigBee network

Robust home automation scheme using cognitive ZigBee network

Hasan, Md Mehedi and Arshad, Kamran (2013) Robust home automation scheme using cognitive ZigBee network. In: 2013 20th International Conference on Telecommunications (ICT). Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA. ISBN 9781467364256 (doi:

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ZigBee is a low-power, short range wireless technology for machine to machine communications and uses the IEEE802.15.4 standard. ZigBee networks are being widely used in applications such as home automation, automatic meter reading systems, sensor networks and home security systems. The orphan node problem is a well-known problem in ZigBee networks. In this paper, we develop a protocol to address the orphan node problem by integrating the concept of cognitive ZigBee nodes that are able to self-configure. Our proposed scheme works by quickly eliminating the failed nodes and then self-configuring the network in order to reconnect the orphan nodes in a cognitive manner. We evaluated the performance of our proposed scheme by conducting experiments at the Mobile and Wireless Research Laboratory (MWRL) based at the University of Greenwich.

Item Type: Conference Proceedings
Title of Proceedings: 2013 20th International Conference on Telecommunications (ICT)
Additional Information: [1] This paper was first presented at the 2013 20th International Conference onTelecommunications (ICT) held from 6-8 May 2013 in Casablanca, Morocco.
Uncontrolled Keywords: home automation, IEEE 802.15 standards, light emitting diodes, wireless communication, wireless sensor networks, Zigbee
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Mobile & Wireless Communications Research Laboratory
Related URLs:
Last Modified: 14 Oct 2016 09:27
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

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