ZigBee and Wi-Fi Co-existence

In this work, we design a simple yet effective error recovery code that uses XOR code to minimize delay and uses RSSI-hinted approach to detect in-packet corruptions without CRC. We take a different view from traditional approaches that burstiness may be helpful. With burstiness, the requirement is reduced as “recovering any k consecutive errors”.

The work appears in IEEE Transactions on Mobile Computing (TMC) in 2017.

Tao Gu
Tao Gu
Professor in IoT
IEEE Fellow
AAIA Fellow
ACM Distinguished Member
Email: firstname dot lastname AT mq.edu.au
Phone: +61-2-9850-4357
Address: Room 267, 4 Research Park Drive, North Ryde, NSW 2109, Australia

My research interests include Internet of Things, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics.