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Towards An Adaptive Time-Triggered Protocol in Wireless Networks



Jin Zhang, Fan Liang, Wei Yu, David W. Griffith, Wenqi Guo, Avi Gopstein


Time sensitive activities occur extensively in industrial Internet of Things (IoT) environments. Classical time-triggered protocols in wired networks, such as Ethernet, have been proven effective in supporting real-time and safety-critical communications. Along with the increasing use of wireless devices, designing wireless network protocols that handle the delivery of time-sensitive activities becomes an important issue. Unlike the Time-Triggered Ethernet (TTE) protocol designed for wired networks, a time-triggered protocol tailored to wireless networks faces a number of barriers, such as unstable data transmission under high radio interference, high bit error rate, and limited computation and storage capabilities on IoT devices. In this paper, we introduce an Adaptive Time-Triggered Protocol (ATTP) for wireless networks. In particular, we design a dynamic repetition scheme that transmits replicated copies of one time-triggered data packet to ensure the reliability and low latency of data transmission. To minimize the overhead raised by the replication of packets, we dynamically select the necessary number of replicated copies according to the instantaneous quality of the connection link. To effectively utilize wireless resources, we also design a multi-class traffic scheduling scheme to handle three traffic types, time-triggered (TT) traffic that requires an absolute latency guarantee, event-triggered (ET) traffic that requires a relatively low latency guarantee, and best-effort (BE) traffic without any latency guarantee requirement. Via an extensive simulation study, we validate the effectiveness of our approach, achieving expected performance for time-triggered traffic with respect to latency, packet loss ratio, and overhead reduction.
Conference Dates
October 18-21, 2021
Conference Location
Atlanta, GA, US
Conference Title
2021 IEEE Smart World Congress


Wireless networks, Time-Triggered Protocols, Time Sensitive Traffic, Real-time Communication, Self-adaptive system, IoT, LTE/LTE-A


Zhang, J. , Liang, F. , Yu, W. , Griffith, D. , Guo, W. and Gopstein, A. (2021), Towards An Adaptive Time-Triggered Protocol in Wireless Networks, 2021 IEEE Smart World Congress, Atlanta, GA, US, [online],, (Accessed April 15, 2024)
Created October 19, 2021, Updated November 29, 2022