TY - GEN
T1 - Network Time Connectivity for Wireless Networks
AU - Zhou, Baofeng
AU - Vuran, Mehmet C.
N1 - Funding Information:
This work is supported by NSF grants CNS-1423379 and CNS-1619285.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - In this paper, a novel concept of time connectivity is devised to evaluate the quality of network-level synchronization. The time connectivity is defined analogously to communication connectivity. To facilitate time connectivity analysis for wireless networks, a probabilistic synchronization model is developed for pre-synchronization and post-synchronization scenarios to evaluate synchronization performance. By utilizing recent results on stochastic geometry and percolation theory, time connectivity is transformed into the two-dimensional space for network-level analysis. Notably, the network time connectivity is investigated in two network schemes: partial-coverage and out-of-coverage. Extensive simulations are conducted to evaluate the time connectivity framework. To the best of our knowledge, this is the first paper that incorporates stochastic geometry and percolation theory to study the performance of network-level synchronization.
AB - In this paper, a novel concept of time connectivity is devised to evaluate the quality of network-level synchronization. The time connectivity is defined analogously to communication connectivity. To facilitate time connectivity analysis for wireless networks, a probabilistic synchronization model is developed for pre-synchronization and post-synchronization scenarios to evaluate synchronization performance. By utilizing recent results on stochastic geometry and percolation theory, time connectivity is transformed into the two-dimensional space for network-level analysis. Notably, the network time connectivity is investigated in two network schemes: partial-coverage and out-of-coverage. Extensive simulations are conducted to evaluate the time connectivity framework. To the best of our knowledge, this is the first paper that incorporates stochastic geometry and percolation theory to study the performance of network-level synchronization.
UR - http://www.scopus.com/inward/record.url?scp=85083445100&partnerID=8YFLogxK
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U2 - 10.1109/ICNC47757.2020.9049709
DO - 10.1109/ICNC47757.2020.9049709
M3 - Conference contribution
AN - SCOPUS:85083445100
T3 - 2020 International Conference on Computing, Networking and Communications, ICNC 2020
SP - 1002
EP - 1008
BT - 2020 International Conference on Computing, Networking and Communications, ICNC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computing, Networking and Communications, ICNC 2020
Y2 - 17 February 2020 through 20 February 2020
ER -