TY - GEN
T1 - Poster abstract
T2 - 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020
AU - Shivaraman, Nitin
AU - Schuster, Patrick
AU - Ramanathan, Saravanan
AU - Easwaran, Arvind
AU - Steinhorst, Sebastian
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - Time synchronization is paramount for communication in Internet of Things (IoT) networks. Existing synchronization protocols in the IoT are designed to be accurate, energy-efficient and scalable with absolute trust on the time source(s). If a byzantine node becomes a time source, it can cause synchronization errors with false time, leading to system mal-functions or network crashes. In this paper, we introduce C-Sync: a clustering time synchronization protocol for decentralized IoT networks that incorporates resilience against byzantine nodes. We show that C-sync achieves a worst-case synchronization accuracy of a few tens of microseconds (μs).
AB - Time synchronization is paramount for communication in Internet of Things (IoT) networks. Existing synchronization protocols in the IoT are designed to be accurate, energy-efficient and scalable with absolute trust on the time source(s). If a byzantine node becomes a time source, it can cause synchronization errors with false time, leading to system mal-functions or network crashes. In this paper, we introduce C-Sync: a clustering time synchronization protocol for decentralized IoT networks that incorporates resilience against byzantine nodes. We show that C-sync achieves a worst-case synchronization accuracy of a few tens of microseconds (μs).
KW - Byzantine Faults
KW - Fault detection
KW - IoT
KW - Time synchronization
UR - http://www.scopus.com/inward/record.url?scp=85086904236&partnerID=8YFLogxK
U2 - 10.1109/IPSN48710.2020.00-20
DO - 10.1109/IPSN48710.2020.00-20
M3 - Conference contribution
AN - SCOPUS:85086904236
T3 - Proceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020
SP - 333
EP - 334
BT - Proceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 April 2020 through 24 April 2020
ER -