TY - GEN
T1 - CRAM
T2 - 16th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2020
AU - Ahmar, Absar Ul Haque
AU - Aras, Emekcan
AU - Nguyen, Thien Duc
AU - Michiels, Sam
AU - Joosen, Wouter
AU - Hughes, Danny
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - Low power wide area networks (LPWANs) are being applied in many Internet of Things applications around the globe. These technologies offer economic coverage of wide areas, while retaining low power operation. LoRaWAN is a key technology in this space, with a world-wide presence and millions of devices deployed in the field. Despite this early success, recent research has shown that LoRa performs poorly in dense deployments with a high degree of contention. Furthermore, LoRa is not robust against selective jamming attacks. In this paper, we propose CRAM: a cryptographic frequency hopping MAC protocol designed for the LoRa physical layer that reduces contention by fairly exploiting all available frequency space, while making it significantly more difficult to perform selective jamming. Our evaluation shows that CRAM significantly reduces contention, thereby dramatically increasing scalability and reliability in comparison to the standard LoRa protocol.
AB - Low power wide area networks (LPWANs) are being applied in many Internet of Things applications around the globe. These technologies offer economic coverage of wide areas, while retaining low power operation. LoRaWAN is a key technology in this space, with a world-wide presence and millions of devices deployed in the field. Despite this early success, recent research has shown that LoRa performs poorly in dense deployments with a high degree of contention. Furthermore, LoRa is not robust against selective jamming attacks. In this paper, we propose CRAM: a cryptographic frequency hopping MAC protocol designed for the LoRa physical layer that reduces contention by fairly exploiting all available frequency space, while making it significantly more difficult to perform selective jamming. Our evaluation shows that CRAM significantly reduces contention, thereby dramatically increasing scalability and reliability in comparison to the standard LoRa protocol.
KW - Internet of Things (IoT)
KW - LoRa
KW - Low Power Wide Area Networks (LPWAN)
KW - Medium Access Control (MAC)
KW - Time Synchronized Channel Hopping (TSCH)
UR - http://www.scopus.com/inward/record.url?scp=85091774320&partnerID=8YFLogxK
U2 - 10.1109/DCOSS49796.2020.00026
DO - 10.1109/DCOSS49796.2020.00026
M3 - Conference contribution
AN - SCOPUS:85091774320
T3 - Proceedings - 16th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2020
SP - 95
EP - 102
BT - Proceedings - 16th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 June 2020 through 17 June 2020
ER -
