TY - GEN
T1 - General Design of a Power-Saving Strategy for a Collaborative Wireless Sensor Network
AU - Cespedes-Deliyore, Randy
AU - Ruiz-Barquero, Anibal
AU - Garita, Cesar
AU - Ortiz, Giannina
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Structural Health Monitoring (SHM) is a field in which nodes with low power consumption in a wireless sensor network present clear advantages regarding deployability and maintainability. This work presents a general design proposal for a power-saving strategy for a collaborative network used in SHM. This strategy includes; code profiling recommendations, CPU Load measurements, and voltage-current measurements for an instruction-level optimization approach. This strategy increases the battery autonomy of the network nodes up to 586% with LoRa communication and Dynamic Power Management, considering three hours and 31 minutes as a baseline, achieving up to twenty-three hours and 45 minutes; moreover, it can reduce the mean power utilization by 11.81% in masters devices which for this work are called primary devices and 39.52 % for slaves devices, treated as the secondary ones. Furthermore, some significant results for CPU utilization reduction are presented, as well as identifying some areas of interest for future improvements.
AB - Structural Health Monitoring (SHM) is a field in which nodes with low power consumption in a wireless sensor network present clear advantages regarding deployability and maintainability. This work presents a general design proposal for a power-saving strategy for a collaborative network used in SHM. This strategy includes; code profiling recommendations, CPU Load measurements, and voltage-current measurements for an instruction-level optimization approach. This strategy increases the battery autonomy of the network nodes up to 586% with LoRa communication and Dynamic Power Management, considering three hours and 31 minutes as a baseline, achieving up to twenty-three hours and 45 minutes; moreover, it can reduce the mean power utilization by 11.81% in masters devices which for this work are called primary devices and 39.52 % for slaves devices, treated as the secondary ones. Furthermore, some significant results for CPU utilization reduction are presented, as well as identifying some areas of interest for future improvements.
KW - collaborative
KW - Power
KW - profiling
KW - reduction
KW - wireless
UR - http://www.scopus.com/inward/record.url?scp=85146623063&partnerID=8YFLogxK
U2 - 10.1109/CONCAPAN48024.2022.9997731
DO - 10.1109/CONCAPAN48024.2022.9997731
M3 - Contribución a la conferencia
AN - SCOPUS:85146623063
T3 - Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022
BT - Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 40th IEEE Central America and Panama Convention, CONCAPAN 2022
Y2 - 9 November 2022 through 12 November 2022
ER -