TY - GEN
T1 - Optimal transmission thresholds for QoS guarantees in WSNs
AU - Romo-Montiel, Edgar
AU - Rubino, Gerardo
AU - Eduardo, Mario
AU - Menchaca-Méndez, Ricardo
AU - Molina-Lozano, Herón
AU - Menchaca-Méndez, Rolando
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/10/25
Y1 - 2018/10/25
N2 - In Wireless Sensor Networks (WSNs), each node typically transmits several control and data packets in a contention fashion to the sink. In this work, we mathematically analyze and study three unscheduled transmission schemes for control packets in a cluster-based architecture named Fixed Scheme (FS), Adaptive by Estimation Scheme (AES) and Adaptive by Gamma Scheme (AGS), in order to offer QoS guarantees in terms of system lifetime (related to energy consumption) and reporting delay (related to cluster formation delay). In the literature, different adaptive schemes have been proposed, and also there is research about the appropriate value selection of the transmission probability for the cluster formation. However, it largely overlooked the minimum and maximum values for the transmission probability that entails the best performance. Based on the numerical results, we show that the threshold values are just as important in the system design as the actual value of the transmission probability in adaptive schemes (AES and AGS), to achieve QoS guarantees.
AB - In Wireless Sensor Networks (WSNs), each node typically transmits several control and data packets in a contention fashion to the sink. In this work, we mathematically analyze and study three unscheduled transmission schemes for control packets in a cluster-based architecture named Fixed Scheme (FS), Adaptive by Estimation Scheme (AES) and Adaptive by Gamma Scheme (AGS), in order to offer QoS guarantees in terms of system lifetime (related to energy consumption) and reporting delay (related to cluster formation delay). In the literature, different adaptive schemes have been proposed, and also there is research about the appropriate value selection of the transmission probability for the cluster formation. However, it largely overlooked the minimum and maximum values for the transmission probability that entails the best performance. Based on the numerical results, we show that the threshold values are just as important in the system design as the actual value of the transmission probability in adaptive schemes (AES and AGS), to achieve QoS guarantees.
KW - Model
KW - QoS
KW - Transmission
KW - WSNs
UR - http://www.scopus.com/inward/record.url?scp=85058236233&partnerID=8YFLogxK
U2 - 10.1145/3267129.3267137
DO - 10.1145/3267129.3267137
M3 - Contribución a la conferencia
AN - SCOPUS:85058236233
T3 - Q2SWinet 2018 - Proceedings of the 14th ACM International Symposium on QoS and Security for Wireless and Mobile Networks
SP - 108
EP - 115
BT - Q2SWinet 2018 - Proceedings of the 14th ACM International Symposium on QoS and Security for Wireless and Mobile Networks
PB - Association for Computing Machinery, Inc
T2 - 14th ACM International Symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet 2018
Y2 - 28 October 2018 through 2 November 2018
ER -