TY - GEN
T1 - Stochastic performance trade-offs in the design of real-time wireless sensor networks
AU - Wang, Yunbo
AU - Vuran, Mehmet C.
AU - Goddard, Steve
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/26
Y1 - 2015/3/26
N2 - Future sensing applications call for a thorough evaluation of network performance trade-offs so that desired guarantees can be provided for the realization of real-time wireless sensor networks (WSNs). Recent studies provide insight into the performance metrics in terms of first-order statistics, e.g., the expected delay. However, WSNs are characterized by the stochastic nature of the wireless channel and the queuing processes, which result in non-deterministic delay, throughput, and network lifetime. For the design of WSNs with predictable performance, probabilistic analysis of these performance metrics and their intrinsic trade-offs is essential. Moreover, providing stochastic guarantees is crucial since each deployment may result in a different realization. In this paper, the trade-offs between delay, throughput, and lifetime are quantified through a stochastic network design approach. To this end, two novel probabilistic network design measures, quantité and quantite interval, are defined to capture the dependability and predictability of the performance metrics, respectively. Extensive evaluations are conducted to explore the performance trade-offs in real-time WSNs.
AB - Future sensing applications call for a thorough evaluation of network performance trade-offs so that desired guarantees can be provided for the realization of real-time wireless sensor networks (WSNs). Recent studies provide insight into the performance metrics in terms of first-order statistics, e.g., the expected delay. However, WSNs are characterized by the stochastic nature of the wireless channel and the queuing processes, which result in non-deterministic delay, throughput, and network lifetime. For the design of WSNs with predictable performance, probabilistic analysis of these performance metrics and their intrinsic trade-offs is essential. Moreover, providing stochastic guarantees is crucial since each deployment may result in a different realization. In this paper, the trade-offs between delay, throughput, and lifetime are quantified through a stochastic network design approach. To this end, two novel probabilistic network design measures, quantité and quantite interval, are defined to capture the dependability and predictability of the performance metrics, respectively. Extensive evaluations are conducted to explore the performance trade-offs in real-time WSNs.
UR - http://www.scopus.com/inward/record.url?scp=84928034829&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84928034829&partnerID=8YFLogxK
U2 - 10.1109/ICCNC.2015.7069471
DO - 10.1109/ICCNC.2015.7069471
M3 - Conference contribution
AN - SCOPUS:84928034829
T3 - 2015 International Conference on Computing, Networking and Communications, ICNC 2015
SP - 931
EP - 937
BT - 2015 International Conference on Computing, Networking and Communications, ICNC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 International Conference on Computing, Networking and Communications, ICNC 2015
Y2 - 16 February 2015 through 19 February 2015
ER -