TY - JOUR
T1 - Ambulatory wireless sensor network power management using constrained explicit generalised predictive control
AU - Witheephanich, K.
AU - Escano, J. M.
AU - Hayes, M. J.
PY - 2011/8
Y1 - 2011/8
N2 - This work considers the problem of controlling transmit power within a wireless sensor network (WSN), where the practical constraints typically posed by an ambulatory healthcare setting are explicitly taken into account, as a constrained received signal strength indicator (RSSI) tracking control problem. The problem is formulated using an explicit generalised predictive control (GPC) strategy for dynamic transmission power control that ensures a balance between energy consumption and quality of service (QoS) through the creation of a stable floor on information throughput. Optimal power assignment is achieved by an explicit solution of the constrained GPC problem that is computed off-line using a multi-parametric quadratic program (mpQP). The solution is shown to be a piecewise-affine function. The new design is demonstrated to be practically feasible via a resource-constrained, fully IEEE 802.15.4 compliant, Moteiv's Tmote Sky sensor node platform. Design utility is benchmarked experimentally using a representative selection of scaled ambulatory scenarios.
AB - This work considers the problem of controlling transmit power within a wireless sensor network (WSN), where the practical constraints typically posed by an ambulatory healthcare setting are explicitly taken into account, as a constrained received signal strength indicator (RSSI) tracking control problem. The problem is formulated using an explicit generalised predictive control (GPC) strategy for dynamic transmission power control that ensures a balance between energy consumption and quality of service (QoS) through the creation of a stable floor on information throughput. Optimal power assignment is achieved by an explicit solution of the constrained GPC problem that is computed off-line using a multi-parametric quadratic program (mpQP). The solution is shown to be a piecewise-affine function. The new design is demonstrated to be practically feasible via a resource-constrained, fully IEEE 802.15.4 compliant, Moteiv's Tmote Sky sensor node platform. Design utility is benchmarked experimentally using a representative selection of scaled ambulatory scenarios.
KW - explicit generalised predictive control (GPC)
KW - IEEE 802.15.4 wireless sensor networks (WSNs)
KW - transmit power control
UR - http://www.scopus.com/inward/record.url?scp=80052325326&partnerID=8YFLogxK
U2 - 10.1080/00207179.2011.605909
DO - 10.1080/00207179.2011.605909
M3 - Article
AN - SCOPUS:80052325326
SN - 0020-7179
VL - 84
SP - 1450
EP - 1466
JO - International Journal of Control
JF - International Journal of Control
IS - 8
ER -