Ambulatory wireless sensor network power management using constrained explicit generalised predictive control |
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Authors: | K. Witheephanich J.M. Escaño M.J. Hayes |
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Affiliation: | 1. Wireless Access Research Centre, Department of Electronic and Computer Engineering , University of Limerick , Limerick, Ireland kritchai.witheephanich@ul.ie;3. Escuela Superior de Ingenieros, Departamento de Sistemas y Automática , Universidad de Sevilla , Sevilla, Spain;4. Wireless Access Research Centre, Department of Electronic and Computer Engineering , University of Limerick , Limerick, Ireland |
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Abstract: | 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. |
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Keywords: | IEEE 802.15.4 wireless sensor networks (WSNs) explicit generalised predictive control (GPC) transmit power control |
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