Design and Implementation of a Predictive Control Strategy for Power Management of a Wireless Sensor Network

Technological advances have made wireless sensor nodes cheap and reliable enough to be brought into various application domains. The limited energy capacity of sensor nodes is the key factor that restricts their lifespan. In this paper, a Predictive Control strategy for Dynamic Power Management of a set of wireless sensor nodes is proposed. The control formulation is based on Model Predictive Control with constraints and binary optimization variables, leading to a Mixed Integer Quadratic Programming problem. The proposed control algorithm guarantees services and performances levels with a minimum number of active nodes and/or a minimum load on such components. The strategy is evaluated on a real test-bench with wireless sensor nodes equipped with batteries and harvesting systems. Experimental results show the effectiveness of the proposed control method.

[1]  Angelo Perkusich,et al.  Dynamic Power Management with Scheduled Switching Modes , 2008, Comput. Commun..

[2]  Jan Lunze,et al.  Handbook of hybrid systems control : theory, tools, applications , 2009 .

[3]  Robert L. Williams,et al.  Linear State-Space Control Systems , 2007 .

[4]  Marko Bacic,et al.  Model predictive control , 2003 .

[5]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[6]  Frank Allgöwer,et al.  Nonlinear Model Predictive Control , 2007 .

[7]  A. S. Vincentelli,et al.  Handbook of Hybrid Systems Control: Theory, Tools, Applications , 2011 .

[8]  Catherine Rosenberg,et al.  Homogeneous vs heterogeneous clustered sensor networks: a comparative study , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[9]  Giuseppe Anastasi,et al.  Energy management in wireless sensor networks with energy-hungry sensors , 2009 .

[10]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..

[11]  Xue Jun Li,et al.  Application of model predictive control in wireless sensor networks , 2011, 2011 8th International Conference on Information, Communications & Signal Processing.

[12]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[13]  Mani B. Srivastava,et al.  Emerging techniques for long lived wireless sensor networks , 2006, IEEE Communications Magazine.

[14]  Vinod Sharma,et al.  Optimal energy management policies for energy harvesting sensor nodes , 2008, IEEE Transactions on Wireless Communications.

[15]  Daniel E. Quevedo,et al.  Power Control and Coding Formulation for State Estimation With Wireless Sensors , 2013, IEEE Transactions on Control Systems Technology.

[16]  Shen Yan,et al.  Dynamic power management of wireless sensor networks based on grey model , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).

[18]  Eduardo F. Camacho,et al.  Fault-tolerant model predictive control , 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

[19]  Daniel E. Quevedo,et al.  Sparse Packetized Predictive Control for Networked Control Over Erasure Channels , 2013, IEEE Transactions on Automatic Control.

[20]  Jan M. Maciejowski,et al.  Predictive control : with constraints , 2002 .

[21]  Olesia Mokrenko,et al.  Dynamic power management in a wireless sensor network using predictive control , 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

[22]  Carlos Bordons Alba,et al.  Model Predictive Control , 2012 .

[23]  Thomas F. La Porta,et al.  Sensor-mission assignment in wireless sensor networks with energy harvesting , 2011, 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[24]  Vladimir Stojanovic,et al.  Energy-Aware Design of Compressed Sensing Systems for Wireless Sensors Under Performance and Reliability Constraints , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

[25]  Nagendra Prasad Mandru.  OPTIMAL POWER MANAGEMENT IN WIRELESS SENSOR NETWORKS FOR ENHANCED LIFE TIME , 2012 .

[26]  Maxime Louvel,et al.  LINC: A Compact Yet Powerful Coordination Environment , 2014, COORDINATION.

[27]  G. Martin,et al.  Nonlinear model predictive control , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[28]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[29]  Alberto Bemporad,et al.  Control of systems integrating logic, dynamics, and constraints , 1999, Autom..

[30]  M. Morari,et al.  Predictive Control of Constrained Hybrid Systems , 2000 .