Combined Data Rate and Energy Management in Wireless Sensor Networks with Energy Harvesting Capability

We consider the combined energy management and rate control problem in wireless sensor networks (WSNs) with energy harvesting (EH) capability. In our previous work, we have established that the energy management problem can be viewed as a queue control problem, where the objective is to control the energy queue to a reference level based on predictions of energy to be harvested. In this work, we consider the problem of controlling both the energy and the data queue. The energy queue is controlled by adjusting the capacity of the data queue, while the data queue is controlled by adjusting the advertised rate at the network users which are assumed to be compliant with and without delay. We assume linear models of the data and energy queues and controllers are derived respectively. We demonstrate that the rate control problem, in the presence of a well controlled energy queue, can be reduced to a queue control problem with varying link capacity and we discuss the design options emanating from such a consideration. The stability of the combined control policy is established analytically. Further, we consider an arbitrary network case and we address global stability problem in the case of time varying capacity as a result of the energy variations.

[1]  Koushik Kar,et al.  Utility Maximizing Node Activation Policies in Networks of Partially Rechargeable Sensors , 2005 .

[2]  Neeraj Jaggi,et al.  An adaptive algorithm for sensor activation in renewable energy based sensor systems , 2009, 2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

[3]  Pramod Viswanath,et al.  Information capacity of energy harvesting sensor nodes , 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

[4]  Trong Nhan Le,et al.  Wind Energy Harvesting for Autonomous Wireless Sensor Networks , 2016, 2016 Euromicro Conference on Digital System Design (DSD).

[5]  Wessam Ajib,et al.  Adaptive transmitter load size using receiver harvested energy prediction by Kalman filter , 2016, 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP).

[6]  Hassaan Khaliq Qureshi,et al.  ASIM: Solar Energy Availability Model for Wireless Sensor Networks , 2015, ENSsys@SenSys.

[7]  Younghwan Yoo,et al.  Adaptive Control of the Packet Transmission Period with Solar Energy Harvesting Prediction in Wireless Sensor Networks , 2015, Sensors.

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

[9]  Petros A. Ioannou,et al.  Robust Adaptive Control , 2012 .

[10]  Emilia Fridman,et al.  Introduction to Time-Delay Systems: Analysis and Control , 2014 .

[11]  Tengyue Zou,et al.  Energy-Efficient Control with Harvesting Predictions for Solar-Powered Wireless Sensor Networks , 2016, Sensors.

[12]  Koushik Kar,et al.  Rechargeable sensor activation under temporally correlated events , 2009, Wirel. Networks.

[13]  Honggang Wang,et al.  Power management in SMAC-based energy-harvesting wireless sensor networks using queuing analysis , 2013, J. Netw. Comput. Appl..

[14]  Michalis A. Michael,et al.  Linear static parametric models for online parameter identification of power load models , 2017, 2017 IEEE Manchester PowerTech.

[15]  Hassaan Khaliq Qureshi,et al.  Active energy management for harvesting enabled wireless sensor networks , 2017, 2017 13th Annual Conference on Wireless On-demand Network Systems and Services (WONS).

[16]  C. E. Koksal,et al.  Near Optimal Power and Rate Control of Multi-Hop Sensor Networks With Energy Replenishment: Basic Limitations With Finite Energy and Data Storage , 2012, IEEE Transactions on Automatic Control.