Design and Experimentation of a Large Scale Distributed Stochastic Control Algorithm Applied to Energy Management Problems

Wireless mesh networks (WMNs) are a promising networking paradigm for next generation wireless networking system. Power control plays a vital role in WMNs and is realized to be a crucial step toward large-scale WMNs deployment. In this paper, we address the problem of how to allocate the power for both optimizing quality of service (QoS) and saving the power consumption in WMNs based on the game theory. We first formulate the problem as a noncooperative game, in which the QoS attributes and the power of each node are defined as a utility function, and all the nodes attempt to maximize their own utility. In such game, we correlate all the interfering nodes to be an interfering object and the receiving node to be the interfering object's virtual destination node. We then present an equilibrium solution for the noncooperative game using Stackelberg model, and we propose an iterative, distributed power control algorithm for WMNs. Also, we conduct numeric experiments to evaluate the system performance, our results show that the proposed algorithm can balance nodes to share the limited network resources and maximize total utility, and thus it is efficient and effective for solving the power control problem in WMNs.

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Large Scale predictive analytics for real-time energy management

2013 IEEE International Conference on Big Data ◽

10.1109/bigdata.2013.6691635 ◽

2013 ◽

Cited By ~ 13

Author(s):

Natasha Balac ◽

Tamara Sipes ◽

Nicole Wolter ◽

Kenneth Nunes ◽

Bob Sinkovits ◽

...

Keyword(s):

Real Time ◽

Energy Management ◽

Large Scale ◽

Predictive Analytics

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Energy management in sensor networks

Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rsta.2011.0195 ◽

2012 ◽

Vol 370 (1958) ◽

pp. 52-67 ◽

Cited By ~ 10

Author(s):

John A. Stankovic ◽

Tian He

Keyword(s):

Energy Consumption ◽

Sensor Networks ◽

Energy Management ◽

Large Scale ◽

Energy Savings ◽

Time Synchronization ◽

Media Access Control ◽

Media Access ◽

Energy Aware ◽

Holistic View

This paper presents a holistic view of energy management in sensor networks. We first discuss hardware designs that support the life cycle of energy, namely: (i) energy harvesting, (ii) energy storage and (iii) energy consumption and control. Then, we discuss individual software designs that manage energy consumption in sensor networks. These energy-aware designs include media access control, routing, localization and time-synchronization. At the end of this paper, we present a case study of the VigilNet system to explain how to integrate various types of energy management techniques to achieve collaborative energy savings in a large-scale deployed military surveillance system.

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Modelling and control of a photovoltaic energy system with battery storage

Proceedings of the 6th International Workshop on Simulation for Energy, Sustainable Development & Environment (SESDE 2018) ◽

10.46354/i3m.2018.sesde.009 ◽

2018 ◽

Author(s):

Carlos Y. García-Ramos ◽

Jose M. González-Cava ◽

José F. Gómez González ◽

Sara González Pérez

Keyword(s):

Energy Management ◽

Control Algorithm ◽

Hotel Industry ◽

Energy System ◽

Energy Management System ◽

Battery Storage ◽

Photovoltaic Generation ◽

Renewable Power ◽

First Results ◽

And Control

"This work presents a simulated study of the energy management of an energy system connected to the grid with photovoltaic generation and battery storage. The work proposes a energy management system based on fuzzy logic. It is intended to be used in the hotel industry. The objective of the proposed controller is to maximise the renewable power source but including also economic criteria in the management. The proposal was implemented in simulation considering a 5,1kW peak photovoltaic installation and a set of batteries with a capacity of 384Ah. First results obtained show that the system achieves the specifications proposed. Thus, the study evidences the potential of the proposed control algorithm and demonstrate the suitability of the use of intelligent techniques for the energy management in hotels."

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