Energy Sniffer

Topics: Potential energy, Mobile phone, Energy Pages: 27 (6068 words) Published: November 19, 2013
EnergySniffer: Home Energy Monitoring System using
Smart Phones
Mostafa Abdulla Uddin

Tamer Nadeem

Department of Computer Science
Old Dominion University

Department of Computer Science
Old Dominion University

muddin@cs.odu.edu

nadeem@cs.odu.edu

ABSTRACT
Tracking home energy usage for each individual running machine is a prerequisite for making energy conservation and management efficient. In order to meet the requirement for monitoring home energy consumption, several industries and researchers came up with different solutions. Unfortunately, all these solutions require expensive installation of sensor devices. Furthermore, many of these solutions can’t measure the energy consumption of individual machines. In this paper, we propose a simple and flexible home energy monitoring system using smart phones. We call our system EnergySniffer in which it exploits various sensors in smart phones to build a multi sensing framework. This framework is used to build a unique fingerprint profile for each individual machine at home. Unlike other systems, our system is flexible to support monitoring the energy consumption of individual machines. As proof of concept, we develop a simple sensing framework prototype that utilizes only the microphone sensor on the phone. We call this framework a sound sensing framework. In complete EnergySniffer system, multiple sensors (light, RF, Magnetic etc) are used to build the multi sensing framework. Experimental evaluation on sound sensing framework demonstrate the feasibility of continuously identifying individual machine in real-time almost accurately based on machines sound characteristics.

1.

INTRODUCTION

Home Energy is a large contributor (21%) to the total energy usage in USA. Our home energy usage also contributes in 22% of the total carbon emission. This trend of energy consumption will grow in future because of the more and more home appliances usage at our daily life. Usually, average household spends about $1300 a year for running these large numbers of different home appliances. In order to meet this large demand, the next generation "smart grid" needs to have the features of supplying energy based on consumers demand [12]. This supply based on demand approach will make energy usage more efficient. However, to meet this challenge, energy usage of the consumers needs to be monitored and to send it to the grid system or energy distribution system. In that way, the grid can act as a supply to the matching demand or will be able to let consumers know about energy stress situation to reduce their demand.

Home energy usage is a great concern to our current time. Several studies [10, 9] have shown that detailed energy monitoring system at

houses can built awareness among householders. Researchers and industries have developed such real time energy monitoring systems for household users [3, 4, 5, 11, 13, 17]. However, these systems require additional setup cost and have their own drawbacks. For example devices like TED [4] monitors the whole house energy consumption but does not provide energy consumption for each individual machine. On the other hand, Watts Up [5] can provide energy consumption for each machine but it requires additional inline installation between AC plug and outlets. In this paper, we propose a simple and flexible home energy monitoring system using smart phones. We call our system EnergySniffer in which it exploits various sensors in smart phones to detect running machines at home. The advantages of EnergySniffer system can be summarized as follows: First, it monitors energy usage for each individual machine. Second, it has very low overhead and also no new devices is needed to install or maintain. Third, very flexible in updating software and deploying new services using mobile application update system. In rest of this paper, we address all home appliances as machine and also we refer to electrical energy as energy. Now a days, smart phones have...


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[2] Emerson radio corporation web site., 2011.
[3] Energy monitoring technologies inc., 2011.
[4] Ted: The energy detective web site., 2011.
[5] Watts up? pro web site., 2011.
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billing and direct displays. http://www.eci.ox.ac.uk/
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