Energy Sniffer
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
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
References: [1] Android sdk web site., 2011. http: //developer.android.com/sdk/index.html. [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. Engineering, 2010. Nottingham, UK. billing and direct displays. http://www.eci.ox.ac.uk/ research/energy/electric-metering.php, 2002. ACM IPSN/SPOTS 2009, 2009. Technology, 16:582–589, 2002.