Linking information and energy—activity-based energy-aware information processing

We present an activity-based framework that links information and energy. The activity-based framework uses a quantization-based approach for modeling information processing and defines weighted activity to model the energy consumption of information processing. We provide a formal description of this framework and use simulation to show how it enables one to study the interaction between information and energy in energy-aware information processing. An existing discrete event system specification (DEVS)-based simulation environment, DEVS-FIRE, is employed to model wireless sensor nodes for detecting and monitoring wildfires. Simulation experimental results confirm the utility of the activity-based framework to support the analysis and design of energy-aware information processing systems.

[1]  Xiaolin Hu,et al.  DEVS-FIRE: design and application of formal discrete event wildfire spread and suppression models , 2012, Simul..

[2]  Mani Srivastava,et al.  Energy-aware wireless sensor networks , 2002 .

[3]  Jean François Santucci,et al.  Discrete Event Modeling and Simulation of Wireless Sensor Network Performance , 2008, Simul..

[4]  Bernard P. Zeigler,et al.  Multilevel methodology for simulation of spatio-temporal systems with heterogeneous activity: application to spread of valley fever fungus , 2008 .

[5]  C. E. Van Wagner,et al.  Height of Crown Scorch in Forest Fires , 1973 .

[6]  Anantha Chandrakasan,et al.  Dynamic Power Management in Wireless Sensor Networks , 2001, IEEE Des. Test Comput..

[7]  Xiaolin Hu,et al.  DEVS-FIRE: Towards an Integrated Simulation Environment for Surface Wildfire Spread and Containment , 2008, Simul..

[8]  Bruce H. Krogh,et al.  Energy-efficient surveillance system using wireless sensor networks , 2004, MobiSys '04.

[9]  Jean François Santucci,et al.  Performance of a Protected Wireless Sensor Network in a Fire. Analysis of Fire Spread and Data Transmission , 2009, Sensors.

[10]  Xiaolin Hu,et al.  DEVS-on-a-chip: implementing DEVS in real-time Java on a tiny Internet interface for scalable factory automation , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[11]  Bernard P. Zeigler,et al.  Theory of modeling and simulation , 1976 .

[12]  Bernard P. Zeigler,et al.  The Activity-tracking paradigm in discrete-event modeling and simulation: The case of spatially continuous distributed systems , 2011, Simul..

[13]  Mani Srivastava,et al.  Energy-aware wireless microsensor networks , 2002, IEEE Signal Process. Mag..

[14]  Bernard P. Zeigler,et al.  Continuity and Change (Activity) Are Fundamentally Related in DEVS Simulation of Continuous Systems , 2004, AIS.