Modeling and Simulation of Smart and Green Computing Systems

IN THIS ISSUE The cover features in this special issue describe the latest advances in modeling and simulation of smart and green computing systems, which are critical to sustainable economic growth and environmental conservation in several application domains. In “Toward Uninterrupted Operation of Wireless Sensor Networks,” Swades De from the Indian Institute of Technology and Riya Singhal from Oracle address the challenge of wirelessly transferring radio frequency energy to nearby devices, thereby reducing the need for an operational battery. To increase energy efficiency, the RF energy transfer occurs over multiple hops, while the immediate neighbors always exchange the sensing data. The authors describe the analytical modeling of the conditions under which multihop energy transfer is viable and efficient. Such a network has a significant impact because it eliminates the need to periodically retrieve sensors for maintenance and battery replacement. In “Bond Graph Modeling for Energy-Harvesting Wireless Sensor Networks,” Prabhakar T. Venkata and his S ustainable and efficient utilization of available energy resources is perhaps the fundamental challenge of the 21st century. Academic and industrial communities have invested significant efforts in developing new solutions to address energy-efficiency challenges in several areas, including telecommunications, green buildings and cities, and the smart grid. Advanced modeling and simulation methodologies are an essential aspect of the comprehensive performance evaluation that precedes the costly prototyping activities required for complex, large-scale computing, control, and communication systems. Currently, there is increased interest in using a multipronged approach to find solutions to the energy problem, including alternative and renewable energy sources, communication and control systems to enable new green and Advanced modeling and simulation methodologies are an essential aspect of the comprehensive performance evaluation that precedes the costly prototyping activities required for complex, large-scale computing, control, and communication systems. Kaushik R. Chowdhury, Northeastern University, Boston