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Energy Management for Time-Critical Energy Harvesting Wireless Sensor Networks
 

Summary: Energy Management for Time-Critical Energy
Harvesting Wireless Sensor Networks
Bo Zhang, Robert Simon, and Hakan Aydin
Department of Computer Science
George Mason University, Fairfax, VA 22030
{bzhang3,simon,aydin}@cs.gmu.edu
Abstract. As Cyber-Physical Systems (CPSs) evolve they will be in-
creasingly relied on to support time-critical monitoring and control ac-
tivities. Further, many CPSs that utilize Wireless Sensor Networking
(WSN) technologies require energy harvesting methods to extend their
lifetimes. For this important system class, there are currently no effec-
tive approaches that balance system lifetime with system performance
under both normal and emergency situations. To address this problem,
we present a set of Harvesting Aware Speed Selection (HASS) algo-
rithms. We use an epoch-based architecture to dynamically adjust CPU
frequencies and radio transmit speeds of sensor nodes, hence regulate
their power consumption. The objective is to maximize the minimum
energy reserve over any node in the network, while meeting application's
end-to-end deadlines. Through this objective we ensures highly resilient
performance under emergency or fault-driven situation. Through exten-

  

Source: Aydin, Hakan - Department of Computer Science, George Mason University

 

Collections: Computer Technologies and Information Sciences; Engineering