Paper Info
Title
Energy management for time-critical energy harvesting wireless sensor networks
Abstract
As Cyber-Physical Systems (CPSs) evolve they will be increasingly relied on to support time-critical monitoring and control activities. 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 effective 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) algorithms. 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 extensive simulations, we show that our algorithms yield significantly higher energy reserves than the approaches without speed and power control.
Year
DOI
Venue
2010
10.1007/978-3-642-16023-3_20
SSS
Keywords
Field
DocType
minimum energy reserve,balance system lifetime,control activity,wireless sensor network,power consumption,emergency situation,higher energy reserve,resilient performance,time-critical energy,system performance,energy management,important system class,power control,cyber physical systems,energy harvesting
Sensor node,Key distribution in wireless sensor networks,Energy management,Wireless,Computer science,Power control,Energy harvesting,Real-time computing,Wireless sensor network,Time critical,Distributed computing
Conference
Volume
ISSN
ISBN
6366
0302-9743
3-642-16022-0
Citations 
PageRank 
References 
12
0.59
14
Authors
3
Name
Order
Citations
PageRank
Bo Zhang1120.59
Robert Simon210712.76
Hakan Aydin3121861.97