Title
A Reconfigurable Hardware Accelerated Platform for Clustered Wireless Sensor Networks
Abstract
With the advent of the FPGA technology, a reconfigurable platform becomes possible to enhance the capability and adaptability of wireless sensor nodes while reducing the energy consumption. In this paper, we investigate the application of reconfigurable platform in wireless sensor networks. We focus on using hardware accelerated lossless compression to reduce the energy consumption of the data aggregation in clustered networks. Our study is based on real-world measurement on our integrated reconfigurable sensor node and the measured data is then used in the network simulation with a proper channel model. Our experiments show that the use of hardware acceleration on our platform can reduce the energy consumption by up to 35%. In addition, with proper parameters of the network, the run-time reconfiguration becomes beneficial and this opens a lot of opportunities for the optimizations according to the field situations.
Year
DOI
Venue
2012
10.1109/ICPADS.2012.74
ICPADS
Keywords
Field
DocType
clustered wireless sensor networks,wireless sensor networks,reconfigurable platform,reconfigurable hardware accelerated platform,wireless sensor nodes,hardware acceleration,compression,fpga technology,reconfiguration,wireless sensor network,data compression,reconfigurable architectures,energy,network simulation,integrated reconfigurable sensor node,measured data,fpga,energy consumption,proper channel model,wireless sensor node,field programmable gate arrays,cluster,hardware accelerated lossless compression,data aggregation,run-time reconfiguration
Sensor node,Key distribution in wireless sensor networks,Computer science,Network simulation,Real-time computing,Hardware acceleration,Mobile wireless sensor network,Energy consumption,Wireless sensor network,Reconfigurable computing,Embedded system
Conference
ISSN
ISBN
Citations 
1521-9097 E-ISBN : 978-0-7695-4903-3
978-0-7695-4903-3
2
PageRank 
References 
Authors
0.40
12
3
Name
Order
Citations
PageRank
Chih-Ming Hsieh1576.73
Zhonglei Wang212010.57
J. Henkel34471366.50