HReA: An Energy-Efficient Embedded Dynamically Reconfigurable Fabric for 13-Dwarfs Processing

2018 ◽  
Vol 65 (3) ◽  
pp. 381-385 ◽  
Author(s):  
Leibo Liu ◽  
Zhaoshi Li ◽  
Chen Yang ◽  
Chenchen Deng ◽  
Shouyi Yin ◽  
...  

IOT-enabled sensors have been deployed in the wide area to perform various applications. Information security is an important aspect in wireless sensor networks. Since the attackers can be able to hack the information even at the node level, improved security mechanism have to be implemented. In this paper, nodal level security is done through dynamic encryption technique. The advantage of dynamic encryption is achieved by adaptive security. The proposed method involves a system-on-chip (SoC) design to provide a dynamically reconfigurable encryption methodology which leads to improved security level and also the energy efficiency. Dynamic encryption creates the confusion among the hackers about the tracking of security keys. The results shows that by dynamically selecting the encryption module through soft-core processor based on the available power budget, an energy efficient security solution is obtained for sensor nodes with reduced resources utilization.


2017 ◽  
Vol 08 (05) ◽  
pp. 134-147
Author(s):  
Itaru Hida ◽  
Shinya Takamaeda-Yamazaki ◽  
Masayuki Ikebe ◽  
Masato Motomura ◽  
Tetsuya Asai

2007 ◽  
Vol 49 (3) ◽  
Author(s):  
Heiko Hinkelmann ◽  
Peter Zipf ◽  
Manfred Glesner ◽  
Thilo Pionteck

In this paper we will demonstrate that dynamically reconfigurable computing is the key technology to enable small and energy-efficient hardware platforms for wireless communication systems, which provide the flexibility needed for keeping up with evolving standards and protocols. Two application-specific dynamically reconfigurable systems for WLANs and wireless sensor networks will be presented. The first architecture clearly shows that highly dynamic reconfiguration approaches can provide flexible and high-performance hardware platforms that are smaller than standard ASIC solutions. The second architecture serves as a case study for the design of energy-efficient dynamically reconfigurable computing systems.


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