On-chip monitoring and compensation scheme with fine-grain body biasing for robust and energy-efficient operations

Author(s):  
A.K.M. Mahfuzul Islam ◽  
Hidetoshi Onodera
2010 ◽  
Vol 19 (07) ◽  
pp. 1449-1464 ◽  
Author(s):  
BYUNGHEE CHOI ◽  
YOUNGSOO SHIN

A reduced supply voltage must be accompanied by a reduced threshold voltage, which makes this approach to power saving susceptible to process variation in transistor parameters, as well as resulting in increased subthreshold leakage. While adaptive body biasing is efficient for both compensating process variation and suppressing leakage current, it suffers from a large overhead of control circuit. Most body biasing circuits target an entire chip, which causes excessive leakage of some blocks and misses the chance of fine grain control. We propose a new adaptive body biasing scheme, based on a lookup table for independent control of multiple functional blocks on a chip, which controls leakage and also compensates for process variation at the block level. An adaptive body bias is applied to blocks in active mode and a large reverse body bias is applied to blocks in standby mode. This is achieved by a central body bias controller, which has a low overhead in terms of area, delay, and power consumption. The problem of optimizing the required set of bias voltages is formulated and solved. A design methodology for semicustom design using standard-cell elements is developed and verified with benchmark circuits.


Author(s):  
Iasonas Filippopoulos ◽  
Iraklis Anagnostopoulos ◽  
Alexandros Bartzas ◽  
Dimitrios Soudris ◽  
George Economakos

2012 ◽  
Vol 24 (24) ◽  
pp. 2296-2299 ◽  
Author(s):  
Zheng Chen ◽  
Huaxi Gu ◽  
Yintang Yang ◽  
Ke Chen

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.


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