Codecast: Supporting Data Driven In-Network Processing for Low-Power Wireless Sensor Networks

2018 ◽  
Author(s):  
Mobashir Mohammad ◽  
Mun Choon Chan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Power ◽  
Data Driven ◽  
Wireless Sensor ◽  
Network Processing

Highly Integrated Ultra-Low Power RF Transceivers for Wireless Sensor Networks

2018 ◽  
pp. 14-1-14-23
Author(s):  
Brian P. Otis ◽  
Yuen Hui Chee ◽  
Richard Lu ◽  
Nathan M. Pletcher ◽  
Jan M. Rabaey ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Power ◽  
Wireless Sensor ◽  
Ultra Low Power ◽  
Rf Transceivers

scholarly journals Low-Power Scan Correlation-Aware Scan Cluster Reordering for Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6111
Author(s):  
Sangjun Lee ◽  
Kyunghwan Cho ◽  
Jihye Kim ◽  
Jongho Park ◽  
Inhwan Lee ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Power ◽  
Power Reduction ◽  
Wireless Sensor ◽  
Computational Time ◽  
Test Power ◽  
Significant Power ◽  
Highly Correlated ◽  
Scan Chain

Cryptographic circuits generally are used for applications of wireless sensor networks to ensure security and must be tested in a manufacturing process to guarantee their quality. Therefore, a scan architecture is widely used for testing the circuits in the manufacturing test to improve testability. However, during scan testing, test-power consumption becomes more serious as the number of transistors and the complexity of chips increase. Hence, the scan chain reordering method is widely applied in a low-power architecture because of its ability to achieve high power reduction with a simple architecture. However, achieving a significant power reduction without excessive computational time remains challenging. In this paper, a novel scan correlation-aware scan cluster reordering is proposed to solve this problem. The proposed method uses a new scan correlation-aware clustering in order to place highly correlated scan cells adjacent to each other. The experimental results demonstrate that the proposed method achieves a significant power reduction with a relatively fast computational time compared with previous methods. Therefore, by improving the reliability of cryptography circuits in wireless sensor networks (WSNs) through significant test-power reduction, the proposed method can ensure the security and integrity of information in WSNs.

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