Description:
Asynchronous wireless sensing
NJIT Docket # 15-040
Inventors: Joerg Kliewer, Wei Tang
Intellectual Property & Development status: US Patent Protection is pending.
NJIT is currently seeking commercial partners for the further development and commercialization of this opportunity.
Technology Brief:
Researchers at New Jersey Institute of Technology in the Department of Electrical and Computer Engineering have invented a low-complexity asynchronous wireless sensing and communication architecture for next generation low power wireless sensors, which reduces the power consumption by a large amount.
Wireless sensor networks employ spatially distributed autonomous sensors to monitor physical or environmental conditions. Today, wireless sensor networks have been widely used in many mobile and embedded systems. Wireless sensor networks are built of wireless sensor nodes. Each sensor node continuously senses an analog signal, converts the sensed signal into binary format digital data, and delivers the data wirelessly through radio transceivers to a processing device, such as a micro-controller. A limitation of such a wireless sensor is the high power consumption due to constant-interval sampling. Conventional synchronous sensor architectures with a constant sampling rate generate a large amount of null data and waste considerable energy when sensing a sparse signal. Moreover, current prevalent synchronous radio circuits only work with synchronous sensor front-end circuits. The invention seamlessly combines asynchronous sensing and asynchronous wireless communications and forms a complete asynchronous wireless sensing architecture that generates less data and is significantly more power efficient than synchronous sensor architectures.
Applications:
• Military and security surveillance
• Industry and machine inspection
• Construction and building examination
• Environment and health monitoring
Advantages:
• Generates less data
• Power efficient
• Simple
Inventors Bio:
Joerg Kliewer is an associate professor in the Helen and John C. Hartmann Department of Electrical and Computer Engineering at the New Jersey Institute of Technology. His current research interests include error correcting codes, network information theory, communication networks, secure communication, and applications of information theory in biology. He has served on numerous conference technical program committees. He was a member of the editorial board of the EURASIP Journal on Advances in Signal Processing from 2005-2008, an associate editor of the IEEE Transactions on Communications from 2008-2014, and is an area editor for the IEEE Transactions on Communications (Source-Channel Coding and Signal Processing Area) since 2015. He is also an Associate Editor of the IEEE Transactions on Information Theory since 2017 and a Senior Member of IEEE.