Design, Implementation, and Performance Evaluation of a Flexible Low-Latency Nanowatt Wake-Up Radio Receiver PROJECT TITLE :Design, Implementation, and Performance Evaluation of a Flexible Low-Latency Nanowatt Wake-Up Radio ReceiverABSTRACT:Wireless sensor networks (WSNs) have received vital attention in recent years and have found a wide selection of applications, as well as structural and environmental monitoring, mobile health, home automation, Internet of Things, and others. As these systems are usually battery operated, major research efforts specialise in reducing power consumption, particularly for Communication, because the radio transceiver is one in every of the most power-hungry components of a WSN. Moreover, with the appearance of energy-neutral systems, the emphasis has shifted toward research in microwatt (or maybe nanowatt) Communication protocols or systems. A significant range of wake-up radio receiver (WUR) architectures are proposed to scale back the Communication power of WSN nodes. During this work, we have a tendency to gift an optimized ultra-low power (nanowatt) wake-up receiver for use in WSNs, designed with low-value off-the-shelf elements. The wake-up receiver achieves power consumption of 152 nW (with -thirty two dBm sensitivity), sensitivity up to -fifty five dBm (with maximum power of 1,a pair of μW), latency from eight μs, tunable frequency, and short commands Communication. Likewise, a coffee power answer, that includes addressing capability directly within the wake-up receiver, is proposed. Experimental results and simulations demonstrate low power consumption, functionality, and advantages of the design optimization compared with alternative solutions, and the advantages of addressing false positive (FP) outcomes reduction. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Demagnetizing Factors for a Hollow Sphere A Robust and Simple Measure for Quality-Guided 2D Phase Unwrapping Algorithms