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Related Concept Videos

Maximum Power Transfer01:16

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Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
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Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
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Related Experiment Video

Updated: Dec 31, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Successive Interference Cancellation Based Throughput Optimization for Multi-Hop Wireless Rechargeable Sensor

Peng Zhang1,2, Xu Ding1,2, Juan Xu2

  • 1Institute of Industry and Equipment Technology, HeFei University of Technology, Hefei 230009, China.

Sensors (Basel, Switzerland)
|January 16, 2020
PubMed
Summary

This study enhances wireless rechargeable sensor networks by integrating Successive Interference Cancellation (SIC) to boost channel use and network lifespan. The research optimizes routing and power for SIC, significantly improving throughput and energy efficiency.

Keywords:
interference managementmulti-hop wireless networknetwork lifetimesuccessive interference cancellationwireless rechargeable sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) face performance bottlenecks due to low channel utilization and limited battery life.
  • Wireless Rechargeable Sensor Networks (WRSNs) present unique challenges as node power fluctuates with unknown flow rates, impacting technologies like Successive Interference Cancellation (SIC).

Purpose of the Study:

  • To improve channel utilization and extend network lifetime in multi-hop WRSNs.
  • To adapt SIC technology for WRSNs despite variable node power levels.
  • To maximize the mobile charger's vacation time within the rechargeable cycle.

Main Methods:

  • Constructing minimum energy routing and unifying transmit rates to establish consistent transmit power.
  • Developing a time scheduling scheme based on determined routing and power.
  • Formulating an optimization problem to maximize mobile charger idle time.

Main Results:

  • Achieved significantly higher throughput (180-450% increase compared to interference avoidance methods).
  • Demonstrated no additional transmit or receive energy consumption in multi-hop WRSNs.
  • Provided a near-optimal solution with proven feasible performance.

Conclusions:

  • The integration of SIC with optimized routing and power management effectively addresses WRSN limitations.
  • This approach substantially enhances network throughput and prolongs operational lifetime.
  • The proposed method offers a viable solution for efficient energy management in WRSNs.