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Network of sensors: acquisition probability
1Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel. shlomi@ee.bgu.ac.il
Summary
This study introduces a novel sensor network communication system using optical wireless links. The system enables simultaneous sensor acquisition and identification, with performance influenced by matrix size and signal-to-noise ratios.
Area of Science:
- Electrical Engineering
- Computer Science
- Optical Communications
Background:
- Sensor networks are a key remote sensing technology.
- Optical wireless links offer efficient communication between sensors and a base station.
- Existing systems face challenges in simultaneous sensor acquisition and identification.
Purpose of the Study:
- To present a scheme for simultaneous acquisition and identification of sensors in a network using an imaging receiver.
- To analyze the probability of erroneous acquisition due to noise in this scheme.
- To identify key factors influencing the acquisition probability.
Main Methods:
- Utilizing an imaging receiver (detector matrix) at the base station.
- Employing active retroreflectors on sensors for reduced complexity and power consumption.
- Developing a probability model to assess acquisition errors caused by noise.
Main Results:
- The proposed scheme allows for simultaneous acquisition and identification of sensors.
- A probability model for erroneous acquisition due to noise was derived.
- Matrix size, signal power, and noise power significantly impact acquisition probability.
Conclusions:
- The described scheme effectively enables simultaneous sensor network communication.
- The derived probability model provides insights into system performance limitations.
- Optimizing matrix size and managing signal-to-noise ratios are crucial for reliable sensor network operation.
