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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
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When two or more objects collide with each other, they can stick together to form one single composite object (after collision). The total mass of the object after the collision is the sum of the masses of the original objects, and it moves with a velocity dictated by the conservation of momentum. Although the system's total momentum remains constant, the kinetic energy decreases, and thus such a collision is an inelastic collision. Most of the collisions between objects in daily life are...
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Dynamic Frame Update Policy for UHF RFID Sensor Tag Collisions.

Laura Arjona1, Hugo Landaluce2, Asier Perallos2

  • 1Paul G. Allen Center for Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA.

Sensors (Basel, Switzerland)
|May 14, 2020
PubMed
Summary

This study introduces Fuzzy Frame Slotted Aloha (FFSA), a novel anti-collision protocol for Radio Frequency Identification (RFID) sensor tags. FFSA significantly reduces sensor data packet read times, improving efficiency for low-cost edge devices.

Keywords:
EPC-global standardRFID sensor tagRadio Frequency Identification (RFID)anti-collisionframe update policytag estimation

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Internet of Things

Background:

  • Growing demand for low-cost edge devices drives RFID research.
  • RFID tags are explored for wireless sensing, localization, and activity inference.
  • Passive UHF RFID sensing is a key focus area.

Purpose of the Study:

  • To analyze and classify Dynamic Frame Slotted Aloha (DFSA) frame size update policies.
  • To propose a novel DFSA policy for reduced sensor data packet read times.
  • To introduce and evaluate the Fuzzy Frame Slotted Aloha (FFSA) anti-collision protocol.

Main Methods:

  • Analysis of existing DFSA frame size update policies.
  • Development of a novel DFSA policy.
  • Implementation and simulation of the Fuzzy Frame Slotted Aloha (FFSA) protocol.
  • Comparison of FFSA performance against existing DFSA protocols.

Main Results:

  • The proposed novel DFSA policy effectively reduces sensor data packet read times.
  • FFSA demonstrates significant decreases in sensor tag read time across various tag populations.
  • FFSA outperforms previous DFSA protocols in terms of efficiency.

Conclusions:

  • FFSA offers a more efficient anti-collision solution for RFID sensor networks.
  • The novel frame size update policy is key to FFSA's improved performance.
  • FFSA advancements support the development of low-cost edge devices for the physical-digital divide.