scholarly journals Tight Trade-off in Contention Resolution without Collision Detection

2021 ◽  
Author(s):  
Haimin Chen ◽  
Yonggang Jiang ◽  
Chaodong Zheng
Keyword(s):  
Collision Detection ◽  
Contention Resolution ◽  
Trade Off

scholarly journals On time-memory trade-off for collision detection

2015 ◽  
Author(s):  
Albert Rizaldi ◽  
Sebastian Sontges ◽  
Matthias Althoff
Keyword(s):  
Collision Detection ◽  
Trade Off

scholarly journals Trade-off between maximum cardinality of collision sets and accuracy of RFID reader-to-reader collision detection

2013 ◽  
Vol 2013 (1) ◽  
Author(s):  
Linchao Zhang ◽  
Filippo Gandino ◽  
Renato Ferrero ◽  
Bartolomeo Montrucchio ◽  
Maurizio Rebaudengo
Keyword(s):  
Collision Detection ◽  
Maximum Cardinality ◽  
Trade Off ◽  
Rfid Reader

Deterministic Contention Resolution without Collision Detection: Throughput vs Energy

2021 ◽  
Author(s):  
Gianluca De Marco ◽  
Dariusz R. Kowalski ◽  
Grzegorz Stachowiak
Keyword(s):  
Collision Detection ◽  
Contention Resolution

scholarly journals Contention resolution without collision detection

2020 ◽  
Author(s):  
Michael A. Bender ◽  
Tsvi Kopelowitz ◽  
William Kuszmaul ◽  
Seth Pettie
Keyword(s):  
Collision Detection ◽  
Contention Resolution

A Flow-Preserving Algorithm for the Time-Cost Trade-Off Problem

1982 ◽  
Vol 14 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Suleyman Tufekci
Keyword(s):  
Time Cost ◽  
Trade Off

Dual Goals for Speed and Accuracy on the Same Performance Task

2012 ◽  
Vol 11 (3) ◽  
pp. 118-126 ◽  
Author(s):  
Olive Emil Wetter ◽  
Jürgen Wegge ◽  
Klaus Jonas ◽  
Klaus-Helmut Schmidt
Keyword(s):  
Memory Scanning ◽  
Performance Task ◽  
Performance Tasks ◽  
Trade Off ◽  
Test Experiment ◽  
Trade Offs ◽  
New Finding ◽  
Sternberg Paradigm ◽  
Speed Accuracy ◽  
Speed And Accuracy

In most work contexts, several performance goals coexist, and conflicts between them and trade-offs can occur. Our paper is the first to contrast a dual goal for speed and accuracy with a single goal for speed on the same task. The Sternberg paradigm (Experiment 1, n = 57) and the d2 test (Experiment 2, n = 19) were used as performance tasks. Speed measures and errors revealed in both experiments that dual as well as single goals increase performance by enhancing memory scanning. However, the single speed goal triggered a speed-accuracy trade-off, favoring speed over accuracy, whereas this was not the case with the dual goal. In difficult trials, dual goals slowed down scanning processes again so that errors could be prevented. This new finding is particularly relevant for security domains, where both aspects have to be managed simultaneously.

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