Probability of transmitting during the same time slot

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Discussion Overview

The discussion revolves around calculating the probability of transmission collisions among multiple wireless devices communicating with a main router. Participants explore various probabilistic models and approaches to determine the likelihood of collisions occurring when X number of devices attempt to transmit data simultaneously, considering specific transmission durations and intervals.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant inquires about the probability of any device transmitting at the same time slot when X devices are trying to communicate, emphasizing the need for an equation to solve this problem.
  • Another participant questions the probabilistic nature of the problem, suggesting that the scenario described is deterministic based on the specified transmission times.
  • A clarification is made regarding the probability of a single transmission collision among X devices, but the context of the time frame for this probability remains ambiguous.
  • One participant proposes a method to calculate the probability of at least one collision using combinatorial methods, suggesting that the number of ways to avoid collisions can be expressed mathematically.
  • Another participant introduces the Poisson distribution as a potential model for calculating transmission probabilities, providing a specific average time for transmissions and discussing the cumulative probability calculation.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the nature of the problem, with some viewing it as deterministic while others argue for a probabilistic interpretation. Multiple competing models and approaches are presented without resolution.

Contextual Notes

The discussion includes assumptions about uniform distribution of transmission start times and the specific durations of transmissions, which may affect the calculations. There is also uncertainty regarding the appropriate statistical models to apply, as well as the time frame for assessing collision probabilities.

kevins963
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Have a question regarding probability. We have a device that communicates wirelessly to a main router and no devices can transmit with in the same time period as any other device. Can anyone provide an equation that would solve what the probability is of any device transmitting at the same time slot when there is X number of devices trying to communicate?

Details:
Devices take 5 msec to transmit all data
Devices will transmit new data every 5000 msec
Data with be corrupt if two or more devices transmit during any part of each others active transmission.

For example first device transmits at time 0 msec and device two transmits at time 4.5msec there will be a collision of data at the last 500 msec and cause a fault.

What the probability when you have X number of devices running?

* This is a actual problem we are trying to solve at our office, not a homework question, have a few answers but each solution is different by a decent amount.
 
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You haven't stated a problem that involves probability, except perhaps for the time that each device makes its first transmission, which you didn't address.
 
Sorry I meant What the probability of a single transmit collision when you have X number of devices running?
 
kevins963 said:
Sorry I meant What the probability of a single transmit collision when you have X number of devices running?

That doesn't specify whether you mean the probability of a single collision in the first 20 seconds after they start running or the probability of a single collision in the next 10 years after they start running.

The point of my last post is that you have stated the problem in a deterministic fashion. According to you statement, if device A starts transmitting at time t = t1 and device B starts transmitting at time t = t2 then the question of whether and where the subsequent transmissions overlap doesn't involve probability because you have stated an exact interval of 5000 msecs between their subsequent transmission and an exact transmission length of 5 msecs.
 
Suppose you have X devices starting at T1 = 0, T2, T3, ..., TX, where 0 <= Tj < 5000 ms. Assume a uniform distribution over the start times of each device. We can simplify/discretize by saying that the start times are divisible by 5 ms.

So the number of ways to have NO collisions is Choose(1000,X) * X! (choosing X distinct time slots out of 1000, then permuting it by X), And the total number of ways to choose times allowing collisions is 1000^X. So the probability of at least one collision with X devices over 5000 ms is 1 - Choose(1000,X) * X! / 1000^X.
 
You didn't say how long the transmissions take. I will use the Poisson distribution (though a normal distribution could be a better fit if your data says so), assume that the probability of any of those devices starting a transmission = 1/86400000, the time each transmission takes = 500 ms, and the router and devices are on for 1 day.

The average time at which a transmission from any given device takes place, then, is 43200000.5 ms.
Multiply that number by 3 and you get 129600001.5 the mean of the Poisson distribution.

Plug that number (either as the mean, average, or average rate of success) and 500 ms (as the value of the Poisson variable) into a calculator and it should give you the cumulative Poisson probability (the probability that x <=500) (or should it be x < 500?). Unfortunately I tried multiple calculators which could not give me the answer.
 

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