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AI Features

Feature #11: Weighted Exponential Back-off

Explore the concept of weighted exponential back-off in network communication, where devices delay retransmissions after collisions. Learn how to model this using linked lists representing random integers and implement addition digit-by-digit with carry handling. Understand the time and space complexity of this approach to solve practical network problems in Python.

Description

In our network topology, we have a shared communication channel. On this channel, all the connected devices can simultaneously transmit data, resulting in a collision. The transmission is time-slotted. After a collision, the transmitting devices back off, that is, they refrain from retransmitting for a random number of time slots.

To this end, the device draws a random integer, r, between 1 and 9 and waits for as many time slots. In case of another collision on the first retry, the device draws a random integer again, r, between 1 and 9, and waits for 10r10*r time slots. In case of [i][i] successive retransmission failures, the device backs off for 10ir10^i*r ...