Stochastic Analysis of Non-slotted Aloha in Wireless Ad-Hoc Networks
Bartek Blaszczyszyn (INRIA Rocquencourt), Paul Muhlethaler (INRIA, Rocquencourt)

TL;DR
This paper develops two stochastic models for non-slotted Aloha in wireless ad-hoc networks, providing analytical expressions for success probability and comparing performance with slotted Aloha under various conditions.
Contribution
It introduces two new tractable stochastic models for non-slotted Aloha with closed-form success probability expressions and compares their performance to slotted Aloha.
Findings
Non-slotted Aloha performs similarly to slotted Aloha when path loss is weak.
For strong path loss, non-slotted Aloha's success density is about 75% of slotted Aloha.
Both schemes have similar energy efficiency across scenarios.
Abstract
In this paper we propose two analytically tractable stochastic models of non-slotted Aloha for Mobile Ad-hoc NETworks (MANETs): one model assumes a static pattern of nodes while the other assumes that the pattern of nodes varies over time. Both models feature transmitters randomly located in the Euclidean plane, according to a Poisson point process with the receivers randomly located at a fixed distance from the emitters. We concentrate on the so-called outage scenario, where a successful transmission requires a Signal-to-Interference-and-Noise Ratio (SINR) larger than a given threshold. With Rayleigh fading and the SINR averaged over the duration of the packet transmission, both models lead to closed form expressions for the probability of successful transmission. We show an excellent matching of these results with simulations. Using our models we compare the performances of…
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