Lieske, H.H.LieskeBeer, F.F.BeerFischer, J.J.FischerKillian, G.G.KillianRobert, J.J.RobertHeuberger, A.A.Heuberger2022-03-122022-03-122014https://publica.fraunhofer.de/handle/publica/38744310.1109/SmartSysTech.2014.7156028The paper analyses the outage probability of a radio node in a finite size large-scale data aggregation network which employs slotted random medium access. In most literature, this performance metric is usually derived from a Poisson point process distribution of radio nodes in infinite space. In contrast, we analyse a network with finite area and a fixed number of interfering nodes using a binomial point process. Based on the point process, conditional outage probabilities in a log-normal fading channel in case of n interferers are derived. These interim results are used to obtain the outage probability of a desired radio node as a function of the offered network load. We present numerical outage probabilities for distinct path loss exponents, capture thresholds and varying distances between node and receiver.enconference paper