In this paper we consider an M/G/1 queue-based analytical model. The end-to-end performance of a tandem wireless router network with batch arrivals is optimized. The mean of the transmission delay (or 'response time') is minimized subject to an upper limit on the rate of losses and finite capacity queueing and recovery buffers. The optimal ratio of arrival-buffer size to recovery-buffer size is determined, which is a critical quantity, affecting both loss rate and transmission time. The impact of the retransmission probability is investigated: too high a value leads to congestion and so higher response times, too low and packets are lost forever, yielding a different penalty.
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