Efficient Remote Monitoring through Noisy Random Access with Retransmissions

Abstract

We consider a rare event monitoring system consisting of a set of devices and a base station, where devices transmit information about rare events to the base station using a random multiple access scheme. We introduce a model in which the presence of noise in the multiple access channel can cause message loss even in the absence of transmission collisions. The occurrence of events is modeled by a family of independent two-state Markov chains (with states 0 and 1). We analyze how repeated transmissions affect system performance. Two efficiency criteria are proposed and studied: the maximum probability that a message about an event from a fixed device is successfully delivered to the base station and the maximum frequency at which the base station successfully receives updates about the entire system. For each criterion, we determine the optimal number of retransmissions as a function of the system parameters.