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Having timely and fresh knowledge about the current state of informationsources is critical in a variety of applications. In particular, a statusupdate may arrive at the destination later than its generation time due toprocessing and communication delays. The freshness of the status update at thedestination is captured by the notion of age of information. In this study, weanalyze a multiple sensing network with multiple sources, multiple servers, anda monitor (destination). Each source corresponds to an independent piece ofinformation and its age is measured individually. Given a particular source,the servers independently sense the source of information and send the statusupdate to the monitor. We assume that updates arrive at the servers accordingto Poisson random processes. Each server sends its updates to the monitorthrough a direct link, which is modeled as a queue. The service time totransmit an update is considered to be an exponential random variable. Weexamine both homogeneous and heterogeneous service and arrival rates for thesingle-source case, and only homogeneous arrival and service rates for themultiple-source case. We derive a closed-form expression for the average age ofinformation under a last-come-first-serve (LCFS) queue for a single source andarbitrary number of homogeneous servers. Using a recursive method, we derivethe explicit average age of information for any number of sources andhomogeneous servers. We also investigate heterogeneous servers and a singlesource, and present algorithms for finding the average age of information.

Age of Information for Multiple-Source Multiple-Server Networks