2021/02/01 by Mohammad Moltafet, Moltafet, Mohammad, Markus Leinonen +3 · 1 citation
Computer Science · Business, Management and Accounting · Engineering · #Age of Information Optimization #Advanced Queuing Theory Analysis #Advanced Wireless Network Optimization
paper · pdf · doi:10.48550/arxiv.2102.01126
We consider a multi-source status update system in which status updates are\ntransmitted as packets containing the measured value of the monitored process\nand a time stamp representing the time when the sample was generated. The\npackets of each source are generated according to the Poisson process and the\npackets are served according to an exponentially distributed service time. We\nassume that the received status update packets needs further processing before\nbeing used (hence, computation-intensive). This is mathematically modeled by\nintroducing an additional server at the sink node. The sink server serves the\npackets according to an exponentially distributed service time. We introduce\ntwo packet management policies, namely, i) a preemptive policy and ii) a\nblocking policy and derive the moment generating function (MGF) of the AoI of\neach source under both policies. In the preemptive policy, a new arriving\npacket preempts any possible packet that is currently under service regardless\nof the packet's source index. In the blocking policy, when a server is busy at\nthe arrival instant of a packet the arriving packet is blocked and cleared. We\nassume that the same preemptive/blocking policy is employed in both transmitter\nand sink servers. Numerical results are provided to assess the results.\n