2022/08/02 by Muthukrishnan Senthil Kumar, Kumar, Muthukrishnan Senthil, Aresh Dadlani +7 · 1 citation
Computer Science · Engineering · #Advanced Wireless Network Optimization #Age of Information Optimization #FOS: Computer and information sciences #IoT Networks and Protocols #Networking and Internet Architecture (cs.NI) #Performance (cs.PF)
paper · pdf · doi:10.48550/arxiv.2208.01619
openalex publication_date 2022/08/02 · openalex created_date 2022/08/04 · openalex updated_date 2026/07/28
The timeliness of status message delivery in communications networks is subjective to time-varying wireless channel transmissions. In this paper, we investigate the age of information (AoI) of each source in a multi-source M/G/1 queueing update system with active server failures. In particular, we adopt the method of supplementary variables to derive a closed-form expression for the average AoI in terms of system parameters, where the server repair time follows a general distribution and the service time of packets generated by independent sources is a general random variable. Numerical results are provided to validate the effectiveness of the proposed packet serving policy under different parametric settings.