2020/06/09 by Hesham ElSawy, ElSawy, Hesham
Business, Management and Accounting · Computer Science · Social Sciences · #Advanced Queuing Theory Analysis #Age of Information Optimization #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.2006.05435
openalex publication_date 2020/06/09 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
This paper develops a novel spatiotemporal model for large-scale IoT networks\nwith asynchronous periodic traffic and hard-packet deadlines. A static marked\nPoisson bipolar point process is utilized to model the spatial locations of the\nIoT devices, where the marks mimic the relative time-offsets of traffic duty\ncycles at different devices. At each device, an absorbing Markov chain is\nutilized to capture the temporal evolution of packets from generation until\neither successful delivery or deadline expiry. The temporal evolution of\npackets is defined in terms of the Aloha transmission/backoff states. From the\nnetwork perspective, the meta distribution of the transmission success\nprobability is used to characterize the mutual interference among of the\ncoexisting devices. To this end, the network performance is characterized in\nterms of the probabilities of meeting/missing the delivery deadlines and\ntransmission latency. The results unveil counter-intuitive superior performance\nof strict packet deadlines in terms of transmission success and latency.\n