2019/12/17 by Mustafa Emara, Emara, Mustafa, Hesham ElSawy +3
Computer Science · Engineering · #Age of Information Optimization #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Information Theory (cs.IT) #IoT Networks and Protocols #Opportunistic and Delay-Tolerant Networks
paper · pdf · doi:10.48550/arxiv.1912.07855
openalex publication_date 2019/12/17 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
Timely message delivery is a key enabler for Internet of Things (IoT) and\ncyber-physical systems to support wide range of context-dependent applications.\nConventional time-related metrics (e.g. delay and jitter) fails to characterize\nthe timeliness of the system update. Age of information (AoI) is a\ntime-evolving metric that accounts for the packet inter-arrival and waiting\ntimes to assess the freshness of information. In the foreseen large-scale IoT\nnetworks, mutual interference imposes a delicate relation between traffic\ngeneration patterns and transmission delays. To this end, we provide a\nspatiotemporal framework that captures the peak AoI (PAoI) for large scale IoT\nuplink network under time-triggered (TT) and event triggered (ET) traffic.\nTools from stochastic geometry and queueing theory are utilized to account for\nthe macroscopic and microscopic network scales. Simulations are conducted to\nvalidate the proposed mathematical framework and assess the effect of traffic\nload on PAoI. The results unveil a counter-intuitive superiority of the ET\ntraffic over the TT in terms of PAoI, which is due to the involved temporal\ninterference correlations. Insights regarding the network stability frontiers\nand the location-dependent performance are presented. Key design\nrecommendations regarding the traffic load and decoding thresholds are\nhighlighted.\n