2019/07/18 by Mustafa Emara, Emara, Mustafa, Hesham ElSawy +3
Computer Science · Engineering · #Advanced MIMO Systems Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Networking and Internet Architecture (cs.NI) #Opportunistic and Delay-Tolerant Networks #Signal Processing (eess.SP) #Wireless Networks and Protocols #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1907.07888
openalex publication_date 2019/07/18 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28
Massive Internet of Things (IoT) is foreseen to introduce plethora of\napplications for a fully connected world. Heterogeneous traffic is envisaged,\nwhere packets generated at each IoT device should be differentiated and served\naccording to their priority. This paper develops a novel priority-aware\nspatiotemporal mathematical model to characterize massive IoT networks with\nuplink prioritized multistream traffic (PMT). Particularly, stochastic geometry\nis utilized to account for the macroscopic network wide mutual interference\nbetween the coexisting IoT devices. Discrete time Markov chains (DTMCs) are\nemployed to track the microscopic evolution of packets within each priority\nstream at each device. To alleviate the curse of dimensionality, we decompose\nthe prioritized queueing model at each device to a single-queue system with\nserver vacation. To this end, the IoT network with PMT is modeled as spatially\ninteracting vacation queues. Interactions between queues, in terms of the\npacket departure probabilities, occur due to mutual interference. Service\nvacations occur to lower priority packets to address higher priority packets.\nBased on the proposed model, dedicated and shared channel access strategies for\ndifferent priority classes are presented and compared. The results show that\nshared access provides better performance when considering the transmission\nsuccess probability, queues overflow probability and latency.\n