A Markovian Model for the Analysis of Age of Information in IoT Networks
2021 (English)In: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 10, no 7, p. 1596-1600, article id 9410556Article in journal (Refereed) Published
Abstract [en]
Age of Information (AoI) is a critical metric in status update systems as these systems require the fresh updates. This letter investigates the uplink of an Internet-of-Thing (IoT) network where L nodes transmit their information packets to a base station. The effects of the arrival rate of packets at the nodes, the number of nodes in the system, and queue length of each node have been studied by devising a discrete time Markov chain (MC) model. This model helps in predicting the values of AoI and probability of packet drops in such systems. The notion of first-in first-out is used for queuing, which transmits the oldest packet first, resulting in decreasing the overall AoI of the system. The results show that AoI increases with the increase in queue length, number of nodes and arrival rate and we quantify the aforementioned metrics using the MC model. The results found using the MC model are also validated using extensive simulations. © 2012 IEEE.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021. Vol. 10, no 7, p. 1596-1600, article id 9410556
Keywords [en]
age of information, arrival rate, Internet-of-Thing, Markov chain, queuing theory, Markov chains, Queueing theory, Discrete time Markov chains, Extensive simulations, First in first outs, Information packets, Internet of Things (IOT), Markovian model, Queue lengths, Status updates, Internet of things
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:miun:diva-43683DOI: 10.1109/LWC.2021.3075160ISI: 000671773600048Scopus ID: 2-s2.0-85104591661OAI: oai:DiVA.org:miun-43683DiVA, id: diva2:1611296
2021-11-152021-11-152021-11-15Bibliographically approved