Modelling on resource management and allocation for location-based IoT network

Xiaofeng Li; Luqun Li

doi:10.1117/12.2668348

20 April 2023 Modelling on resource management and allocation for location-based IoT network

Xiaofeng Li, Luqun Li

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126022X (2023) https://doi.org/10.1117/12.2668348
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

The Industrial Internet of Things with positioning service has been applied in many fields, such as: intelligent Internet of Things warehousing system, which realizes the identification, positioning, statistics, and management of cargo information, as well as on-site personnel safety monitoring. This kind of network usually needs to complete the requirements of positioning, information transmission, and emergency message processing, and the priority of these different information transmissions is different. How to optimize resource allocation has become one of the urgent problems to be solved in related fields. This paper realizes the resource allocation of a specific M/M/1/N model by controlling the M/M/1 service resource models with different priorities, so that the relationship between the allocation of different priority service resources and the buffer size can be easily and clearly obtained. The research model provides a theoretical basis for the resource design of the MAC layer or the transport layer in the relevant network.

Citation Download Citation

Xiaofeng Li and Luqun Li "Modelling on resource management and allocation for location-based IoT network", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126022X (20 April 2023); https://doi.org/10.1117/12.2668348

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KEYWORDS

Internet of things

Sensors

Data modeling

Design and modelling

Modeling

Performance modeling

Data transmission

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