Network Optimization for Industrial Internet of Things (IIoT)

Type
Article

Authors
Khalil, Ruhul
Saeed, Nasir

KAUST Department
Computer, Electrical, and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Makkah, Saudi Arabia

Online Publication Date
2020-06-15

Print Publication Date
2020-07

Date
2020-06-15

Submitted Date
2020-05-12

Abstract
Industrial Internet of Things (IIoT) requires reliable, low-latency, and secure wireless links to support rate/delay/security-intensive applications. In this letter, we model the IIoT network as a geometric graph with a virtual coordinate system (VCS). One major problem with VCS is that it is sensitive to the placement of reference nodes. This letter first proposes a general formulation for selecting a specific set of reference nodes that minimizes the network error. Then, we derive the upper bound for the optimization problem and present a novel iterative method that selects additional reference nodes based on the network inference. Simulation results compare the proposed method with the random selection of reference nodes and show that the proposed method performs better regarding packet delivery rate, network connectivity, and total energy consumption.

Citation
KHALIL, R. A., & Saeed, N. (2020). Network Optimization for Industrial Internet of Things (IIoT). IEEE Sensors Letters, 1–1. doi:10.1109/lsens.2020.3002232

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Journal
IEEE Sensors Letters

DOI
10.1109/LSENS.2020.3002232

Additional Links
https://ieeexplore.ieee.org/document/9117199/

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