Type
ArticleAuthors
Khalil, Ruhul
Saeed, Nasir

KAUST Department
Computer, Electrical, and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Makkah, Saudi ArabiaDate
2020-06-15Online Publication Date
2020-06-15Print Publication Date
2020-07Submitted Date
2020-05-12Permanent link to this record
http://hdl.handle.net/10754/664172
Metadata
Show full item recordAbstract
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.2020.3002232Journal
IEEE Sensors LettersAdditional Links
https://ieeexplore.ieee.org/document/9117199/ae974a485f413a2113503eed53cd6c53
10.1109/LSENS.2020.3002232