Abstract
The deployment of base stations (BSs) is an extremely important matter in an internet of things (IoT) system. When a BS location is poorly deployed, it will cause the overall coverage of sensor devices (SDs) to decrease. Hence, the more BSs are required to increase the number of covered SDs in IoT systems. It leads to a higher deployment budget of BSs. However, BSs cannot be deployed everywhere in real environments. Taking the SDs positions and BSs candidate locations into account, we design an efficient and novel BSs deployment strategy to maximize the number of covered SDs and to reduce the deployment budget of BSs in IoT systems. We employ the Intuitionistic Fuzzy Sets (IFS) to make an adjustment decision for determining suitable BSs deployment positions from the BS candidate locations. Simulation results demonstrate that our proposed IFS BS deployment strategy achieves a higher coverage ratio of SDs and a favorable deployment budget of BSs in IoT systems.
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Acknowledgements
This work was supported in part by the Ministry of Science and Technology, Taiwan, R.O.C., under Contract MOST-111-2221-E-150-047.
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Lin, ZY., Chang, JY. & Jeng, JT. An Efficient Intuitionistic Fuzzy Sets Base Stations Deployment Strategy in Internet of Things Systems. Int. J. Fuzzy Syst. 25, 1882–1894 (2023). https://doi.org/10.1007/s40815-023-01480-7
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DOI: https://doi.org/10.1007/s40815-023-01480-7