Gateway Placement in LoRaWAN Enabled Sensor Networks

Batuhan Can; Halit Uyanık; Tolga Ovatman

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Paper

Gateway Placement in LoRaWAN Enabled Sensor Networks

Topics: Environment Monitoring; Internet of Things

In Proceedings of the 12th International Conference on Sensor Networks SENSORNETS - Volume 1, 93-100, 2023

Authors: Batuhan Can ; Halit Uyanık and Tolga Ovatman

Affiliation: Department of Computer Engineering, Istanbul Technical University, Istanbul, Turkey

Keyword(s): Gateway Placement, LoRaWAN Networks, Environmental Monitoring.

Abstract: This paper proposes two different approaches to be applied in gateway placement problem in LoRaWAN sensor networks. The first approach is based on finding the minimal set to contain all the coverage intersections of the sensors and the second approach is based on optimization via integer programming over the distance between the gateways and sensors. Our results show that using automated gateway placement provides significantly less number of gateways to be used.

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Paper citation in several formats:

Can, B.; Uyanık, H. and Ovatman, T. (2023). Gateway Placement in LoRaWAN Enabled Sensor Networks. In Proceedings of the 12th International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-635-4; ISSN 2184-4380, SciTePress, pages 93-100. DOI: 10.5220/0011777000003399

@conference{sensornets23,
author={Batuhan Can. and Halit Uyanık. and Tolga Ovatman.},
title={Gateway Placement in LoRaWAN Enabled Sensor Networks},
booktitle={Proceedings of the 12th International Conference on Sensor Networks - SENSORNETS},
year={2023},
pages={93-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011777000003399},
isbn={978-989-758-635-4},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Sensor Networks - SENSORNETS
TI - Gateway Placement in LoRaWAN Enabled Sensor Networks
SN - 978-989-758-635-4
IS - 2184-4380
AU - Can, B.
AU - Uyanık, H.
AU - Ovatman, T.
PY - 2023
SP - 93
EP - 100
DO - 10.5220/0011777000003399
PB - SciTePress