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Authors: Siddhartha Shakya 1 ; Kin Poon 1 ; Ahmed Suliman 1 ; Alia Aljasmi 2 ; Huda Goian 2 and Ahoud Barzaiq 2

Affiliations: 1 EBTIC, Khalifa University of Science and Technology, Abu Dhabi, U.A.E. ; 2 IoT & AI Operations, e&, Abu Dhabi, U.A.E.

Keyword(s): Wireless Meter Network Planning, Optimization, Genetic Algorithm, Estimation of Distribution Algorithm, Simulated Annealing.

Abstract: Utility companies use smart wireless meters to automate the collection of meter readings. This requires them to design and deploy a wireless meter network where each meter is connected to a central Data Concentrator Unit (DCU), which is then connected to the control centre of the company. In this paper we investigate the problem of wireless network meter deployment by means of evolutionary algorithms. We model the deployment problem as an evolutionary optimization problem, explore two different encoding schemes for the objective function, and test 4 different algorithms against 5 typical setups of the network in different areas. Our results show that Simulated Annealing (SA) is the best performing algorithm for the tested instances of the problem and has better reliability against the other compared algorithms The devised models and the algorithm have been built into a tool that is being used in a real-world scenario.

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Paper citation in several formats:
Shakya, S., Poon, K., Suliman, A., Aljasmi, A., Goian, H. and Barzaiq, A. (2024). Optimal Wireless Meter Deployment Using Evolutionary Algorithms. In Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-708-5; ISSN 2184-2841, SciTePress, pages 332-339. DOI: 10.5220/0012791900003758

@conference{simultech24,
author={Siddhartha Shakya and Kin Poon and Ahmed Suliman and Alia Aljasmi and Huda Goian and Ahoud Barzaiq},
title={Optimal Wireless Meter Deployment Using Evolutionary Algorithms},
booktitle={Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2024},
pages={332-339},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012791900003758},
isbn={978-989-758-708-5},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Optimal Wireless Meter Deployment Using Evolutionary Algorithms
SN - 978-989-758-708-5
IS - 2184-2841
AU - Shakya, S.
AU - Poon, K.
AU - Suliman, A.
AU - Aljasmi, A.
AU - Goian, H.
AU - Barzaiq, A.
PY - 2024
SP - 332
EP - 339
DO - 10.5220/0012791900003758
PB - SciTePress

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