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An optimal multi-UAV deployment model for UAV-assisted smart farming
conference contributionposted on 2024-01-24, 00:35 authored by Shavbo Salehi, Jahan HassanJahan Hassan, Ayub BokaniAyub Bokani
Next-generation wireless networks will deploy UAVs dynamically as aerial base stations (UAV-BSs) to boost the wireless network coverage in the out-of-reach areas. To provide an efficient service in stochastic environments, the optimal number of UAV-BSs, their locations, and trajectories must be specified appropriately for different scenarios. Such deployment requires an intelligent decision-making mechanism that can deal with various variables at different times. This paper proposes a multi UAV-BS deployment model for smart farming, formulated as a Multi-Criteria Decision Making (MCDM) method to find the optimal number of UAV-BSs to monitor animals’ behavior. This model considers the effect of UAV-BSs’ signal interference and path loss changes caused by users’ mobility to maximize the system’s efficiency. To avoid collision among UAV-BSs, we split the considered area into several clusters, each covered by a UAV-BS. Our simulation results suggest up to 11x higher deployment efficiency than the benchmark clustering algorithm.
Number of Pages7
Place of PublicationPIscataway, NJ
External Author AffiliationsUrmia University, Iran