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This study proposes a Wi-Fi AP deployment model that addresses diverse practical AP types, prices, and instances of multiple APs in a single location. We ...
We employs genetic algorithm (GA) to resolve multiple objective decision-making problem. An experiment is conducted to verify the proposed model's feasibility.
This study proposes a Wi-Fi AP deployment model that addresses diverse practical AP types, prices, and instances of multiple APs in a single location. We ...
A Wi-Fi AP deployment model that addresses diverse practical AP types, prices, and instances of multiple APs in a single location is proposed and employs ...
This paper addresses the UAV placement and control problem, where a set of genetic-algorithm-optimized potential fields guide UAVs for creating long-lived ad ...
The proposed algorithm is guaranteed to find a solution with at most O(copt log copt) access points, if there exists a solution to the access point placement.
This paper presents the application of a Hybrid Grouping Genetic Algorithm (HGGA) to solve the problem of deploying metropolitan wireless networks.
An optimum number of wireless access points and their locations is determined using a Genetic Algorithm for the case study of the Egyptian textile ...
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Jul 1, 2022 · We present a two-phase methodology to address the problem of optimally deploying indoor wireless local area networks.
Optimization techniques for access point (AP) device placement have also been explored extensively. Various algorithms, including genetic algorithms (Eldeeb ...