Optimal access point location algorithm based real measurement for indoor communication

Abdulwahid, Maan M.; Al-Ani, Oras A. Shareef; Mosleh, Mahmood F.; Abd-Alhmeed, Raed A.

doi:10.1145/3321289.3321300

Cited by 24 publications

(18 citation statements)

References 18 publications

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“…For the past two years, valuable efforts have been conducted by many researchers as in 15 , where the researcher has performed an algorithm for optimum AP location among four preselected locations in the corners. Their simulation results that represent the targeted optimum AP location have been compared and confirmed based on real measurement results.…”

Section: Related Workmentioning

confidence: 99%

WOAIP: Wireless Optimization Algorithm for Indoor Placement Based on Binary Particle Swarm Optimization (BPSO)

Naif

Mohammed

2022

Baghdad Sci.J

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Optimizing the Access Point (AP) deployment has a great role in wireless applications due to the need for providing an efficient communication with low deployment costs. Quality of Service (QoS), is a major significant parameter and objective to be considered along with AP placement as well the overall deployment cost. This study proposes and investigates a multi-level optimization algorithm called Wireless Optimization Algorithm for Indoor Placement (WOAIP) based on Binary Particle Swarm Optimization (BPSO). WOAIP aims to obtain the optimum AP multi-floor placement with effective coverage that makes it more capable of supporting QoS and cost-effectiveness. Five pairs (coverage, AP deployment) of weights, signal thresholds and received signal strength (RSS) measurements simulated using Wireless InSite (WI) software were considered in the test case study by comparing the results collected from WI with the present wireless simulated physical AP deployment of the targeted building - Computer Science Department at University of Baghdad. The performance evaluation of WOAIP shows an increase in terms of AP placement and optimization distinguished in order to increase the wireless coverage ratio to 92.93% compared to 58.5% of present AP coverage (or 24.5% coverage enhancement on average).

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Section: Related Workmentioning

confidence: 99%

WOAIP: Wireless Optimization Algorithm for Indoor Placement Based on Binary Particle Swarm Optimization (BPSO)

Naif

Mohammed

2022

Baghdad Sci.J

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“…An example of the GUI is shown in Figure 1. The HMI programmer shall schedule each indicator and button to a specific input or output address of a PLC [14]. This takes up another detail, the HMI and PLC need to be compatible.…”

Section: A-human Machine Interface (Hmi)mentioning

confidence: 99%

Design and Implementation of Water Level Tank Model by using SCADA System

Abdulwahid¹,

Wasel²

2020

IJAMECS2

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Recently, SCADA system has been widely deployed in several stations and performing different purposes by connecting it with different hardware components and terminals. As a result, in this paper, it has been designed and proposed a model for water tank level-based detection for the scenarios of station that contains several tanks. The proposed model has shown a significant in performance and enhance the response of the tank management with both cases of tank filling and discharging.

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“…The common technique widely accustomed to realize the location is GPS. However, GPS is convenient in outside environments and their square measure is constrained and limited, which leads to obscured GPS service just like the position within high buildings [1,2]. During this state of affairs, indoor localization systems square measure is accustomed to estimate the position in any space that GPS does not work.…”

Section: Introductionmentioning

confidence: 99%

Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA

Mosleh

Abed

Hamza

2021

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Designing a localization system for an indoor environment faces more challenges because of multipath and interference problems. In this field, the most important techniques used for such environment, are RSS and ToA which need to be improved especially from more interference because of the huge multipath problems. In this paper, a case study of a selected building is chosen in order to apply the proposed technique of this research. Such proposal is based on the PT ‎ of the area in the case study into MZ. Each zone is allocated special values for the parameters used to estimate the target positions. WI package is used to simulate the case study area and apply such proposal based on RSS and ToA. The results confirm that the estimated locations are close to the real locations by the average error of (2.8) meter and (0.192) meter for ToA corresponding one zone and four zones ‎respectively. ‎ In contrast, the results of our experiment show that the accuracy is improved from an average error of (2.4) meter and (0.217) meter for RSS corresponding one zone and four zones ‎respectively‎. Such results confirm that dividing the case study area into more zones leads to more accuracy.

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Optimal access point location algorithm based real measurement for indoor communication

Cited by 24 publications

References 18 publications

WOAIP: Wireless Optimization Algorithm for Indoor Placement Based on Binary Particle Swarm Optimization (BPSO)

WOAIP: Wireless Optimization Algorithm for Indoor Placement Based on Binary Particle Swarm Optimization (BPSO)

Design and Implementation of Water Level Tank Model by using SCADA System

Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA

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