Abstract
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).
Highlights
During the past few years, wireless communication has been widely developed and has gained more attention to study the propagation characteristics of wireless signals in indoor and outdoor environments 1,2
In line with the above-mentioned contributions, this paper proposes a multi-objective function of coverage and Access Point (AP) deployment with a novel formula for AP deployment function based on Binary Particle Swarm Optimization (BPSO) algorithm
The framework of Wireless Optimization Algorithm for Indoor Placement (WOAIP) are summarized in the following steps: Step1- Initialization of AP-Test Points (TPs) Matrix with received signal strength (RSS) values: The AP-TP Matrix of RSS monitored at each TP in Fig. 6, which produced by Wireless InSite (WI) software as a result of simulation for the distribution of APs and TPs within campus at Science (CS) department
Summary
During the past few years, wireless communication has been widely developed and has gained more attention to study the propagation characteristics of wireless signals in indoor and outdoor environments 1,2. This study implements an optimization algorithm using binary particle swarm optimization (BPSO) based on a multi-objective function, where two parameters called RSS and an initial number of candidate APs are considered in the design of our proposed algorithm.
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