Enhancing Wireless Communication Networks with WASPAS Method A Comprehensive Optimization Approach

Recent studies have highlighted the significance of communication technologies in the advancement of embedded systems and devices. The variety of communication technologies available for embedded systems, each with its own advantages and disadvantages, can impact decision-makers' choices. As the demand grows for dependable and high-performing wireless communication networks, the necessity for effective optimization techniques becomes increasingly crucial. This study's major goal is to address issues that wireless communication networks encounter, such as constrained bandwidth, signal interference, and shifting user needs. Through the use of the WASPAS approach and optimization of important network parameters, our objective is to improve network efficiency, coverage, and the overall user experience. Subsequently, the collected data is fed into the WASPAS method, where it undergoes the weighted aggregation process. The method calculates the weighted performance scores for each parameter, considering the importance assigned by network administrators and stakeholders. These scores enable the ranking of network parameters based on their contributions to the network's overall performance. In this study, a thorough plan for improving wireless communication networks was developed using the Weighted Aggregated Sum Product Assessment (WASPAS) method. A multi-criteria decision-making process called WASPAS evaluates and ranks numerous network characteristics by taking into account their relative importance and performance. Evaluation parameters taken as Bluetooth, Zigbee, Wifi, Classic Waveland and Z-wave. Alternative parameters taken as Transmission Speed (𝑪𝟏), Security (𝑪𝟐), Transmission Range (𝑪𝟑), Power Usage (𝑪𝟒), Development Cost (𝑪𝟓) and Development Complexity (𝑪𝟔). Based on the aggregation of responses from experts, the results show that the most preferred wireless communication alternative for embedded application is zigbee got high position, while the least preferred alternative is Bluetooth.