Overcoming the Challenge of Non-Optimal AP Selection in Wi-Fi Roaming
Nuwan Kuruwitaarachchi · International Journal of Computer and Information Technology(2279-0764) · 2024
This paper addresses the critical issue of non-optimal Access Point (AP) selection in wireless networks, which significantly impacts network efficiency and user satisfaction. In dynamic wireless environments, particularly those integrating Internet of Things (IoT) applications, clients often face challenges in maintaining optimal connectivity due to suboptimal AP selection and inefficient roaming. This results in degraded network performance, characterized by reduced data transfer speeds, increased latency, and higher likelihood of connection drops. The paper delves into the intricacies of client-AP connectivity, exploring the reasons behind non-optimal AP selection and the lack of efficient roaming. It employs simulation tools and analytical methodologies to offer insights into identifying, analyzing, and resolving these issues. The goal is to enhance the client-AP connectivity experience in wireless networks, ensuring that they are robust, capable, and intelligently adaptive to the dynamic movements and requirements of users. Key strategies discussed include advanced algorithms for AP selection that go beyond mere signal strength, implementation of fast roaming technologies like IEEE 802.11r, 802.11k, and 802.11v, and smart AP management techniques such as load balancing and dynamic channel assignment. The paper also highlights the significant improvements brought by Wi-Fi 6 (802.11ax) in enhancing the Wi-Fi roaming experience through features such as Orthogonal Frequency Division Multiple Access (OFDMA), Target Wake Time (TWT), and BSS Coloring. The paper underscores the need for a comprehensive approach to address the challenge of non-optimal AP selection and efficient roaming in wireless networks. By leveraging advanced selection algorithms, implementing smart AP management strategies, and adopting fast roaming technologies, it is possible to significantly enhance the performance and user experience of wireless networks in our increasingly connected world.