Το πρωτόκολλο Wi-Fi 7 στο Διαδίκτυο των Πραγμάτων

Κωστάλας, Ανάργυρος

The Wi-Fi 7 protocol in the IoT

Bachelor Dissertation

Author

Κωστάλας, Ανάργυρος

Date

2025-02

Abstract

This thesis provides an in-depth analysis of Wi-Fi 7, IEEE 802.11, the next generation of wireless networking, and the transformation it promises to bring. Significant improvements to the protocol include increased channel bandwidth, increased spatial streams, higher-order modulation, multi-link operation, and multi-resource unit aggregation. These features were intended to meet the increasing demands for extremely high speeds, very low latency, efficient spectrum utilization, and reliable connectivity that differentiate Wi-Fi 7 from previous generations. The thesis explores Wi-Fi 7 in practical implementation applications in the areas of enterprise networking, smart homes, IoT, gaming, streaming, and industrial automation. Leveraging advanced features such as better OFDMA (Orthogonal Frequency Division Multiple Access), Target Wake Time, and multi-link operation, Wi-Fi 7 enables use cases from high-capacity enterprise systems to low-latency gaming and precise industrial automation. Furthermore, information is provided on Wi-Fi 7 and its challenges, limiting factors, infrastructure, compatibility with old device frameworks, and security vulnerabilities. Shedding light on the issues that complicate the adoption of new standards in terms of backward compatibility and data protection. Looking ahead and beyond Wi-Fi 7, the thesis examines the potential future of wireless networking, the integration of 5G/6G networks, and the adoption of artificial intelligence/machine learning for improved connectivity and resource management. Therefore, it examines Wi-Fi 7 for advanced global connectivity in its holistic perspective, citing technical advantages, real-world applications, and future prospects that could make Wi-Fi 7 one of the cornerstones of next-generation wireless networking.

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/17659

Collections

Τμήμα Πληροφορικής

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Όχι Παράγωγα Έργα 3.0 Ελλάδα