Dynamic clustering in WiFi direct technology

Abstract

WiFi Direct is a new technology supported by WiFi Alliance. Devices can establish connections using an Access Point (network leader), chosen automatically by the system. Unfortunately, there are no measurements for discovering the best device to be a network leader. In this paper, we propose a dynamic election of leaders for Wifi Direct Technology. In our approach, devices are exposing clustering service information used in the election of leaders. This way, leaders can be replaced based on any clustering strategy, such as battery, speed, direction and many others. We implement classical clustering algorithms to prove the usability of our proposal. The results demonstrate that our proposal is extensible to support cluster election algorithms.