| Summary: | 碩士 === 國立東華大學 === 電機工程學系 === 91 ===
Abstract
Due to the effective coverage distance of WLAN is small, users may leave the coverage area of the specific Access Point (AP) from time to time while roaming. However, the wireless network is a shared medium. The air is open for everyone. In general there is collision if a few users attempt to transmit with the same channel. That is more rigorous during handoff period because of active scan mode. The active scan will perform requests for searching available AP. Unfortunately, this function consume too much resource in wireless communication, and also affect total performance. We will propose an advanced active scan to improve it.
In our proposal, we convert radio signal distribution to a simple classification problem, like as XOR classifier with ANN (Artificial Neural Network). We combine ANN with active scan to achieve our goal. And the weight which trained by ANN is presented connection character of geography. Moreover, the weight could be stored in AP for reusing. So we could call it Geographical Fingerprint.
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