AP Deployment Optimization Based on Bluetooth Fingerprint Database Discrimination

Ren, Haoliang and Tian, Zengshan and Zhou, Mu and Jin, Xiaoxiao and Lu, Shuai (2019) AP Deployment Optimization Based on Bluetooth Fingerprint Database Discrimination. In: Mobimedia 2019, 29-30 Oct 2019, Wehai, China.

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Abstract

In indoor fingerprint positioning system, Access Point (AP) deployment costs a lot of manpower and time, and the deployment efficiency of existing methods is extremely low due to the complexity and dynamics of indoor environment. In order to solve this problem, this paper proposes an optimal AP deployment algorithm. First of all, wireless signal propagation model is established from indoor environment. Then simulated fingerprint database is constructed based on initial AP deployment. Finally, greedy algorithm is selected to optimize the deployment of APs. The experimental results show that this method can be well adapted to the indoor environment with higher accuracy compared to the empirical AP deployment.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: indoor positioning fingerprint database access point deployment greedy algorithm signal propagation model
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor I.
Date Deposited: 09 Sep 2020 09:03
Last Modified: 09 Sep 2020 09:03
URI: https://eprints.eudl.eu/id/eprint/94

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