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Sensors 2018, 18(2), 407; https://doi.org/10.3390/s18020407

Collaborative Indoor Access Point Localization Using Autonomous Mobile Robot Swarm

Department of Network Engineering and Security, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan
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Received: 3 December 2017 / Revised: 18 January 2018 / Accepted: 23 January 2018 / Published: 31 January 2018
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Abstract

Localization of access points has become an important research problem due to the wide range of applications it addresses such as dismantling critical security threats caused by rogue access points or optimizing wireless coverage of access points within a service area. Existing proposed solutions have mostly relied on theoretical hypotheses or computer simulation to demonstrate the efficiency of their methods. The techniques that rely on estimating the distance using samples of the received signal strength usually assume prior knowledge of the signal propagation characteristics of the indoor environment in hand and tend to take a relatively large number of uniformly distributed random samples. This paper presents an efficient and practical collaborative approach to detect the location of an access point in an indoor environment without any prior knowledge of the environment. The proposed approach comprises a swarm of wirelessly connected mobile robots that collaboratively and autonomously collect a relatively small number of non-uniformly distributed random samples of the access point’s received signal strength. These samples are used to efficiently and accurately estimate the location of the access point. The experimental testing verified that the proposed approach can identify the location of the access point in an accurate and efficient manner. View Full-Text
Keywords: indoor localization; rogue access point; collaborative; mobile robot swarm; Received Signal Strength Indicator; Wi-Fi; simulation; experimental testing indoor localization; rogue access point; collaborative; mobile robot swarm; Received Signal Strength Indicator; Wi-Fi; simulation; experimental testing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Awad, F.; Naserllah, M.; Omar, A.; Abu-Hantash, A.; Al-Taj, A. Collaborative Indoor Access Point Localization Using Autonomous Mobile Robot Swarm. Sensors 2018, 18, 407.

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