Comparison of Various Indoor Positioning Systems Techniques
Derya Demirkol1, Tamer Dag2, Taner Arsan3
1Derya Demirkol, Department of Computer Engineering, Kadir Has University, Turkey.
2Tamer Dag, Department of Computer Engineering, Kadir Has University, Turkey.
3Taner Arsan, Department of Computer Engineering, Kadir Has University, Turkey.
Manuscript received on 15 June 2016 | Revised Manuscript received on 25 June 2016 | Manuscript Published on 30 June 2016 | PP: 26-30 | Volume-6 Issue-1, June 2016 | Retrieval Number: A2324066116/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Localization is one of most important topic. GPS is perfectly using outside environment. However it is not possible to use indoor environment. In this paper, Triangulation, Maximum Likelihood and Fuzzy Logic algorithms were developed. Algorithms work with same environment and same conditions. Algorithms were compared each other in order to find better accuracy.
Keywords: Indoor Positioning, Triangulation, Maximum Likelihood, Fuzzy Logic, Received Signal Strength, Wireless Network.
Scope of the Article: Adaptive Systems