Adequate RSSI determination method by making use of SVM for indoor localization

Authors:
Hirokazu Miura;Junichi Sakamoto;Noriyuki Matsuda;Hirokazu Taki;Noriyuki Abe;Satoshi Hori
Affiliations:
Graduate school of Systems Engineering, Wakayama University, Wakayama, Japan;Graduate school of Systems Engineering, Wakayama University, Wakayama, Japan;Graduate school of Systems Engineering, Wakayama University, Wakayama, Japan;Graduate school of Systems Engineering, Wakayama University, Wakayama, Japan;Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology;Institute of Technologists
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2006

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Abstract

Context-aware computing that recognizes the context in which a user performs a task is one of the most important techniques for supporting user activity in ubiquitous computing. To realize context-aware computing, a computer needs to recognize the user’s location. This paper describes a technique for location detection inside a room using radio waves from a user’s computer. The proposed technique has to be sufficiently robust to cater for dynamic environments and should require only ordinary network devices, such as radio signal emitters, without the need for special equipment. We propose performing localization by relative values of RSSI (Received Signal Strength Indicator) among wireless nodes. Furthermore, we use SVM (Support Vector Machine) to find the criteria for classification (whether a node is inside or outside a given area), in the case where absolute RSSI values are used for localization.