%0 Book Section %1 springerlink:10.1007/978-3-540-74829-8_130 %A Miura, Hirokazu %A Hirano, Kazuhiko %A Matsuda, Noriyuki %A Taki, Hirokazu %A Abe, Norihiro %A Hori, Satoshi %B Knowledge-Based Intelligent Information and Engineering Systems %D 2010 %E Apolloni, Bruno %E Howlett, Robert %E Jain, Lakhmi %I Springer Berlin / Heidelberg %K rssi wlanpos %P 1065-1072 %T Indoor Localization for Mobile Node Based on RSSI %U http://dx.doi.org/10.1007/978-3-540-74829-8_130 %V 4694 %X 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, and also our system support the node mobility. We evaluate the performance of our system in the environment where the node is movable.

@incollection{springerlink:10.1007/978-3-540-74829-8_130, 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, and also our system support the node mobility. We evaluate the performance of our system in the environment where the node is movable.}, added-at = {2010-10-13T10:57:56.000+0200}, affiliation = {Faculty of Systems Engineering, Wakayama University}, author = {Miura, Hirokazu and Hirano, Kazuhiko and Matsuda, Noriyuki and Taki, Hirokazu and Abe, Norihiro and Hori, Satoshi}, biburl = {https://www.bibsonomy.org/bibtex/254fd321094fa7b5543ef8b2153aa5d5d/kw}, booktitle = {Knowledge-Based Intelligent Information and Engineering Systems}, editor = {Apolloni, Bruno and Howlett, Robert and Jain, Lakhmi}, interhash = {6630eac0727803cb41afa03e5a371ce9}, intrahash = {54fd321094fa7b5543ef8b2153aa5d5d}, keywords = {rssi wlanpos}, note = {10.1007/978-3-540-74829-8_130}, pages = {1065-1072}, publisher = {Springer Berlin / Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2010-10-13T10:57:56.000+0200}, title = {Indoor Localization for Mobile Node Based on RSSI}, url = {http://dx.doi.org/10.1007/978-3-540-74829-8_130}, volume = 4694, year = 2010 }