The anatomy of a context-aware application
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Context-Aware Computing Applications
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Adequate RSSI determination method by making use of SVM for indoor localization
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Indoor location determination using a topological model
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Antenna diversity using single antenna in robot communication
Digital Signal Processing
Radiation pattern correlation for mobile robot localization in low power wireless networks
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A study on navigation system for pedestrians based on street illuminations
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Signs of a bad neighborhood: a lightweight metric for anomaly detection in mobile ad hoc networks
Proceedings of the 8h ACM symposium on QoS and security for wireless and mobile networks
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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.