Robotics-based location sensing using wireless ethernet
Proceedings of the 8th annual international conference on Mobile computing and networking
Accuracy characterization for metropolitan-scale Wi-Fi localization
Proceedings of the 3rd international conference on Mobile systems, applications, and services
802.11 Wireless Networks: The Definitive Guide, Second Edition
802.11 Wireless Networks: The Definitive Guide, Second Edition
Sensor Measurements for Wi-Fi Location with Emphasis on Time-of-Arrival Ranging
IEEE Transactions on Mobile Computing
Lifetag: WiFi-based continuous location logging for life pattern analysis
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
Private and Flexible Proximity Detection in Mobile Social Networks
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
Empirical models of privacy in location sharing
Proceedings of the 12th ACM international conference on Ubiquitous computing
About Location-aware Mobile Messages: Expert System Based on WiFi Spots
NGMAST '11 Proceedings of the 2011 Fifth International Conference on Next Generation Mobile Applications, Services and Technologies
Anonymous user tracking for location-based community services
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Disseminating active map information to mobile hosts
IEEE Network: The Magazine of Global Internetworking
Context-Aware Browsing -- A Practical Approach
NGMAST '12 Proceedings of the 2012 Sixth International Conference on Next Generation Mobile Applications, Services and Technologies
Tracking unmodified smartphones using wi-fi monitors
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
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This paper introduces a new way of delivering local messages to mobile subscribers. Our application presents a mashup from passive monitoring for smart phones and cloud-based messaging for mobile operational systems. Passive monitoring can detect the presence of mobile phones without active participation from the users. It does not require prior calibration, nor does it require mobile users to mark their own location on social networks (like traditional check-ins). Mobile users do not need to run location track applications on their phones the. At the same time, a production-based expert system built around cloud messaging allows interested parties to directly deliver their custom information to mobile users in proximity.