PPR: partial packet recovery for wireless networks
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Harnessing exposed terminals in wireless networks
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
DIN: An Ad-Hoc Algorithm to Estimate Distances in Wireless Sensor Networks
ADHOC-NOW '08 Proceedings of the 7th international conference on Ad-hoc, Mobile and Wireless Networks
Robotic vocabulary building using extension inference and implicit contrast
Artificial Intelligence
SurroundSense: mobile phone localization via ambience fingerprinting
Proceedings of the 15th annual international conference on Mobile computing and networking
Speed, reliability and energy efficiency of HashSlot communication in WSN based localization systems
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
BKCAS: a distributed context-aware pervasive information system to support user roaming
International Journal of Intelligent Systems Technologies and Applications
Robust System for Indoor Localisation and Identification for the Health Care Environment
Wireless Personal Communications: An International Journal
VI-Navi: a novel indoor navigation system for visually impaired people
Proceedings of the 12th International Conference on Computer Systems and Technologies
Precise indoor localization using PHY layer information
Proceedings of the 10th ACM Workshop on Hot Topics in Networks
A novel acoustic indoor localization system employing CDMA
Digital Signal Processing
You are facing the Mona Lisa: spot localization using PHY layer information
Proceedings of the 10th international conference on Mobile systems, applications, and services
No need to war-drive: unsupervised indoor localization
Proceedings of the 10th international conference on Mobile systems, applications, and services
Capacitive indoor positioning and contact sensing for activity recognition in smart homes
Journal of Ambient Intelligence and Smart Environments
An artificial neural network approach to the problem of wireless sensors network localization
Robotics and Computer-Integrated Manufacturing
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
Self-organised localisation in indoor environments using the ALF framework
International Journal of Communication Networks and Distributed Systems
Avoiding multipath to revive inbuilding WiFi localization
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Acoustical ranging techniques in embedded wireless sensor networked devices
ACM Transactions on Sensor Networks (TOSN)
Taxonomy of Fundamental Concepts of Localization in Cyber-Physical and Sensor Networks
Wireless Personal Communications: An International Journal
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Indoor environments present opportunities for a rich set of location-aware applications such as navigation tools for humans and robots, interactive virtual games, resource discovery, asset tracking, location-aware sensor networking etc. Typical indoor applications require better accuracy than what current outdoor location systems provide. Outdoor location technologies such as GPS have poor indoor performance because of the harsh nature of indoor environments. Further, typical indoor applications require different types of location information such as physical space, position and orientation. This dissertation describes the design and implementation of the Cricket indoor location system that provides accurate location in the form of user space, position and orientation to mobile and sensor network applications. Cricket consists of location beacons that are attached to the ceiling of a building, and receivers, called listeners, attached to devices that need location. Each beacon periodically transmits its location information in an RF message. At the same time, the beacon also transmits an ultrasonic pulse. The listeners listen to beacon transmissions and measure distances to nearby beacons, and use these distances to compute their own locations. This active-beacon passive-listener architecture is scalable with respect to the number of users, and enables applications that preserve user privacy. This dissertation describes how Cricket achieves accurate distance measurements between beacons and listeners. Once the beacons are deployed, the MAT and AFL algorithms, described in this dissertation, use measurements taken at a mobile listener to configure the beacons with a coordinate assignment that reflects the beacon layout. This dissertation presents beacon interference avoidance and detection algorithms, as well as outlier rejection algorithms to prevent and filter out outlier distance estimates caused by uncoordinated beacon transmissions. The Cricket listeners can measure distances with an accuracy of 5 cm. The listeners can detect boundaries with an accuracy of 1 cm. Cricket has a position estimation accuracy of 10 cm and an orientation accuracy of 3 degrees. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.)