Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Multitone Spread Spectrum Communication Systems in a Multipath Rician Fading Channel
Proceedings of the 1994 International Zurich Seminar on Digital Communications: Mobile Communications: Advanced Systems and Components
Localization from mere connectivity
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Localization from Connectivity in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Robust distributed network localization with noisy range measurements
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Robust distributed node localization with error management
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Robust statistical methods for securing wireless localization in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Underground structure monitoring with wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
BeepBeep: a high accuracy acoustic ranging system using COTS mobile devices
Proceedings of the 5th international conference on Embedded networked sensor systems
Spinning beacons for precise indoor localization
Proceedings of the 6th ACM conference on Embedded network sensor systems
Perpendicular Intersection: Locating Wireless Sensors with Mobile Beacon
RTSS '08 Proceedings of the 2008 Real-Time Systems Symposium
EUL: An Efficient and Universal Localization Method for Wireless Sensor Network
ICDCS '09 Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems
Localization with snap-inducing shaped residuals (SISR): coping with errors in measurement
Proceedings of the 15th annual international conference on Mobile computing and networking
Canopy closure estimates with GreenOrbs: sustainable sensing in the forest
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Achieving range-free localization beyond connectivity
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Beyond triangle inequality: sifting noisy and outlier distance measurements for localization
INFOCOM'10 Proceedings of the 29th conference on Information communications
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Efficient scheduling for periodic aggregation queries in multihop sensor networks
IEEE/ACM Transactions on Networking (TON)
Kyun queue: a sensor network system to monitor road traffic queues
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Tracking unmodified smartphones using wi-fi monitors
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Refining hop-count for localisation in wireless sensor networks
International Journal of Sensor Networks
Hi-index | 0.00 |
Localization is a fundamental issue of wireless sensor networks that has been extensively studied in the literature. The real-world experience from GreenOrbs, a sensor network system in the forest, shows that localization in the wild remains very challenging due to various interfering factors. In this paper we propose CDL, a Combined and Differentiated Localization approach. The central idea is that ranging quality is the key that determines the overall localization accuracy. In its unremitting pursuit of better ranging quality, CDL incorporates virtual-hop localization, local filtration, and ranging-quality aware calibration. We have implemented CDL and evaluated it by extensive experiments and simulations. The results demonstrate that CDL outperforms current state-of-art approaches with better accuracy, efficiency and consistent performance.