Long-term large-scale sensing in the forest: recent advances and future directions of GreenOrbs
Frontiers of Computer Science in China
Page size optimization for code dissemination in wireless sensor networks
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Two-stage target locating algorithm in three dimensional WSNs under typical deployment schemes
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Beyond trilateration: on the localizability of wireless ad hoc networks
IEEE/ACM Transactions on Networking (TON)
Approaching efficient flooding protocol design in low-duty-cycle wireless sensor networks
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
Tracking moving objects with few handovers
WADS'11 Proceedings of the 12th international conference on Algorithms and data structures
Component-based localization in sparse wireless networks
IEEE/ACM Transactions on Networking (TON)
Unified fixed-point analysis of IEEE 802.11 WLAN under saturated and unsaturated conditions
Wireless Communications & Mobile Computing
Review: Reliable spatial window aggregation query processing algorithm in wireless sensor networks
Journal of Network and Computer Applications
Beyond triangle inequality: Sifting noisy and outlier distance measurements for localization
ACM Transactions on Sensor Networks (TOSN)
OFA: An optimistic approach to conquer flip ambiguity in network localization
Computer Networks: The International Journal of Computer and Telecommunications Networking
Localization of wireless sensor networks in the wild: pursuit of ranging quality
IEEE/ACM Transactions on Networking (TON)
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Location error estimation in wireless ad hoc networks
Ad Hoc Networks
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The proliferation of wireless and mobile devices has fostered the demand for context-aware applications, in which location is one of the most significant contexts. Multilateration, as a basic building block of localization, however, has not yet overcome the challenges of 1) poor ranging measurements; 2) dynamic and noisy environments; and 3) fluctuations in wireless communications. Hence, multilateration-based approaches often suffer from poor accuracy and can hardly be employed in practical applications. In this study, we propose Quality of Trilateration (QoT) that quantifies the geometric relationship of objects and ranging noises. Based on QoT, we design a confidence-based iterative localization scheme, in which nodes dynamically select trilaterations with the highest quality for location computation. To validate this design, a prototype network based on wireless sensor motes is deployed and the results show that QoT well represents trilateration accuracy, and the proposed scheme significantly improves localization accuracy.