Mobile-assisted localization in wireless sensor networks

By Bodhi Priyantha, Hari Balakrishnan, Erik D. Demaine, Seth J. Teller. Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies., 2005

317 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Scalable Localization with Mobility Prediction for Underwater Sensor Networks (2008, background): “Localization for terrestrial sensor networks has been widely explored, and a significant number of schemes have been proposed [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44].”
A Survey on Localization for Mobile Wireless Sensor Networks (2009, background): “Localization by time-of-arrival (TOA) [48], [49], [50] measures the time a signal takes to arrive at some number of sensors.”
ArrayTrack: A Fine-Grained Indoor Location System (2011, unknown): “Still other model-based proposals are targeted towards ad hoc mesh networks [6, 20, 24].”
The Cricket indoor location system (2005, methodology): “This chapter discuss Mobile-Assisted Topology generation (MAT), an algorithm which enables us to obtain inter-beacon distances using distance measurements taken at a listener [73].”
A Theory of Network Localization (2006, methodology): “Our conditions for unique localizability are also applied in [49] in an algorithm which uses mobility to obtain distance measurements which result in globally rigid constraint structures.”