Matrix analysis
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Building efficient wireless sensor networks with low-level naming
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Convex Optimization
An Analysis of Error Inducing Parameters in Multihop Sensor Node Localization
IEEE Transactions on Mobile Computing
Distributed weighted-multidimensional scaling for node localization in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Semidefinite programming based algorithms for sensor network localization
ACM Transactions on Sensor Networks (TOSN)
Cramér-Rao lower bounds for the synchronization of UWB signals
EURASIP Journal on Applied Signal Processing
Timing acquisition with noisy template for ultra-wideband communications in dense multipath
EURASIP Journal on Applied Signal Processing
A constrained least squares approach to mobile positioning: algorithms and optimality
EURASIP Journal on Applied Signal Processing
Time of arrival estimation for UWB localizers in realistic environments
EURASIP Journal on Applied Signal Processing
Cramér-Rao-type bounds for localization
EURASIP Journal on Applied Signal Processing
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
A multidimensional scaling framework for mobile location using time-of-arrival measurements
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A Generalized Subspace Approach for Mobile Positioning With Time-of-Arrival Measurements
IEEE Transactions on Signal Processing
Least squares algorithms for time-of-arrival-based mobile location
IEEE Transactions on Signal Processing
A Novel Weighted Multidimensional Scaling Analysis for Time-of-Arrival-Based Mobile Location
IEEE Transactions on Signal Processing - Part I
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
Super-resolution TOA estimation with diversity for indoor geolocation
IEEE Transactions on Wireless Communications
Channel estimation for ultra-wideband communications
IEEE Journal on Selected Areas in Communications
Ranging in a dense multipath environment using an UWB radio link
IEEE Journal on Selected Areas in Communications
Nonparametric belief propagation for self-localization of sensor networks
IEEE Journal on Selected Areas in Communications
Location-based compromise-tolerant security mechanisms for wireless sensor networks
IEEE Journal on Selected Areas in Communications
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Sensor positioning is an important task of location-aware wireless sensor networks. In most sensor positioning systems, sensors and beacons need to emit ranging signals to each other. Sensor ranging energy should be low to prolong system lifetime, but sufficiently high to fulfill prescribed accuracy requirements. This motivates us to investigate ranging energy optimization problems. We address ranging energy optimization for an unsynchronized positioning system, which features robust sensor positioning (RSP) in the sense that a specific accuracy requirement is fulfilled within a prescribed service area. We assume a line-of-sight (LOS) channel exists between the sensor and each beacon. The positioning is implemented by time-of-arrival (TOA) based two-way ranging between a sensor and beacons, followed by a location estimation at a central processing unit. To establish a dependency between positioning accuracy and ranging energy, we assume the adopted TOA and location estimators are unbiased and attain the associated Cramér-Rao bound. The accuracy requirement has the same form as the one defined by the Federal Communication Commission (FCC), and we present two constraints with linear-matrix-inequality form for the RSP. Ranging energy optimization problems, as well as a practical algorithm based on semidefinite programming are proposed. The effectiveness of the algorithm is illustrated by numerical experiments.