Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
GPS-free Positioning in Mobile Ad Hoc Networks
Cluster Computing
Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks
ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
The n-hop multilateration primitive for node localization problems
Mobile Networks and Applications
Semidefinite programming for ad hoc wireless sensor network localization
Proceedings of the 3rd international symposium on Information processing in sensor networks
Error characteristics of ad hoc positioning systems (aps)
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Localization from Connectivity in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
An Analysis of Error Inducing Parameters in Multihop Sensor Node Localization
IEEE Transactions on Mobile Computing
Distributed protocols for ensuring both coverage and connectivity of a wireless sensor network
ACM Transactions on Sensor Networks (TOSN)
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Optimal sensor placement for agent localization
ACM Transactions on Sensor Networks (TOSN)
Probabilistic model of triangulation
Proceedings of the 2008 ACM symposium on Solid and physical modeling
An Algorithm for Distributed Beacon Selection
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Vehicular Ad Hoc Networks: A New Challenge for Localization-Based Systems
Computer Communications
On the interaction between localization and location verification for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Algorithms and Protocols for Wireless Sensor Networks
Algorithms and Protocols for Wireless Sensor Networks
Algorithms and Protocols for Wireless, Mobile Ad Hoc Networks
Algorithms and Protocols for Wireless, Mobile Ad Hoc Networks
An Efficient Directed Localization Recursion Protocol for Wireless Sensor Networks
IEEE Transactions on Computers
Localization performance comparison using optimal and sub-optimal lateration in WSNs
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Quality of Trilateration: Confidence-Based Iterative Localization
IEEE Transactions on Parallel and Distributed Systems
Beyond triangle inequality: sifting noisy and outlier distance measurements for localization
INFOCOM'10 Proceedings of the 29th conference on Information communications
Fundamental limits of wideband localization: part I: a general framework
IEEE Transactions on Information Theory
Beyond trilateration: on the localizability of wireless ad hoc networks
IEEE/ACM Transactions on Networking (TON)
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Localization systems for wireless sensor networks
IEEE Wireless Communications
IEEE Transactions on Wireless Communications
A survey on position-based routing in mobile ad hoc networks
IEEE Network: The Magazine of Global Internetworking
Secure localization and location verification in wireless sensor networks: a survey
The Journal of Supercomputing
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Many ad hoc network applications rely on nodes having accurate knowledge of their geographic locations. However, inherent in all localization systems is a degree of error in computed positions, which can compromise the accuracy and efficiency of location dependent applications and protocols. We propose a scheme in which nodes estimate the amount of error present in their derived positions with a certain probability. Localization error variance is modeled with a function based on the calculated theoretical lower bound on estimator variance, given by the Cramer-Rao Lower Bound (CRLB). Probabilistic methods then use this variance model to estimate upper bounds on localization error, which are computed locally by wireless devices. Best fits between the model and the actual location error variance using both time of arrival (TOA) and received signal strength (RSS) distance measurements were determined by a least squares estimator over repeated localization simulations. The proposed method was used to accurately estimate location error at given probabilities in a multitude of randomly generated network topologies within +/-10% of the actual localization error. Once known, estimates can be integrated into location dependent schemes to improve on their robustness to localization error.