Results 1 - 10
of
126
COOPERATIVE LOCALIZATION USING EFFICIENT KALMAN FILTERING FOR MOBILE WIRELESS SENSOR NETWORKS
"... We consider the problem of cooperative localization in mobile wireless sensor networks (WSNs). To be able to continuously localize the mobile network, we propose to exploit the knowledge of the location of the anchor nodes to linearize the nonlinear distance measurements with respect to the location ..."
Abstract
- Add to MetaCart
to the location of the unknown nodes. Based on this linearized measurement model, we estimate the location of the unknown nodes using a Kalman filter (KF) instead of a suboptimal extended KF (EKF) and try to estimate the corresponding unknown measurement noise covariance matrix using an iterative process
Wireless Sensor Networking in Challenging Environments
, 2014
"... This Dissertation is brought to you for free and open access by Washington University Open Scholarship. It has been accepted for inclusion in All Theses and Dissertations (ETDs) by an authorized administrator of Washington University Open Scholarship. For more information, please contact ..."
Abstract
- Add to MetaCart
This Dissertation is brought to you for free and open access by Washington University Open Scholarship. It has been accepted for inclusion in All Theses and Dissertations (ETDs) by an authorized administrator of Washington University Open Scholarship. For more information, please contact
Towards self-organizing Kalman filters
- In Proceedings of the 15th International Conference on Information Fusion (FUSION), Singapore, 9–12
, 2012
"... Abstract-Distributed Kalman filtering is an important signal processing method for state estimation in large-scale sensor networks. However, existing solutions do not account for unforeseen events that are likely to occur and thus dramatically changing the operational conditions (e.g. node failure, ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
. Such distributed Kalman filters typically process the sensor measurements locally at each node rather then communicating them to a single, central node. Characteristic approaches to distributed Kalman filtering are presented in [1]-[4] and the references therein. The proposed methods perform a modified Kalman
ICWMC 2013: The Ninth International Conference on Wireless and Mobile Communications An Improved Extended Kalman Filter for Localization of a Mobile Node with NLOS Anchors
"... Abstract—Tracking a mobile node using a wireless sensor network under non-line of sight (NLOS) conditions, has been considered in this work, which is of interest to indoor positioning applications. A hybrid of time difference of arrival (TDOA) and angle of arrival (AOA) measurements, suitable for tr ..."
Abstract
- Add to MetaCart
Abstract—Tracking a mobile node using a wireless sensor network under non-line of sight (NLOS) conditions, has been considered in this work, which is of interest to indoor positioning applications. A hybrid of time difference of arrival (TDOA) and angle of arrival (AOA) measurements, suitable
Location Tracking in Wireless Local Area Networks with Adaptive Radio Maps
- Proc. IEEE Int’l Conf. Acoustics, Speech, and Signal Processing (ICASSP
, 2006
"... This paper proposes a dynamic MMSE estimator for tracking mobile users in indoor Wireless Local Area Networks (WLAN) based on Received Signal Strength (RSS). The method uses a training-based static estimate obtained by an adaptive kernel density estimator as the input into a Kalman Filter. Predictio ..."
Abstract
-
Cited by 2 (1 self)
- Add to MetaCart
This paper proposes a dynamic MMSE estimator for tracking mobile users in indoor Wireless Local Area Networks (WLAN) based on Received Signal Strength (RSS). The method uses a training-based static estimate obtained by an adaptive kernel density estimator as the input into a Kalman Filter
Anchorless cooperative localization for mobile wireless sensor networks
- Proc. of WICSP
, 2011
"... Weproposetwoalgorithmsforanchorlesscooperativenetworklocalizationinmobile wireless sensor networks (WSNs). In order to continuously localize the mobilenetwork, giventhepairwisedistancemeasurementsbetweendifferentwireless sensor nodes, we propose to use subspace tracking to track the variations in si ..."
Abstract
-
Cited by 3 (1 self)
- Add to MetaCart
Weproposetwoalgorithmsforanchorlesscooperativenetworklocalizationinmobile wireless sensor networks (WSNs). In order to continuously localize the mobilenetwork, giventhepairwisedistancemeasurementsbetweendifferentwireless sensor nodes, we propose to use subspace tracking to track the variations
Article TDMA-Based Dual-Mode Communication for Mobile Wireless Sensor Networks
, 2012
"... sensors ..."
SIMULATION, DEVELOPMENT AND DEPLOYMENT OF MOBILE WIRELESS SENSOR NETWORKS FOR MIGRATORY BIRD TRACKING
, 2012
"... This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable reli ..."
Abstract
- Add to MetaCart
This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable
Indoor Location Tracking in Non-line-ofSight Environments Using a
- IEEE 802.15.4a Wireless Network
, 2009
"... Abstract—Indoor location tracking of mobile robots or transport vehicles using wireless technology is attractive for many applications. IEEE 802.15.4a wireless networks offer an inexpensive facility for localizing mobile devices by time-based range measurements. The main problems of time-based range ..."
Abstract
-
Cited by 6 (1 self)
- Add to MetaCart
Abstract—Indoor location tracking of mobile robots or transport vehicles using wireless technology is attractive for many applications. IEEE 802.15.4a wireless networks offer an inexpensive facility for localizing mobile devices by time-based range measurements. The main problems of time
Flush: A Reliable Bulk Transport Protocol for Multihop Wireless Networks
"... We present Flush, a reliable, high goodput bulk data trans-port protocol for wireless sensor networks. Flush provides end-to-end reliability, reduces transfer time, and adapts to time-varying network conditions. It achieves these proper-ties using end-to-end acknowledgments, implicit snooping of con ..."
Abstract
- Add to MetaCart
We present Flush, a reliable, high goodput bulk data trans-port protocol for wireless sensor networks. Flush provides end-to-end reliability, reduces transfer time, and adapts to time-varying network conditions. It achieves these proper-ties using end-to-end acknowledgments, implicit snooping
Results 1 - 10
of
126