Decentralized Estimation and Control for Multisensor Systems
Decentralized Estimation and Control for Multisensor Systems
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Node Localization Using Mobile Robots in Delay-Tolerant Sensor Networks
IEEE Transactions on Mobile Computing
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A practical evaluation of radio signal strength for ranging-based localization
ACM SIGMOBILE Mobile Computing and Communications Review
Localization in wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Path loss exponent estimation for wireless sensor network localization
Computer Networks: The International Journal of Computer and Telecommunications Networking
Closed-form elliptic location with an arbitrary array topology
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 06
MoteTrack: a robust, decentralized approach to RF-based location tracking
Personal and Ubiquitous Computing
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
Comparison of the Mechanisms of the Zigbee's Indoor Localization Algorithm
SNPD '08 Proceedings of the 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
On assessing the accuracy of positioning systems in indoor environments
EWSN'13 Proceedings of the 10th European conference on Wireless Sensor Networks
Enhancing the performance of indoor localization using multiple steady tags
Pervasive and Mobile Computing
| Hi-index | 0.00 |
In this paper, the localization of persons by means of aWireless Sensor Network (WSN) is considered. Persons carry on-body sensor nodes and move within a WSN. The location of each person is calculated on this node and communicated through the network to a central data sink for visualization. Applications of such a system could be found in mass casualty events, firefighter scenarios, hospitals or retirement homes for example. For the location estimation on the sensor node, three derivatives of the Kalman filter and a closed-form solution (CFS) are applied, compared, and evaluated in a real-world scenario. A prototype 65-node ZigBeeWSN is implemented and data are collected in in- and outdoor environments with differently positioned on-body nodes. The described estimators are then evaluated off-line on the experimentally collected data. The goal of this paper is to present a comprehensive real-world evaluation of methods for person localization in a WSN based on received signal strength (RSS) range measurements. It is concluded that person localization in in- and outdoor environments is possible under the considered conditions with the considered filters. The compared methods allow for sufficiently accurate localization results and are robust against inaccurate range measurements.