Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
The bits and flops of the n-hop multilateration primitive for node localization problems
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
A delay-tolerant network architecture for challenged internets
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Proceedings of the 9th annual international conference on Mobile computing and networking
Distributed online localization in sensor networks using a moving target
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 for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Robust distributed network localization with noisy range measurements
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Node Localization Using Mobile Robots in Delay-Tolerant Sensor Networks
IEEE Transactions on Mobile Computing
Organizing a global coordinate system from local information on an ad hoc sensor network
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Range-Based localization in mobile sensor networks
EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks
Monte Carlo techniques for prediction and filtering of non-linear stochastic processes
Automatica (Journal of IFAC)
OTMCL: orientation tracking-based Monte Carlo localization for mobile sensor networks
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
An improved particle filter for WSN-aided robot localization
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Exploiting temporal stability and low-rank structure for localization in mobile networks
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Computers and Electronics in Agriculture
Fast track article: From encounters to plausible mobility
Pervasive and Mobile Computing
Energy-efficient collaborative tracking in wireless sensor networks
International Journal of Sensor Networks
Theoretical Computer Science
Mobile sensor network localization in harsh environments
DCOSS'10 Proceedings of the 6th IEEE international conference on Distributed Computing in Sensor Systems
Robust tracking algorithm for wireless sensor networks based on improved particle filter
Wireless Communications & Mobile Computing
Applicability of Hop Distance in Random Sensor Networks
Wireless Personal Communications: An International Journal
An enhanced real-time routing protocol with load distribution for mobile wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Underwater Localization and Environment Mapping Using Wireless Robots
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
Efficient and accurate sensor network localization
Personal and Ubiquitous Computing
Hi-index | 0.00 |
Localization is crucial to many applications in wireless sensor networks. In this article, we propose a range-free anchor-based localization algorithm for mobile wireless sensor networks that builds upon the Monte Carlo localization algorithm. We concentrate on improving the localization accuracy and efficiency by making better use of the information a sensor node gathers and by drawing the necessary location samples faster. To do so, we constrain the area from which samples are drawn by building a box that covers the region where anchors' radio ranges overlap. This box is the region of the deployment area where the sensor node is localized. Simulation results show that localization accuracy is improved by a minimum of 4% and by a maximum of 73% (average 30%), for varying node speeds when considering nodes with knowledge of at least three anchors. The coverage is also strongly affected by speed and its improvement ranges from 3% to 55% (average 22%). Finally, the processing time is reduced by 93% for a similar localization accuracy.