Robust Monte Carlo localization for mobile robots
Artificial Intelligence
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
On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and 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
Localization from mere connectivity
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Localization in wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Proceedings of the 4th workshop on Embedded networked sensors
Monte Carlo localization for mobile wireless sensor networks
Ad Hoc Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Weighted MDS for Sensor Localization
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Algorithms for Location Estimation Based on RSSI Sampling
Algorithmic Aspects of Wireless Sensor Networks
A node localization scheme for Zigbee-based sensor networks
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Localization in wireless sensor network based on multi-class support vector machines
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Dynamic simulation based localization for mobile sensor networks
MSN'07 Proceedings of the 3rd international conference on Mobile ad-hoc and sensor networks
A calibration scheme based on pool adjacent violators for localization in wireless sensor networks
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Efficient Color-theory-based Dynamic Localization for Mobile Wireless Sensor Networks
Wireless Personal Communications: An International Journal
An innovative scheme for increasing connectivity and life of ZigBee networks
The Journal of Supercomputing
IEEE 802.15.4a CSS-based mobile object locating system using sequential Monte Carlo method
Computer Communications
Efficient and accurate sensor network localization
Personal and Ubiquitous Computing
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Localization schemes for wireless sensor networks can be classified as range-based or range-free. They differ in the information used for localization. Range-based methods use range measurements, while range-free techniques only use the content of the messages. None of the existing algorithms evaluate both types of information. Most of the localization schemes do not consider mobility. In this paper, a Sequential Monte Carlo Localization Method is introduced that uses both types of information as well as mobility to obtain accurate position estimations, even when high range measurement errors are present in the network and unpredictable movements of the nodes occur. We test our algorithm in various environmental settings and compare it to other known localization algorithms. The simulations show that our algorithm outperforms these known range-oriented and range-free algorithms for both static and dynamic networks. Localization improvements range from 12% to 49% in a wide range of conditions.