Localization from mere connectivity
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Recursive Position Estimation in Sensor Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Localization from Connectivity in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Robust distributed node localization with error management
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Distributed weighted-multidimensional scaling for node localization in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Semidefinite programming based algorithms for sensor network localization
ACM Transactions on Sensor Networks (TOSN)
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Distributed sensor localization in random environments using minimal number of anchor nodes
IEEE Transactions on Signal Processing
Sensor network based vehicle classification and license plate identification system
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
Distributed wireless sensor network localization via sequential greedy optimization algorithm
IEEE Transactions on Signal Processing
Mobile element assisted cooperative localization for wireless sensor networks with obstacles
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
| Hi-index | 0.00 |
Localization is a fundamental and vital problem in wireless sensor networks. This paper presents an optimizing framework for localization based on barycentric coordinates. The framework consists of two components. The first component retains the structure revealed by the distances between pairs of nodes; the second component constrains the boundary nodes to maintain the distance with their neighbor nodes. A hybrid localization algorithm is derived on top of the optimizing framework. A part of the computation is performed collaboratively by nodes, whereas the rest is executed on the sink node. Experimental results show that the proposed localization algorithm obtains lower location errors without higher communication costs.