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
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Robust distributed network localization with noisy range measurements
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Connected rigidity matroids and unique realizations of graphs
Journal of Combinatorial Theory Series B
GPS-Free node localization in mobile wireless sensor networks
MobiDE '06 Proceedings of the 5th ACM international workshop on Data engineering for wireless and mobile access
Localization in sparse networks using sweeps
Proceedings of the 12th annual international conference on Mobile computing and networking
A Theory of Network Localization
IEEE Transactions on Mobile Computing
Localization with Dive'N'Rise (DNR) beacons for underwater acoustic sensor networks
Proceedings of the second workshop on Underwater networks
AUV-Aided Localization for Underwater Sensor Networks
WASA '07 Proceedings of the International Conference on Wireless Algorithms,Systems and Applications
Connectivity-based localization of large-scale sensor networks with complex shape
ACM Transactions on Sensor Networks (TOSN)
Distributed sensor localization in random environments using minimal number of anchor nodes
IEEE Transactions on Signal Processing
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Localization is a fundamental problem in wireless sensor networks. Current localization algorithms mainly focus on checking the localizability of a network and/or how to localize as many nodes as possible given a static set of anchor nodes and distance measurements. In this paper, we study a new optimization problem, minimum cost localization problem, which aims to localize all sensors in a network using the minimum number (or total cost) of anchor nodes given the distance measurements. We show this problem is very challenging and then present a set of greedy algorithms using both trilateration and local sweep operations to address the problem. Extensive simulations have been conducted and demonstrate the efficiency of our algorithms.