Eddies: continuously adaptive query processing
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Leader election algorithms for mobile ad hoc networks
DIALM '00 Proceedings of the 4th international workshop on Discrete algorithms and methods for mobile computing and communications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficient topology-aware overlay network
ACM SIGCOMM Computer Communication Review
Localization from mere connectivity
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Topology control for wireless sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Report from the first workshop on geo sensor networks
ACM SIGMOD Record
Distributed weighted-multidimensional scaling for node localization in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Positioning in ad hoc sensor networks
IEEE Network: The Magazine of Global Internetworking
Heuristic algorithms for effective broker deployment
Information Technology and Management
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Many applications of wireless sensor networks (WSN) in industry can benefit from fine-grained localisation. In this paper, we propose an accurate, distributed localisation method which uses connectivity measurements to localise sensor nodes in WSN. The proposed method is based on a manifold learning embedding algorithm that adaptively emphasises the most accurate range measurements and naturally accounts for communication constraints within the WSN. Each node adaptively chooses a neighbourhood of sensor, updates its position estimate by minimising a local cost function and then passes this update to neighbouring sensors. Simulation results demonstrate that the proposed method is more robust to measurement errors than previous proposals and it can achieve comparable results using many fewer anchor nodes than previous methods.