Algorithms for clustering data
Algorithms for clustering data
Localization from mere connectivity
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
The n-hop multilateration primitive for node localization problems
Mobile Networks and Applications
Distributed localization for anisotropic sensor networks
ACM Transactions on Sensor Networks (TOSN)
Sequential Localization of Sensor Networks
SIAM Journal on Control and Optimization
Rendered path: range-free localization in anisotropic sensor networks with holes
IEEE/ACM Transactions on Networking (TON)
Multihop Range-Free Localization in Anisotropic Wireless Sensor Networks: A Pattern-Driven Scheme
IEEE Transactions on Mobile Computing
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Anisotropic networks are characterized by the properties that vary with the direction of measurement. These characteristics are the result of geographic shape of the region, different node densities, irregular radio patterns and anisotropic terrain conditions. We propose a modification to distributed localization of anisotropic sensor networks which uses linear mapping method projecting an embedded space based on proximities into geographic distance space. This paper focuses on extracting regular structures through the distributed clustering scheme and later on carrying out the localization procedure.