Jyoti Kashniyal

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This paper proposes a progressive Isomap algorithm for node localization. The algorithm is an extension of centralized Isomap and is capable of effectively localizing new nodes progressively, without neglecting preceding computational results. In the initial startup phase, sensor nodes within two hop range of three non-collinear anchor nodes are localized(More)
Patch and stitch is a well emerging technique for localization in wireless sensor networks. However, due to the presence of measurement error ordinary patch stitch may suffer from flip error. Particularly, during incremental stitching, flip error propagates from one phase to another causing avalanche error propagation. In this paper, we propose an improved(More)
Accurate and cost-effective localization is an important requirement for several sensor network applications. In this paper, we compare two localization methods-multilateration and Isomap and study some of the key issues that affect their performance. We also analyze the flip ambiguity problem and the effect of applying a robustness criterion in both the(More)
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