Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/11387
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKumar, P.
dc.contributor.authorChaturvedi, A.
dc.date.accessioned2020-03-31T08:31:16Z-
dc.date.available2020-03-31T08:31:16Z-
dc.date.issued2018
dc.identifier.citationComputer Communications, 2018, Vol.117, , pp.46-57en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/11387-
dc.description.abstractMaintaining the desired service norm in wireless sensor networks (WSNs) over a stipulated lifetime is an important issue as it influences the application or utility of such networks. Inevitably, the impact of uncertainties in query generation process is of significant importance and it rely upon the associated spatio-temporal parameters. Usage of a probabilistic model is investigated to treat the inherent uncertainties. Queries inter-arrival-time-rate (?t) and spatial distribution or density (?a) are incorporated to regulate the parametric Poisson PMF model. Instead of considering crisp values of ?a and ?t that devoid parametric uncertainty, the values are inferred using plane-intervals and fuzzy-intervals. A mathematical framework is presented considering Poisson PMF model with parametric intervals, sink attributes in particular its multiplicity and motion aspects, and the quadrants fusion concept by deliberately modeling the problem in high-dimension space. To validate the proposed approach, uses of four different clustering schemes namely SKM, SFCM, DKM and DFCM are investigated. Combinations of sink attributes and quadrants fusion are carried out as different network scenarios. Obtained simulation results demonstrate the benefit of involving specific sink attributes and enabling quadrants fusion strategy. Based on energy metrics assessment, inference about early estimate of initial energy reserve (IER) or its sufficiency is established. 2018 Elsevier B.V.en_US
dc.titleFuzzy-interval based probabilistic query generation models and fusion strategy for energy efficient wireless sensor networksen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.