I
Ilangko Balasingham
Researcher at Norwegian University of Science and Technology
Publications - 301
Citations - 5332
Ilangko Balasingham is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Wireless sensor network & Wireless. The author has an hindex of 34, co-authored 277 publications receiving 4189 citations. Previous affiliations of Ilangko Balasingham include University of Oslo & Rikshospitalet–Radiumhospitalet.
Papers
More filters
Proceedings ArticleDOI
Wireless Capsule Video Endoscopy For Population-Based Colon Cancer Screening Using 5G network
TL;DR: A battery-free communication system for a wireless video capsule endoscope with potential video streaming of a rate of up to 15 Mbps, using the 5G deployed network with edge computing and slicing to transmit the video data from the capsule to a high-performance computing platform in a secure way with guaranteed end-to-end latency to perform polyp detection and localization.
Journal ArticleDOI
Optical Modelling and Characterization of Demyelinated Nerve Using Graphene-Based Photonic Structure
Amir Maghoul,Ali Rostami,Mladen Veletic,Bige D. Unluturk,Nilojan Gnanakulasekaran,Ilangko Balasingham +5 more
TL;DR: A new engineering approach is established for differentiation between demyelinated and myelinated axons by analyzing spectral responses resulting from the optical simulation framework and designing a nanostructure configured with silicon dioxide, graphene, and gold nanoparticles to function as a biochip recognizing myelination axon damage under the surface plasmon effect.
Proceedings ArticleDOI
Layered source-channel coding for uniformly distributed sources over parallel fading channels
TL;DR: The end-to-end mean square error (MSE) distortion, including distortion caused by the quantization process, the lossy compression, and channel errors, is adopted as the performance metric and a power allocation strategy across the layers is derived to minimize the end- to-end MSE distortion.
Proceedings ArticleDOI
A Robust Communication System Based on Joint-Source Channel Coding for a Uniform Source
TL;DR: A communication system based on the joint source-channel coding principle where a fixed-rate source encoder using neither a codebook nor an entropy encoder is exploited to avoid the error propagation effect and thus gain in system robustness is proposed.
Proceedings ArticleDOI
An ant colony biological inspired way for statistical shortest paths in complex brain networks
TL;DR: The results show the proposed way is a successful method in detecting the statistical shortest path in brain networks when nerves' link broken, with the advantages of fast convergence and robustness.