# Salil Bharany

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/salil-bharany/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,944 |
| Field | IoT and Edge/Fog Computing |
| h-index | 29 |
| i10-index | 72 |
| Last Known Institution | Université de Moncton |
| OpenAlex ID | https://openalex.org/A5055981334 |
| ORCID iD | 0000-0002-2282-0419 |
| Works | 157 |

## Researcher papers

- [A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing](https://scholariq.org/papers/a-systematic-survey-on-energy-efficient-techniques-in-sustainable-cloud/)
- [Energy-Efficient Clustering Scheme for Flying Ad-Hoc Networks Using an Optimized LEACH Protocol](https://scholariq.org/papers/energy-efficient-clustering-scheme-for-flying-ad-hoc-networks-using-an-optimized/)
- [Energy efficient fault tolerance techniques in green cloud computing: A systematic survey and taxonomy](https://scholariq.org/papers/energy-efficient-fault-tolerance-techniques-in-green-cloud-computing-a/)
- [Energy-efficient clustering protocol for underwater wireless sensor networks using optimized glowworm swarm optimization](https://scholariq.org/papers/energy-efficient-clustering-protocol-for-underwater-wireless-sensor-networks/)
- [Energy Efficient Clustering Protocol for FANETS Using Moth Flame Optimization](https://scholariq.org/papers/energy-efficient-clustering-protocol-for-fanets-using-moth-flame-optimization/)
- [A Comparative Study of Software Defined Networking Controllers Using Mininet](https://scholariq.org/papers/a-comparative-study-of-software-defined-networking-controllers-using-mininet/)
- [Blockchain-Based Solutions Supporting Reliable Healthcare for Fog Computing and Internet of Medical Things (IoMT) Integration](https://scholariq.org/papers/blockchain-based-solutions-supporting-reliable-healthcare-for-fog-computing-and/)
- [Wildfire Monitoring Based on Energy Efficient Clustering Approach for FANETS](https://scholariq.org/papers/wildfire-monitoring-based-on-energy-efficient-clustering-approach-for-fanets/)
- [Enhancing Brain Tumor Classification by a Comprehensive Study on Transfer Learning Techniques and Model Efficiency Using MRI Datasets](https://scholariq.org/papers/enhancing-brain-tumor-classification-by-a-comprehensive-study-on-transfer/)
- [Efficient Middleware for the Portability of PaaS Services Consuming Applications among Heterogeneous Clouds](https://scholariq.org/papers/efficient-middleware-for-the-portability-of-paas-services-consuming-applications/)
- [YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation](https://scholariq.org/papers/yolo-leafnet-a-robust-deep-learning-framework-for-multispecies-plant-disease/)

## Researcher topics

- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Researcher university

- [Université de Moncton](https://scholariq.org/institutions/universite-de-moncton/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.