Rashmi Ranjan Sahoo

Orcid: 0000-0003-4826-8738

According to our database1, Rashmi Ranjan Sahoo authored at least 12 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Energy-and-deadline-aware optimal resource management and task consolidation using a hybrid Adaptive Neuro-Fuzzy Inference System with binary Chaotic Jaya optimization for cloud-based systems.
J. Cloud Comput., December, 2026

2025
HWOA-RNN: A Feedback-Aware Deep Optimization Model for Efficient Cloud Task Allocation.
Proceedings of the 2025 IEEE 19th International Conference on Industrial and Information Systems (ICIIS), 2025

2024
ORS: A novel Olive Ridley Survival inspired Meta-heuristic Optimization Algorithm.
CoRR, 2024

2022
TFMD-SDVN: a trust framework for misbehavior detection in the edge of software-defined vehicular network.
J. Supercomput., 2022

2020
Local Traffic Aware Unicast Routing Scheme for Connected Car System.
IEEE Trans. Intell. Transp. Syst., 2020

2019
LB-IDS: Securing Wireless Sensor Network Using Protocol Layer Trust-Based Intrusion Detection System.
J. Comput. Networks Commun., 2019

2018
A routing protocol for urban vehicular ad hoc networks to support non-safety applications.
Digit. Commun. Networks, 2018

2016
A bio inspired and trust based approach for clustering in WSN.
Nat. Comput., 2016

2014
Lightweight Trust Model for Clustered WSN.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

Intelligent Intrusion Detection System in Wireless Sensor Network.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

2013
Design and VLSI implementation of power efficient processor for object localisation in large WSN.
Int. J. High Perform. Syst. Archit., 2013

Trust Based Secure and Energy Efficient Clustering in Wireless Sensor Network: A Bee Mating Approach.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013


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