scispace - formally typeset
S

Sudeep Tanwar

Researcher at Nirma University of Science and Technology

Publications -  410
Citations -  11253

Sudeep Tanwar is an academic researcher from Nirma University of Science and Technology. The author has contributed to research in topics: Computer science & Smart grid. The author has an hindex of 43, co-authored 263 publications receiving 5402 citations. Previous affiliations of Sudeep Tanwar include Bharat Institute of Technology & University Institute of Technology, Burdwan University.

Papers
More filters
Proceedings ArticleDOI

Block-RAS: A P2P Resource Allocation Scheme in 6G Environment with Public Blockchains

TL;DR: In this paper, a blockchain-based resource allocation scheme is proposed to manage the demand-supply of resources between the users and resource providing companies (RPC) in a secured and trusted environment, which provides a highly reliable, low-latency and bandwidth optimum communication between users and RPC with embedded 6G network infrastructure.
Proceedings ArticleDOI

Energy Efficient Mode Selection Scheme for Wireless Powered D2D Communications with NOMA Underlaying UAV

TL;DR: A mode selection scheme for wireless powered D2D communications underlaying UAV to improve the energy efficiency of a network and achieves better results as compared to the existing conventional NOMA and orthogonal multiple access (OMA) schemes.
Proceedings ArticleDOI

Base Station Oriented Multi Route Diversity Protocol for Wireless Sensor Networks

TL;DR: A sink based multi-route diversity (MRD) protocol is proposed, which prolongs the lifetime of the network by selecting the optimal shortest path to send the data packets to the final destination.
Proceedings ArticleDOI

Digital Twin-based Prediction for CNC Machines Inspection using Blockchain for Industry 4.0

Abstract: The rapid growth and advancement of technology in industries provide a better quality of services to the end-user in the industrial Internet of Things (IIoT). The digital twin (DT) is an innovative technology recently developed in Industry 4.0 to provide a virtual representation of physical components, products, or equipment such as computer numerical control (CNC) machines. It can be used to run simulations before manufacturing. However, traditional DT platforms lack data privacy, traceability, immutability, authentication of stakeholders. Moreover, manual prediction of the wearing of the tool condition of the CNC machine is challenging. Motivated from these gaps, in this paper, we propose a six-layered architecture for DT of CNC, which predicts CNC tool wear detection using a novel ensemble technique based soft voted prediction model consisting of XGBoost, random forest, and AdaBoost models. The proposed architecture also incorporates the public Ethereum blockchain (BC) to maintain the aforementioned issues of authentication, traceability, and transparency through constraints and automation programmed into the smart contracts (SC) developed. We evaluate the proposed scheme’s performance through simulation and compare it with other traditional approaches concerning several performance parameters (accuracy, F1-score, precision, and recall). The result shows that the proposed approach outperforms the traditional approaches on these same performance parameters such as accuracy, F1-score, precision, and recall.
Journal ArticleDOI

B-IoMV: Blockchain-based onion routing protocol for D2D communication in an IoMV environment beyond 5G

TL;DR: In this article , a blockchain-based onion routing protocol for Internet of Military Vehicles (IoMVs) is proposed to achieve secure, trusted, and anonymous D2D communication.