Enhancing Road Safety: A Driver Fatigue Detection and Behaviour Monitoring System using Advanced Computer Vision Techniques
Volume-6 | Issue-2

Indian Machinery and Transport Equipment Exports - Forecasting with External Factors Using Chain of Hybrid Sarimax-Garch Model
Volume-5 | Issue-2

Prediction on Crop Yield on Indian based Agriculture using Machine Learning
Volume-7 | Issue-2

Predictive Analytics with Data Visualization
Volume-4 | Issue-2

Green Lights Ahead: An IoT Solution for Prioritizing Emergency Vehicles
Volume-5 | Issue-3

Automated Learning and Scheduling Assistant using LLM
Volume-6 | Issue-3

Smart Farming: Enhancing Network Infrastructure for Agricultural Sustainability
Volume-6 | Issue-1

Smart Metering System for Water Distribution in Rural Areas
Volume-7 | Issue-1

Fake News Detection using DistilBERT Embeddings with PCA and Genetic Algorithm based Feature Selection
Volume-7 | Issue-3

Vision Transformer based Hybrid Approach for White Blood Cells (WBC) Classification
Volume-7 | Issue-2

Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3

Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2

Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2

Construction of a Framework for Selecting an Effective Learning Procedure in the School-Level Sector of Online Teaching Informatics
Volume-3 | Issue-4

Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2

Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2

Ethereum and IOTA based Battery Management System with Internet of Vehicles
Volume-3 | Issue-3

Characterizing WDT subsystem of a Wi-Fi controller in an Automobile based on MIPS32 CPU platform across PVT
Volume-2 | Issue-4

A Review on Data Securing Techniques using Internet of Medical Things
Volume-3 | Issue-3

Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4

Home / Archives / Volume-2 / Issue-3 / Article-1

An Efficient Packet Delivery Scheme Using Trust Routing in G.9959 Protocol in a Wireless Sensor Network

Open Access
Volume - 2 • Issue - 3 • september 2020
https://doi.org/10.36548/jucct.2020.3.001
118-125  303 PDF
Abstract

Wireless Sensor Network (WSN) has drawn high attention in the recent years both in the industrial and the research frontier. It integrates multiple application-based services in areas like disaster management, military usage, smart city, habitat monitoring, healthcare etc. It uses the term Internet of Things (IoT) when providing different services and applications. Similarly, when this network associates with industrial revolution, it is commonly addressed as the Industrial Internet of Things (IIoT). Using IPv6, it gives high scalability using the strength of Internet users. Hence it is crucial to ensure efficiency of the protocols and working modules. This will determine the battery lifetime when it is deployed, connected to the battery's draining short-term. Based on this consideration, many protocols are tested using IIoT in WSN. For this paper we have chosen G.9959 as the protocol and a comparison is drawn with the IPv6 packet delivery rate. Experimental results indicate that the proposed work performs more efficiently when compared to other previous schemes.

Keywords
Internet of Things G9959 Wireless Sensor Network IPv6 energy efficiency
Published
21 July, 2020
×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
15 USD
Open Access Fee Nil
Annual Subscription Fee
200 USD
After payment,
please send an email to irojournals.contact@gmail.com / journals@iroglobal.com requesting article access.
Subscription form: click here