Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2
Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
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Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
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Blockchain Framework for Communication between Vehicle through IoT Devices and Sensors
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Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
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A Review on Data Securing Techniques using Internet of Medical Things
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Machine Learning Algorithms Performance Analysis for VLSI IC Design
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Maximizing the Prediction Accuracy in Tweet Sentiment Extraction using Tensor Flow based Deep Neural Networks
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Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4
DDOS ATTACK DETECTION IN TELECOMMUNICATION NETWORK USING MACHINE LEARNING
Volume-1 | Issue-1
Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3
Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2
Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
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
Characterizing WDT subsystem of a Wi-Fi controller in an Automobile based on MIPS32 CPU platform across PVT
Volume-2 | Issue-4
Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4
Design of Data Mining Techniques for Online Blood Bank Management by CNN Model
Volume-3 | Issue-3
Ethereum and IOTA based Battery Management System with Internet of Vehicles
Volume-3 | Issue-3
Volume - 2 | Issue - 3 | september 2020
Published
21 July, 2020
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.
KeywordsInternet of Things G9959 Wireless Sensor Network IPv6 energy efficiency
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