A Review on Identifying Suitable Machine Learning Approach for Internet of Things Applications
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TOWARDS GHZ METALLIC ACCESS NETWORKS
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Analysis of Visible Light Communication using Integrated Avalanche Photodiode
Volume-4 | Issue-2
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
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Process Control Ladder Logic Trouble Shooting Techniques Fundamentals
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TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
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COMPUTATIONAL OFFLOADING FOR PERFORMANCE IMPROVEMENT AND ENERGY SAVING IN MOBILE DEVICES
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Dual Edge-Fed Left Hand and Right Hand Circularly Polarized Rectangular Micro-Strip Patch Antenna for Wireless Communication Applications
Volume-2 | Issue-3
ANALYSIS OF ROUTING PROTOCOLS IN FLYING WIRELESS NETWORKS
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5G Systems with Low Density Parity Check based Chanel Coding for Enhanced Mobile Broadband Scheme
Volume-2 | Issue-1
TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
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Hybrid Micro-Energy Harvesting Model using WSN for Self-Sustainable Wireless Mobile Charging Application
Volume-3 | Issue-3
Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles
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Cyber-attack and Measuring its Risk
Volume-3 | Issue-4
Analysis of Solar Power Generation Performance Improvement Techniques
Volume-4 | Issue-3
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
Volume-1 | Issue-3
Pollination Inspired Clustering Model for Wireless Sensor Network Optimization
Volume-3 | Issue-3
Design of Low Power Cam Memory Cell for the Next Generation Network Processors
Volume-3 | Issue-4
A STUDY OF RESEARCH NOTIONS IN WIRELESS BODY SENSOR NETWORK (WBSN)
Volume-1 | Issue-2
Computation of Constant Gain and NF Circles for 60 GHz Ultra-low noise Amplifiers
Volume-3 | Issue-3
Volume - 3 | Issue - 3 | september 2021
Published
29 November, 2021
Remote and dangerous fields that are expensive, complex, and unreachable to reach human insights are examined with ease using the Wireless Sensor Network (WSN) applications. Due to the use of non-renewable sources of energy, challenges with respect to the network lifetime, fault tolerance and energy consumption are faced by the self-managed networks. An efficient fault tolerance technique has been provided in this paper as an effective management strategy. Using the network and communication nodes, revitalization and fault recognition techniques are used for handling diverse levels of faults in this framework. At the network nodes, the fault tolerance capability is increased by the proposed protocol model and management strategy. This enhances the corresponding data transmission in the network. When compared to the conventional techniques, the proposed model increases the network lifetime by five times. It is observed from the validation results that, with a 10% increase in the network lifetime, there is a 2% decrease in the fault tolerance proficiency of the network. The network lifetime and data transmission rate are improved while the network energy consumption is reduced significantly. The MATLAB environment is used for simulation purpose. In terms of energy consumption, network lifetime and fault tolerance, the proposed model offers optimal results.
KeywordsNetwork lifetime Fault management Revitalization Fault tolerance Wireless sensor networks
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