Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
Design of Deep Learning Algorithm for IoT Application by Image based Recognition
Volume-3 | Issue-3
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Health Record Management System – A Web-based Application
Volume-3 | Issue-4
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Secure Data Sharing Platform for Portable Social Networks with Power Saving Operation
Volume-3 | Issue-3
Review of Internet of Wearable Things and Healthcare based Computational Devices
Volume-3 | Issue-3
Stock Index Prediction with Financial News Sentiments and Technical Indicators
Volume-4 | Issue-3
Hybrid Framework on Automatic Detection and Recognition of Traffic Display board Signs
Volume-3 | Issue-3
Suspicious Human Activity Detection System
Volume-2 | Issue-4
ROBOT ASSISTED SENSING, CONTROL AND MANUFACTURE IN AUTOMOBILE INDUSTRY
Volume-1 | Issue-3
EFFICIENT RESOURCE ALLOCATION AND QOS ENHANCEMENTS OF IOT WITH FOG NETWORK
Volume-1 | Issue-2
Live Streaming Architectures for Video Data - A Review
Volume-2 | Issue-4
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT BASED AIR AND SOUND POLLUTION MONITIORING SYSTEM USING MACHINE LEARNING ALGORITHMS
Volume-2 | Issue-1
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Hybrid Intrusion Detection System for Internet of Things (IoT)
Volume-2 | Issue-4
Volume - 2 | Issue - 2 | june 2020
Published
05 May, 2020
The sensor networks with the capability of conveying information's through the wireless medium in many circumstances are affected by the inner energy and the exterior atmospheric changes as the sensors are employed in the areas that are beyond human reach and left uncared. Since routing procedure seems as the main source of energy utilization in these types of networks formulated by the sensors and as the prevailing routing procedures considers the parametric optimization from the network perception alone eluding the atmospheric influences over the network from the exterior sources, makes the sensors obtuse to the sudden unexpected changes in the atmosphere. So this leads to failure in conveyance of information's due to the failure in the routing and the fading of the path established. To manage such circumstance effectively the paper formulates a multi path conveyance with improved survivability for wireless-sensor-networks. The method takes into consideration the residual energy, depth and the dynamic changes in the atmosphere. The developed routing evades the information from passing over the hazardous area and forms a reliable conveyance by creating an atmosphere based on the monitoring competencies of the sensor network. The formulate method is experimentally evaluated using the network simulator-2 to acquire the vital enhancements in the life expectancy of the network framed and the delivery rate of the packets.
KeywordsWireless sensor networks Challenging Environment Routing Survivability Life expectancy Packet Delivery Ratio
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