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 - 1 | Issue - 1 | june 2019
Published
June, 2019
The dense deployment of the wireless sensor networks has caused enormous data flow leading to a Big-Data generation. To enable a continuous transmission for the huge volume of data packets, it becomes necessary to readapt the routing protocol to facilitate the routing in handling the Big-data scenario. Since energy is the main constraint in the wireless sensor network, as the sensor are battery powered, and the routing methods consuming enormous of the energy for route discovery thereby reducing the network life time, many conventional methods were developed to address the problem of energy consumption with the, increased network latency, overhead, security issues and delay. So the paper proposes the energy-aware routing protocol that could handle the security issues, arising in the enormous data generation satisfying the QOS requirements. The node with substantial resources are selected to overcome the problems of energy consumption and the network life time handling the security issues , delay, network latency and the overhead problem. Further validation of the proposed method in the Network Simulator-3 is performed to evaluate the network latency, packet delivery ratio, throughput, power consumption, network lifetime and Cost.
KeywordsWireless sensor networks Big-Data Energy efficiency Security Quality of service
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