Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network
PaperId: :  2700
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2700
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
ReenaDepartment of computer science and applicaion

Abstract

computer science and engineering
WSN, node deployment, multi-objective genetic algorithm, Differential Evolution, fitness function.
Node placement in the objective area is one of the most critical issues in wireless sensor networks and their deployment should be cost effective. The deployment cost depends upon the number of sensing devices deployed. Multi objective originations are real models for many complex engineering optimization problems. Multi-objective optimization problems may require a set of Pareto-Optimal points in the search space, instead of a single point. However, the WSN is a based on cluster, the cluster heads (CHs) absorb more energy due to extra work load of accepting the data aggregation, sense data and transmission of combined data to the base station. We proposed two layers stages approaches for lifetime improvement in wireless sensor network. We compare the performance of MOGA with DE with fitness function that has the objective minimizing the intra-cluster distance and optimize the energy consumption of network. We include a local development phase to the traditional DE for faster concurrence and better performance of our proposed algorithm. The experimental results determined the productivity of the proposed algorithm in terms of network life, energy consumption and connectivity.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Reena. "Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 4340-4349
MLA Reena. "Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 4340-4349.
APA Reena. (2016). Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 4340-4349.
Chicago Reena. "Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 4340-4349.
Oxford Reena. 'Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 4340-4349. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Two_Layers_Stages_Approaches_for_Lifetime_Improvement_in_Wireless_Sensor_Network_ijariie2700.pdf (Accessed : ).
Harvard Reena. (2016) 'Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 4340-4349IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Two_Layers_Stages_Approaches_for_Lifetime_Improvement_in_Wireless_Sensor_Network_ijariie2700.pdf (Accessed : )
IEEE Reena, "Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 4340-4349, May-Jun 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Two_Layers_Stages_Approaches_for_Lifetime_Improvement_in_Wireless_Sensor_Network_ijariie2700.pdf [Accessed : ].
Turabian Reena. "Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver Reena. Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 4340-4349. Available from: http://ijariie.com/AdminUploadPdf/Two_Layers_Stages_Approaches_for_Lifetime_Improvement_in_Wireless_Sensor_Network_ijariie2700.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review of Automated Plant Disease Detection Using Camera-Based Systems for Scalable Farm AutomationComputer EngineeringMohammed Taha Ahmed Download
ENHANCE ETHANOL PURITY WITH TEA POWDER ADSORBTIVE DISTILLATION.Chemical EngineeringKatore Tejas Download
IOT Enabled Smart Helmet For Miners SafetyComputer EngineeringDhruv Verma Download
Deep Learning Based Web Application for Hand Sign RecognitionComputer Engineering Mrs.Sonali Salunkhe Download
WIREFRAME INTERPRETATION AND FRONTEND CODE GENERATIONComputer EngineeringK. Archana Download
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
AI-Enhanced Biosensors for Real-Time Detection of Pathogens Using Nanomaterialsmachine learningFaisal Ahmed Download
Integrating Deep Learning with Nanotechnology for Virus Detectionmachine learningAkash Kumar Download
12