UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2107507


Registration ID:
312807

Page Number

e21-e34

Share This Article


Jetir RMS

Title

AMOCH-EPSOR – A multi-objective CH selection and Enhanced Particle Swarm Optimization for relay selection with Mobile sinks

Abstract

By relying on the application, a wireless sensor network could be heterogeneous in nature, which means the sensor nodes either static or mobile based on the requirements of an application. The energy-hole problem may cause by the static deployment of source nodes and sink due to the nodes should always be active in the sink’s one-hop neighbour for data transmission from the source nodes. The coverage holes is resulted and network performance is reduced. For efficient data aggregation and QoS maintenance, one of the optimal methods is used as the clustering. More energy is consumed by the Cluster Heads (CH) that located near BS in cluster-based WSNs and their energy exhausts with rapid speeds than the other ones. Thus, the premature death of nodes and frequent rotation of CH have resulted. The Enhanced Particle Swarm Optimization and a multi-objective CH selection have introduced for relay selection with mobile sinks (MOCH-EPSOR) for improving the sensor network lifetime and CH stability for energy-efficient data aggregation. A single mobile sink deployment in larger networks is lead to different problems in large networks such as end-to-end delay in data collection, coverage, and node failure or link failure, etc. In this paper, multiple mobile sinks have introduced. Different multi-objective parameters like link quality, residual energy, communication cost, and node proximity are also considered for improving the stability of CH that enhances the data aggregation. For detecting the optimized route between member nodes and cluster head, an enhanced Particle Swarm Optimization (PSO) algorithm is incorporated with a modified fitness function for energy-efficient data transmission. For aggregation from the respective CHs, the MS’s are moving along the clusters and retain in each cluster for certain time period after data aggregation at CHs. The experimental results proves that the proposed MOCH-EPSOR scheme improves the network lifetime and QoS than the previously proposed energy efficient protocols.

Key Words

WSN, Cluster heads, Energy efficiency, Optimization, Data aggregation, LEACH.

Cite This Article

"AMOCH-EPSOR – A multi-objective CH selection and Enhanced Particle Swarm Optimization for relay selection with Mobile sinks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.e21-e34, July-2021, Available :http://www.jetir.org/papers/JETIR2107507.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AMOCH-EPSOR – A multi-objective CH selection and Enhanced Particle Swarm Optimization for relay selection with Mobile sinks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppe21-e34, July-2021, Available at : http://www.jetir.org/papers/JETIR2107507.pdf

Publication Details

Published Paper ID: JETIR2107507
Registration ID: 312807
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: e21-e34
Country: hyderabad, telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000512

Print This Page

Current Call For Paper

Jetir RMS