Paper Title

Cross-Layer Optimization Strategies for Enhanced Resource Management in Wireless Sensor Networks

Authors

Dr. Phiros Mansur Nalakath , Dr. Saley Seetharaman , Mrs. Abitha Kandoth Parambath

Keywords

WSN, Cross-Layer Optimization, Resource Management

Abstract

Wireless Sensor Networks (WSNs) are critical for various applications, from environmental monitoring to smart cities. However, effective resource management remains a significant challenge due to limited energy, bandwidth, and processing capabilities. This paper presents cross-layer optimization strategies aimed at enhancing resource management in WSNs. Our approach addresses inefficiencies inherent in traditional layer-specific methods by integrating operations across the networking stack—encompassing application, transport, network, link, and physical layers. We propose a framework that facilitates dynamic resource allocation and leads to improved energy efficiency, reduced latency, and extended network lifetime. The findings highlight the potential of cross-layer optimization as a transformative approach to resource management in WSNs, paving the way for more resilient and efficient network architectures. This study contributes to the theoretical understanding of cross-layer interactions and offers practical insights for future implementations in real-world applications.

How To Cite

"Cross-Layer Optimization Strategies for Enhanced Resource Management in Wireless Sensor Networks", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 12, page no.a174-a178, December-2024, Available :https://ijsdr.org/papers/IJSDR2412022.pdf

Issue

Volume 9 Issue 12, December-2024

Pages : a174-a178

Other Publication Details

Paper Reg. ID: IJSDR_300020

Published Paper Id: IJSDR2412022

Downloads: 000347128

Research Area: Science and Technology

Country: Thrissur, Kerala, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2412022

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2412022

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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