Energy efficient routing with cluster approach in wireless networks – A literature review
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl.35Keywords:
Wireless networks, Clustering approach, Efficient routing, Malicious attacks, energy efficientDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This literature review examines the cluster-based approaches in wireless networks, focusing on their effectiveness in conserving energy, enhancing routing efficiency, and improving network credibility. Wireless networks are increasingly employed in various applications, from internet of things (IoT) systems to mobile ad hoc networks, where energy efficiency is critical due to the limited battery life of devices. Cluster-based techniques group nodes into clusters to optimize resource utilization, facilitating energy conservation by enabling localized communication and reducing redundant transmissions. The review explores various clustering algorithms, such as low-energy adaptive clustering hierarchy (LEACH) and hybrid energy-efficient distributed clustering (HEED), highlighting their impact on network longevity and scalability. Additionally, the study addresses the challenges of maintaining robust routing protocols within clustered networks, emphasizing the importance of reliable data transmission and node credibility to mitigate risks from malicious attacks. By synthesizing current research findings, this review provides insights into the future directions of cluster-based strategies in wireless networks, suggesting potential enhancements to ensure efficient energy management and reliable network performance.Abstract
How to Cite
Downloads
Similar Articles
- Kowsalya Ramasamy, Thiyagarajan Krishnan, Performance analysis of RF substrate materials in ISM band antenna applications , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Vishnu Prasad C, Ramaprabha D, Do tax compliance costs mediate the relationship between the complexity of tax structure and fairness perceptions? Evidence from manufacturers , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Madhu Bala Sharma, Pooja Yadav, A survey of attitude and behavior of Indian equity investors towards cryptocurrencies: Using smart-PLS and systematic equation modeling (SEM) approach , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Murugaraju P, A. Edward William Benjamin, Efficacy of multimedia courseware in achievement in Mathematics , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Sharayu Mirasdar, Mangesh Bedekar, Knowledge graphs for NLP: A comprehensive analysis , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Nalini. S, Ritha. W, Sasitharan Nagapan, Optimal Inventory Policies for Perishable Products Under Demand and Lead Time Uncertainty , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Pratik Ghosh, Sriram M, A systematic review of social media communication with respect to fashion brands , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Abhishek Pandey, V Ramesh, Puneet Mittal, Suruthi, Muniyandy Elangovan, G.Deepa, Exploring advancements in deep learning for natural language processing tasks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Nitika, Kuldeep Chaudhary, A critical review of social media advertising literature: Visualization and bibliometric approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. Vanaja, Hari Ganesh S, Application of data mining and machine learning approaches in the prediction of heart disease – A literature survey , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
<< < 19 20 21 22 23 24 25 26 27 28 > >>
You may also start an advanced similarity search for this article.

