Load balanced fuzzy-based unequal clustering for wireless sensor networks assisted Internet of Things

21Citations
Citations of this article
23Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The fundamental unit of the Internet of Things (IoT) is wireless sensor networks (WSNs). Due to their low cost and prospective use, WSNs have drawn interest in various applications over the last years. Since sensor nodes are equipped with limited battery, it is vital energy consumption be carefully monitored. Therefore, minimizing the node energy consumption is clearly essential to extend the network lifetime. In this paper, a fuzzy-based unequal clustering protocol is proposed. Not only does the proposed protocol prolong the network lifetime, but it also balances the load among nodes. Former protocols do not consider load balancing. Fuzzy logic is employed considering four inputs: residual energy, distance to a base station, node degree and centrality. To validate its efficiency, the novel protocol is compared with other relevant protocols. The obtained results prove that the protocol here proposed outperforms other state-of-the-art protocols.

References Powered by Scopus

Fuzzy sets

71563Citations
N/AReaders
Get full text

Outline of a New Approach to the Analysis of Complex Systems and Decision Processes

6637Citations
N/AReaders
Get full text

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

6574Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Optimizing energy consumption in WSN-based IoT using unequal clustering and sleep scheduling methods

77Citations
N/AReaders
Get full text

Controlling energy aware clustering and multihop routing protocol for IoT assisted wireless sensor networks

46Citations
N/AReaders
Get full text

A comprehensive review of clustering approaches for energy efficiency in wireless sensor networks

22Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Agrawal, D., & Pandey, S. (2020). Load balanced fuzzy-based unequal clustering for wireless sensor networks assisted Internet of Things. Engineering Reports, 2(3). https://doi.org/10.1002/eng2.12130

Readers over time

‘20‘21‘22‘23‘24‘2502468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 9

60%

Researcher 4

27%

Professor / Associate Prof. 1

7%

Lecturer / Post doc 1

7%

Readers' Discipline

Tooltip

Engineering 8

50%

Computer Science 7

44%

Chemical Engineering 1

6%

Save time finding and organizing research with Mendeley

Sign up for free
0