Improved hybrid cuckoo black widow optimization with interval type 2 fuzzy logic system for energy‐efficient clustering protocol

Summary Recently, due to its excellent performance with the limited resources the wireless sensor network (WSN) is a challenging research area. The WSN consists of the number of nodes and power resources with limited energy parameters, but it comprises few difficulties. The energy‐efficient distribu...

Full description

Saved in:

Bibliographic Details
Published in:	International journal of communication systems Vol. 34; no. 7
Main Authors:	Sheriba, S.T., Hevin Rajesh, D.
Format:	Journal Article
Language:	English
Published:	Chichester Wiley Subscription Services, Inc 10-05-2021
Subjects:	Clustering cuckoo search algorithm Fuzzy logic HEED protocol improved hybrid cuckoo black widow algorithm Optimization Performance evaluation Residual energy Routing (telecommunications) Search algorithms wireless sensor network Wireless sensor networks
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Summary Recently, due to its excellent performance with the limited resources the wireless sensor network (WSN) is a challenging research area. The WSN consists of the number of nodes and power resources with limited energy parameters, but it comprises few difficulties. The energy‐efficient distributed clustering (HEED) is an efficient routing protocol in recent years. This paper proposes IHCBW with interval type 2 fuzzy logic system‐based HEED (IIT2FLS‐HEED) method. We used the combination of cuckoo search (CS) and improved black widow optimization (IBWO) algorithms (IHCBW) for the selection of optimal residual energy selection. The optimal cluster heads (CHs) are chosen with the help of the interval type 2 fuzzy logic system (IT2FLS). Experimentally, the NS2 software handles the entire proposed work and its performance is evaluated with different kinds of performance evaluation. Moreover, 20 benchmark functions are used to validate the performance of the IHCBW algorithm. Finally, the proposed IIT2FLS‐HEED demonstrates better performance results in terms of homogenous, second, and third stage heterogeneous WSN. This paper proposes IHCBW with interval type 2 fuzzy logic system‐based HEED (IIT2FLS‐HEED) method. We used the combination of cuckoo search (CS) and improved black widow optimization (IBWO) algorithms (IHCBW) for the selection of optimal residual energy selection. The optimal cluster heads (CHs) are chosen with the help of the interval type 2 fuzzy logic system (IT2FLS).
ISSN:	1074-5351 1099-1131
DOI:	10.1002/dac.4730