Hybrid Hippopotamus Optimization Algorithm–Based Energy‐Efficient Stable Cluster Construction Protocol for Data Routing in VANETs

ABSTRACT The sparse distribution as well as high‐speed characteristics of vehicular nodes on roads is determined to impact the dynamism of vehicular ad hoc network (VANET). This dynamism of VANETs introduces major challenges during the process of packet routing that introduces network fragmentation...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of communication systems Jg. 38; H. 13
Hauptverfasser: Krishna Meera, V., Balasubramanian, C., Praveen, R.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Chichester Wiley Subscription Services, Inc 10.09.2025
Schlagworte:
Algorithms
cluster formation
Clustering
Combinatorial analysis
Energy consumption
Heuristic methods
Hippopotamus Optimization Algorithm (HPOA)
Load balancing
Mobile ad hoc networks
network lifetime
Nodes
Optimization
Optimization algorithms
Routing (telecommunications)
stable clusters
vehicular ad hoc networks (VANETs)
ISSN:1074-5351, 1099-1131
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:ABSTRACT The sparse distribution as well as high‐speed characteristics of vehicular nodes on roads is determined to impact the dynamism of vehicular ad hoc network (VANET). This dynamism of VANETs introduces major challenges during the process of packet routing that introduces network fragmentation such that scalable, reliable, and robust communication can be established in an extremely dense network. Clustering of vehicular nodes is considered the potential solution that helps in handling the issues of scalability. However, the existing clustering approaches observed in the literature introduce imbalanced load balancing and maximized number of clusters in a vehicular environment. The employment of nature‐inspired meta‐heuristic algorithms is determined to be ideal for determining optimal clusters in this problem of multi‐objective combinatorial optimization. In this paper, hybrid Hippopotamus Optimization Algorithm (HPOA)–based energy‐efficient stable cluster construction protocol (HHPOASCCP) is proposed for constructing an optimized number of vehicular node clusters. The inherent parameters of HPOA helped in maintaining a proper balance between the phases of exploitation and exploration such that a globally optimal solution that represents optimal vehicular clusters is determined without the issue of local optima. This proposed clustering approach determined optimized numbers of clusters and potentially high fitness valued vehicular nodes as cluster heads (CHs) such that energy efficiency is maximized in the network. Simulation results of this propounded HHPOASCCP confirmed selected 24.38% of the nodes as the CHs, minimized number of clusters by 24.58%, maximized load balancing by 23.12%, and reduced energy consumption by 19.84% in contrast to baseline schemes. Hybrid Hippopotamus Optimization Algorithm (HPOA)–based energy‐efficient stable cluster construction protocol (HHPOASCCP) is proposed for constructing an optimized number of vehicular node clusters. Inherent parameters of HPOA helped in maintaining a proper balance between exploitation and exploration, resulting in a globally optimal solution that depicts optimal vehicular clusters without the issue of local optima. Simulation results of this propounded HHPOASCCP confirmed selected 24.38% of the nodes as the CHs, minimized number of clusters by 24.58%, maximized load balancing by 23.12%, and reduced energy consumption by 19.84% in contrast to baseline schemes.
Bibliographie:The authors received no specific funding for this work.
Funding
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1074-5351
1099-1131
DOI:10.1002/dac.70171