Designing a Dynamic Topology (DHT) for Cluster Head Selection in Mobile Adhoc Network

Title

Designing a Dynamic Topology (DHT) for Cluster Head Selection in Mobile Adhoc Network

Creator

Sindhanaiselvan K.; Mannan J.M.; Aruna S.K.

Description

The mobile ad hoc networks (MANETs) are a collection of dynamic nodes facilitating communication from source to destination either using single or multi hop forwarding mechanism. The nodes within the network possess energy constraints for which an effective clustering mechanism is used for facilitating communication between the nodes within and outside the clusters by designing a dynamic hybrid topology (DHT). The paper concentrates on clustering mechanism (EBCH) for reducing the energy consumption during communication from source to destination and number of parameters where analyzed in order to determine the selection of cluster head based on the energy consumption because this is directly related to the lifetime of the network. The implementation was carried out using MATLAB which offered an environment for performing simulation. The obtained results on comparison with conventional ENB and CPN algorithm improved the operations of cluster computation in ad hoc environments effectively in relation to the cluster head selection and reduced energy consumption. 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Source

Mobile Networks and Applications, Vol-25, No. 2, pp. 576-584.

Date

2020-01-01

Publisher

Springer

Subject

Clustering; Communication; Dynamic hybrid topology; Energy consumption; Mobile ad hoc networks

Coverage

Sindhanaiselvan K., Department of Computer Science and Engineering, MVJ College of Engineering, Bengaluru, 560067, Karnataka, India; Mannan J.M., Department of Information Science and Engineering, MVJ College of Engineering, Bengaluru, 560067, Karnataka, India; Aruna S.K., Faculty of Engineering, Department of Computer Science and Engineering, Christ University, Bengaluru, 560074, India

Rights

Restricted Access

Relation

ISSN: 1383469X

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1007/s11036-019-01283-x

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067308584&doi=10.1007%2fs11036-019-01283-x&partnerID=40&md5=1d678ed7acc7d0767ecc63975d906215