Cluster head selection technique for optimization of energy conservation in MANET

Govil, Kapil; Gupta, S.; Agarwal, Ambuj Kumar

doi:10.1109/pdgc.2014.7030712

Cited by 12 publications

(2 citation statements)

References 18 publications

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“…In addition, this protocol worked on such parameters like loading of network, energy conservation and lifetime of nodes and networks. Subsequently, battery power and connectivity level based cluster head technique was introduced for selecting cluster head in MANET [9]. Afterwards, one hop clustering algorithm was proposed by Basurra [10] in that introduced zone based routing with parallel and distributed broadcasting technique to minimize redundant broadcasting and improve path discovery process.…”

Section: Related Workmentioning

confidence: 99%

RETRACTED: K-Means Based Cluster Formation and Head Selection Through Artificial Neural Network in MANET

Bisen¹,

Mishra²,

Saurabh

2021

Preprint

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Mobile ad-hoc network is a dynamic and self configuring network composed of mobile nodes that are cooperative and intelligent in nature, which forms a temporary network without any base station. Due to dynamic nature, route among source and destination is not fixed and it can change with time, this results in routing overhead, congestion and higher energy consumption in nodes. In this condition, clustering becomes very relevant in highly dense network in which the clusterhead initiates the routing instead of normal nodes. This paper proposes an efficient way for cluster formation and selection of stable cluster heads (E-CFSA) with high energy level. E-CFSA forms node cluster using k-means algorithm where distance with centroids acts as the key parameter. Afterwards, artificial neural network (ANN) is applied in each cluster to select efficient clusterhead. It also updates weight of input parameters such as mobility, packet drop, energy and number of neighbor nodes in order to minimize the errors at target neuron using back propagation algorithm. The overall process identifies and selects the nodes as clusterheads that possess longer stability and higher energy level. This procedure reduces the repetitive selection of cluster heads and re-affiliation of member nodes in a cluster. Thereafter, performance is evaluated in terms of overhead, packet delivery ratio, throughput and cluster head stability time with variation in speed of node or number of nodes in MANET. The experimental results obtained through proposed E-CFSA are compared to other existing mechanisms and a comparison is drawn. These comparative results very clearly revealed that proposed E-CFSA outperformed its peers.

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Section: Related Workmentioning

confidence: 99%

RETRACTED: K-Means Based Cluster Formation and Head Selection Through Artificial Neural Network in MANET

Bisen¹,

Mishra²,

Saurabh

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Keeping keys safe from the access of intruders is itself very important . For ensuring performance in MANETs, clusters are made, and in each cluster, a head is chosen . These clusters heads (CHs) are considered as beneficial in many aspects, especially for keeping the aggregate data about all the nodes inside the cluster .…”

Section: Introductionmentioning

confidence: 99%

SeCRoP: secure cluster head centered multi-hop routing protocol for mobile ad hoc networks

Umar

Mehmood

Song

2016

Security Comm. Networks

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Because of the absence of central control and limited capabilities of tiny nodes in mobile ad hoc networks (MANETs), these types of networks are always vulnerable to different kind of threats. Threats can be active and passive. Many cryptographic techniques are suggested for securing MANETs from various threats. This paper introduces a new method using cluster heads with cryptographic keys, for each node, in cluster‐based MANETs. Cluster heads are selected according to some definite criteria among the nodes in the clusters. Cluster heads keep the private keys for decryption while each member node is assigned a unique public key for encryption purpose. The approach is very flexible as it supports the nodes' migration to other clusters and transfer of control for one cluster head to another. Different scenarios are explained in the paper to tackle the security mechanism and nodes migration to other clusters. Copyright © 2016 John Wiley & Sons, Ltd.

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A Multi-metric-Based Algorithm for Cluster Head Selection in Multi-hop Ad Hoc Network

Prakash

Kumar

et al. 2017

Advances in Intelligent Systems and Computing

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Cluster head selection technique for optimization of energy conservation in MANET

Cited by 12 publications

References 18 publications

RETRACTED: K-Means Based Cluster Formation and Head Selection Through Artificial Neural Network in MANET

RETRACTED: K-Means Based Cluster Formation and Head Selection Through Artificial Neural Network in MANET

SeCRoP: secure cluster head centered multi-hop routing protocol for mobile ad hoc networks

A Multi-metric-Based Algorithm for Cluster Head Selection in Multi-hop Ad Hoc Network

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