# Life Time Sensitive Weighted Clustering on Wireless Sensor Networks

### Elnaz Alizadeh Jarchlo, Cüneyt F. Bazlamaçcı

#### Abstract

The present paper considers weighted clustering algorithms for mobile ad hoc networks (MANET) and wireless sensor networks (WSN). First, we summarize the similarities and differences between the two types of networks as then examine the existing weighted clustering algorithms proposed so far. We specifically examine the objective functions and performances of the algorithm in terms of various parameters. In addition, we proposed a new algorithm called as the Life Time Sensitive Weighted Clustering Algorithm (LTS-WCA), which aims to adapt the already existing weighted clustering algorithm (WCA) proposed for MANET to WSN and modify and enhance it. WCA was proposed in the literature for forming cluster-heads in mobile ad hoc networks but we have demonstrated that it can also be effective when used in a wireless sensor network domain.

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#### Paper Citation

#### in Harvard Style

Alizadeh Jarchlo E. and Bazlamaçcı C. (2014). **Life Time Sensitive Weighted Clustering on Wireless Sensor Networks** . In *Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,* ISBN 978-989-758-001-7, pages 41-51. DOI: 10.5220/0004730700410051

#### in Bibtex Style

@conference{sensornets14,

author={Elnaz Alizadeh Jarchlo and Cüneyt F. Bazlamaçcı},

title={Life Time Sensitive Weighted Clustering on Wireless Sensor Networks},

booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,},

year={2014},

pages={41-51},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0004730700410051},

isbn={978-989-758-001-7},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,

TI - Life Time Sensitive Weighted Clustering on Wireless Sensor Networks

SN - 978-989-758-001-7

AU - Alizadeh Jarchlo E.

AU - Bazlamaçcı C.

PY - 2014

SP - 41

EP - 51

DO - 10.5220/0004730700410051