CRCWSN: Presenting a Routing Algorithm by using Re-clustering to Reduce Energy Consumption in WSN

  • Arash Ghorbannia Delavar Payam Noor University
  • Amir Abbas Baradaran Payam Noor University

Abstract

In this paper, we have presented an algorithm, based on genetics and re-clustering, to reduce energy consumption in Wireless Sensor Networks. Algorithm CRCWSN could be best used by selected chromosomes in different states. In this algorithm, a new technique of selecting cluster head(CH) has been initially used by genetic algorithm. These CHs have been used individually in each round to transmit data. In this research, considering distance and energy parameters, we have created a target function having more optimum conditions, compared to previous techniques. The created target function has been evaluated by input chromosome, and the combination of chromosomes has been done by a new technique having more efficiency compared to previous similar techniques. Consequently, the timing of generation repeat is based on local distribution in chromosomes, and their using in sending data from source to destination that decrease generations’ repeat, compared to previous methods. Results by simulation show that, at the end of each round, the number of alive nodes in the suggested algorithm increases, compared to previous methods, which increases network’s lifetime.

Author Biographies

Arash Ghorbannia Delavar, Payam Noor University
Department of Computer Engineering and Information Technology
Amir Abbas Baradaran, Payam Noor University
Department of Computer Engineering and Information Technology

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Published
2012-11-13
How to Cite
GHORBANNIA DELAVAR, Arash; ABBAS BARADARAN, Amir. CRCWSN: Presenting a Routing Algorithm by using Re-clustering to Reduce Energy Consumption in WSN. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 8, n. 1, p. 61-69, nov. 2012. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/169>. Date accessed: 29 sep. 2020. doi: https://doi.org/10.15837/ijccc.2013.1.169.

Keywords

Genetic algorithm, wireless sensor network (WSN), routing, reduce energy consumption, re-clustering.