A novel cuckoo search based clustering algorithm for wireless sensor networks

Md Akhtaruzzaman Adnan; M. A. Razzaque; Md. Anowarul Abedin; S. M. Salim Reza; Molla Rashied Husein

doi:10.1007/978-3-319-24584-3_53

A novel cuckoo search based clustering algorithm for wireless sensor networks

Md Akhtaruzzaman Adnan, M. A. Razzaque, Md. Anowarul Abedin, S. M. Salim Reza, Molla Rashied Husein

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

17 Citations (Scopus)

Abstract

Wireless sensor networks are primarily characterized by inadequate energy supply. Therefore, development of an energy efficient protocol can play an important role in impacting the network lifetime. Typically, communication is the most energy expensive act that nodes perform and limited energy of nodes is the main obstacle. An efficient cluster arrangement might be a solution. Though optimum clustering in wireless sensor networks is an NP-Hard problem, at present, bio-inspired metaheuristic approaches are very popular in solving them. This paper presents a centralized energy-aware clustering algorithm for wireless sensor networks using the novel bio mimic cuckoo search algorithm. The cost function was defined, with the goal of maximizing the network lifetime and minimizing the intra-cluster distance. The performance of the proposed algorithm is evaluated with well-known centralized and decentralized clustering protocols. The results derived from simulations show that proposed solution can enhance network lifetime over its comparatives.

Original language	English
Title of host publication	Advanced Computer and Communication Engineering Technology
Subtitle of host publication	Proceedings of ICOCOE 2015
Editors	Hamzah Asyrani Sulaiman, Yahaya Abd Rahim, Mohd Azlishah Othman, Naim Che Pee, Mohd Fairuz Iskandar Othman
Publisher	Springer, Springer Nature
Pages	621-634
Number of pages	14
ISBN (Electronic)	9783319245843
ISBN (Print)	9783319245829
DOIs	https://doi.org/10.1007/978-3-319-24584-3_53
Publication status	Published - 29 Dec 2015
Externally published	Yes
Event	2nd International Conference on Communication and Computer Engineering, ICOCOE 2015 - Phuket, Thailand Duration: 9 Jun 2015 → 11 Jun 2015

Publication series

Name	Lecture Notes in Electrical Engineering
Publisher	Springer
Volume	362
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2nd International Conference on Communication and Computer Engineering, ICOCOE 2015
Country	Thailand
City	Phuket
Period	9/06/15 → 11/06/15

Keywords

Cuckoo search
Energy efficiency
Clustering
Wireless sensor networks

Access to Document

10.1007/978-3-319-24584-3_53

Link to publication in Scopus

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Cite this

Adnan, M. A., Razzaque, M. A., Abedin, M. A., Salim Reza, S. M., & Husein, M. R. (2015). A novel cuckoo search based clustering algorithm for wireless sensor networks. In H. A. Sulaiman, Y. A. Rahim, M. A. Othman, N. C. Pee, & M. F. I. Othman (Eds.), Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015 (pp. 621-634). (Lecture Notes in Electrical Engineering; Vol. 362). Springer, Springer Nature. https://doi.org/10.1007/978-3-319-24584-3_53

Adnan, Md Akhtaruzzaman ; Razzaque, M. A. ; Abedin, Md. Anowarul ; Salim Reza, S. M. ; Husein, Molla Rashied. / A novel cuckoo search based clustering algorithm for wireless sensor networks. Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015. editor / Hamzah Asyrani Sulaiman ; Yahaya Abd Rahim ; Mohd Azlishah Othman ; Naim Che Pee ; Mohd Fairuz Iskandar Othman. Springer, Springer Nature, 2015. pp. 621-634 (Lecture Notes in Electrical Engineering).

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abstract = "Wireless sensor networks are primarily characterized by inadequate energy supply. Therefore, development of an energy efficient protocol can play an important role in impacting the network lifetime. Typically, communication is the most energy expensive act that nodes perform and limited energy of nodes is the main obstacle. An efficient cluster arrangement might be a solution. Though optimum clustering in wireless sensor networks is an NP-Hard problem, at present, bio-inspired metaheuristic approaches are very popular in solving them. This paper presents a centralized energy-aware clustering algorithm for wireless sensor networks using the novel bio mimic cuckoo search algorithm. The cost function was defined, with the goal of maximizing the network lifetime and minimizing the intra-cluster distance. The performance of the proposed algorithm is evaluated with well-known centralized and decentralized clustering protocols. The results derived from simulations show that proposed solution can enhance network lifetime over its comparatives.",

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Adnan, MA, Razzaque, MA, Abedin, MA, Salim Reza, SM & Husein, MR 2015, A novel cuckoo search based clustering algorithm for wireless sensor networks. in HA Sulaiman, YA Rahim, MA Othman, NC Pee & MFI Othman (eds), Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015. Lecture Notes in Electrical Engineering, vol. 362, Springer, Springer Nature, pp. 621-634, 2nd International Conference on Communication and Computer Engineering, ICOCOE 2015, Phuket, Thailand, 9/06/15. https://doi.org/10.1007/978-3-319-24584-3_53

A novel cuckoo search based clustering algorithm for wireless sensor networks. / Adnan, Md Akhtaruzzaman; Razzaque, M. A.; Abedin, Md. Anowarul; Salim Reza, S. M.; Husein, Molla Rashied.

Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015. ed. / Hamzah Asyrani Sulaiman; Yahaya Abd Rahim; Mohd Azlishah Othman; Naim Che Pee; Mohd Fairuz Iskandar Othman. Springer, Springer Nature, 2015. p. 621-634 (Lecture Notes in Electrical Engineering; Vol. 362).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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T1 - A novel cuckoo search based clustering algorithm for wireless sensor networks

AU - Adnan, Md Akhtaruzzaman

AU - Razzaque, M. A.

AU - Abedin, Md. Anowarul

AU - Salim Reza, S. M.

AU - Husein, Molla Rashied

PY - 2015/12/29

Y1 - 2015/12/29

N2 - Wireless sensor networks are primarily characterized by inadequate energy supply. Therefore, development of an energy efficient protocol can play an important role in impacting the network lifetime. Typically, communication is the most energy expensive act that nodes perform and limited energy of nodes is the main obstacle. An efficient cluster arrangement might be a solution. Though optimum clustering in wireless sensor networks is an NP-Hard problem, at present, bio-inspired metaheuristic approaches are very popular in solving them. This paper presents a centralized energy-aware clustering algorithm for wireless sensor networks using the novel bio mimic cuckoo search algorithm. The cost function was defined, with the goal of maximizing the network lifetime and minimizing the intra-cluster distance. The performance of the proposed algorithm is evaluated with well-known centralized and decentralized clustering protocols. The results derived from simulations show that proposed solution can enhance network lifetime over its comparatives.

AB - Wireless sensor networks are primarily characterized by inadequate energy supply. Therefore, development of an energy efficient protocol can play an important role in impacting the network lifetime. Typically, communication is the most energy expensive act that nodes perform and limited energy of nodes is the main obstacle. An efficient cluster arrangement might be a solution. Though optimum clustering in wireless sensor networks is an NP-Hard problem, at present, bio-inspired metaheuristic approaches are very popular in solving them. This paper presents a centralized energy-aware clustering algorithm for wireless sensor networks using the novel bio mimic cuckoo search algorithm. The cost function was defined, with the goal of maximizing the network lifetime and minimizing the intra-cluster distance. The performance of the proposed algorithm is evaluated with well-known centralized and decentralized clustering protocols. The results derived from simulations show that proposed solution can enhance network lifetime over its comparatives.

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KW - Clustering

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SN - 9783319245829

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SP - 621

EP - 634

BT - Advanced Computer and Communication Engineering Technology

A2 - Sulaiman, Hamzah Asyrani

A2 - Rahim, Yahaya Abd

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A2 - Pee, Naim Che

A2 - Othman, Mohd Fairuz Iskandar

PB - Springer, Springer Nature

ER -

Adnan MA, Razzaque MA, Abedin MA, Salim Reza SM, Husein MR. A novel cuckoo search based clustering algorithm for wireless sensor networks. In Sulaiman HA, Rahim YA, Othman MA, Pee NC, Othman MFI, editors, Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015. Springer, Springer Nature. 2015. p. 621-634. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-3-319-24584-3_53