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 Hussein

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 Hussein

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

6 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 - Proceedings of ICOCOE 2015
Editors	Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Othman, Yahaya Abd Rahim, Naim Che Pee
Publisher	Springer Verlag
Pages	621-634
Number of pages	14
ISBN (Print)	9783319245829
DOIs	https://doi.org/10.1007/978-3-319-24584-3_53
Publication status	Published - 1 Jan 2016
Event	2nd International Conference on Communication and Computer Engineering - Phuket, Thailand Duration: 9 Jun 2015 → 11 Jun 2015 Conference number: 2

Publication series

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

Conference

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

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

Cite this

Adnan, M. A., Razzaque, M. A., Abedin, M. A., Salim Reza, S. M., & Hussein, M. R. (2016). A novel cuckoo search based clustering algorithm for wireless sensor networks. In H. A. Sulaiman, M. A. Othman, M. F. I. Othman, Y. A. Rahim, & N. C. Pee (Eds.), Advanced Computer and Communication Engineering Technology - Proceedings of ICOCOE 2015 (pp. 621-634). (Lecture Notes in Electrical Engineering; Vol. 362). Springer Verlag. https://doi.org/10.1007/978-3-319-24584-3_53

Adnan, Md Akhtaruzzaman ; Razzaque, M. A. ; Abedin, Md Anowarul et al. / 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 ; Mohd Azlishah Othman ; Mohd Fairuz Iskandar Othman ; Yahaya Abd Rahim ; Naim Che Pee. Springer Verlag, 2016. pp. 621-634 (Lecture Notes in Electrical Engineering).

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title = "A novel cuckoo search based clustering algorithm for wireless sensor networks",

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.",

author = "Adnan, {Md Akhtaruzzaman} and Razzaque, {M. A.} and Abedin, {Md Anowarul} and {Salim Reza}, {S. M.} and Hussein, {Molla Rashied}",

year = "2016",

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doi = "10.1007/978-3-319-24584-3_53",

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Adnan, MA, Razzaque, MA, Abedin, MA, Salim Reza, SM & Hussein, MR 2016, A novel cuckoo search based clustering algorithm for wireless sensor networks. in HA Sulaiman, MA Othman, MFI Othman, YA Rahim & NC Pee (eds), Advanced Computer and Communication Engineering Technology - Proceedings of ICOCOE 2015. Lecture Notes in Electrical Engineering, vol. 362, Springer Verlag, pp. 621-634, 2nd International Conference on Communication and Computer Engineering, 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 et al.
Advanced Computer and Communication Engineering Technology - Proceedings of ICOCOE 2015. ed. / Hamzah Asyrani Sulaiman; Mohd Azlishah Othman; Mohd Fairuz Iskandar Othman; Yahaya Abd Rahim; Naim Che Pee. Springer Verlag, 2016. p. 621-634 (Lecture Notes in Electrical Engineering; Vol. 362).

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

TY - GEN

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 - Hussein, Molla Rashied

N1 - Conference code: 2

PY - 2016/1/1

Y1 - 2016/1/1

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

M3 - Conference contribution

AN - SCOPUS:84955454369

SN - 9783319245829

T3 - Lecture Notes in Electrical Engineering

SP - 621

EP - 634

BT - Advanced Computer and Communication Engineering Technology - Proceedings of ICOCOE 2015

A2 - Sulaiman, Hamzah Asyrani

A2 - Othman, Mohd Azlishah

A2 - Othman, Mohd Fairuz Iskandar

A2 - Rahim, Yahaya Abd

A2 - Pee, Naim Che

PB - Springer Verlag

T2 - 2nd International Conference on Communication and Computer Engineering

Y2 - 9 June 2015 through 11 June 2015

ER -

Adnan MA, Razzaque MA, Abedin MA, Salim Reza SM, Hussein MR. A novel cuckoo search based clustering algorithm for wireless sensor networks. In Sulaiman HA, Othman MA, Othman MFI, Rahim YA, Pee NC, editors, Advanced Computer and Communication Engineering Technology - Proceedings of ICOCOE 2015. Springer Verlag. 2016. p. 621-634. (Lecture Notes in Electrical Engineering). Epub 2015 Dec 29. doi: 10.1007/978-3-319-24584-3_53

A novel cuckoo search based clustering algorithm for wireless sensor networks

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