Combing fuzzy clustering and pso algorithms to optimize energy consumption in WSN networks

Amir Javadpour; Niusha Adelpour; Guojun Wang; Tao Peng

doi:10.1109/SmartWorld.2018.00238

Combing fuzzy clustering and pso algorithms to optimize energy consumption in WSN networks

Amir Javadpour
, Niusha Adelpour
, Guojun Wang^*
, Tao Peng

^*Corresponding author for this work

Guangzhou University
Islamic Azad University

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

30 Scopus citations

Abstract

In wireless sensor networks, nodes are distributed in the environment and there is no access to replace batteries. Therefore, providing an algorithm to reduce energy consumption is a great major challenge. Heuristic algorithms can find best solutions (close to optimal solution) in a short time for nondeterministic polynomial problems. Thus, these algorithms are applied in optimal problems in math and artificial intelligence because math optimization methods are slow to find optimal solution or cannot find solution. In this paper, Fuzzy clustering is used to join sensors in the network and the particle swarm optimization algorithm (PSO) is used to estimate the initial value of cluster heads. Then, we evaluate our proposed method by NS2 simulator. The proposed algorithm is compared with Enhanced optimized energy efficient routing protocol E-OEEPR which is investigated by energy consumption, Packet Delivery Ratio (PDR) and network throughput.

Original language	English
Title of host publication	Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
Editors	Frederic Loulergue, Guojun Wang, Md Zakirul Alam Bhuiyan, Xiaoxing Ma, Peng Li, Manuel Roveri, Qi Han, Lei Chen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1371-1377
Number of pages	7
ISBN (Electronic)	9781538693803
DOIs	https://doi.org/10.1109/SmartWorld.2018.00238
State	Published - 4 Dec 2018
Externally published	Yes
Event	4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 - Guangzhou, China Duration: 7 Oct 2018 → 11 Oct 2018

Publication series

Name	Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

Conference

Conference	4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
Country/Territory	China
City	Guangzhou
Period	7/10/18 → 11/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Artificial intelligence
E-OEEPR
Energy consumption
Fuzzy clustering
PSO algorithm
Wireless sensor networks

Access to Document

10.1109/SmartWorld.2018.00238

Cite this

Javadpour, A., Adelpour, N., Wang, G., & Peng, T. (2018). Combing fuzzy clustering and pso algorithms to optimize energy consumption in WSN networks. In F. Loulergue, G. Wang, M. Z. A. Bhuiyan, X. Ma, P. Li, M. Roveri, Q. Han, & L. Chen (Eds.), Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 (pp. 1371-1377). Article 8560216 (Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartWorld.2018.00238

Javadpour, Amir ; Adelpour, Niusha ; Wang, Guojun et al. / Combing fuzzy clustering and pso algorithms to optimize energy consumption in WSN networks. Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018. editor / Frederic Loulergue ; Guojun Wang ; Md Zakirul Alam Bhuiyan ; Xiaoxing Ma ; Peng Li ; Manuel Roveri ; Qi Han ; Lei Chen. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1371-1377 (Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018).

@inproceedings{24c98f38fd6c40b4bf16c5012badf064,

title = "Combing fuzzy clustering and pso algorithms to optimize energy consumption in WSN networks",

abstract = "In wireless sensor networks, nodes are distributed in the environment and there is no access to replace batteries. Therefore, providing an algorithm to reduce energy consumption is a great major challenge. Heuristic algorithms can find best solutions (close to optimal solution) in a short time for nondeterministic polynomial problems. Thus, these algorithms are applied in optimal problems in math and artificial intelligence because math optimization methods are slow to find optimal solution or cannot find solution. In this paper, Fuzzy clustering is used to join sensors in the network and the particle swarm optimization algorithm (PSO) is used to estimate the initial value of cluster heads. Then, we evaluate our proposed method by NS2 simulator. The proposed algorithm is compared with Enhanced optimized energy efficient routing protocol E-OEEPR which is investigated by energy consumption, Packet Delivery Ratio (PDR) and network throughput.",

keywords = "Artificial intelligence, E-OEEPR, Energy consumption, Fuzzy clustering, PSO algorithm, Wireless sensor networks",

author = "Amir Javadpour and Niusha Adelpour and Guojun Wang and Tao Peng",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 ; Conference date: 07-10-2018 Through 11-10-2018",

year = "2018",

month = dec,

day = "4",

doi = "10.1109/SmartWorld.2018.00238",

language = "英语",

series = "Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1371--1377",

editor = "Frederic Loulergue and Guojun Wang and Bhuiyan, \{Md Zakirul Alam\} and Xiaoxing Ma and Peng Li and Manuel Roveri and Qi Han and Lei Chen",

booktitle = "Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018",

address = "美国",

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Javadpour, A, Adelpour, N, Wang, G & Peng, T 2018, Combing fuzzy clustering and pso algorithms to optimize energy consumption in WSN networks. in F Loulergue, G Wang, MZA Bhuiyan, X Ma, P Li, M Roveri, Q Han & L Chen (eds), Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018., 8560216, Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1371-1377, 4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018, Guangzhou, China, 7/10/18. https://doi.org/10.1109/SmartWorld.2018.00238

Combing fuzzy clustering and pso algorithms to optimize energy consumption in WSN networks. / Javadpour, Amir; Adelpour, Niusha; Wang, Guojun et al.
Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018. ed. / Frederic Loulergue; Guojun Wang; Md Zakirul Alam Bhuiyan; Xiaoxing Ma; Peng Li; Manuel Roveri; Qi Han; Lei Chen. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1371-1377 8560216 (Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018).

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

TY - GEN

T1 - Combing fuzzy clustering and pso algorithms to optimize energy consumption in WSN networks

AU - Javadpour, Amir

AU - Adelpour, Niusha

AU - Wang, Guojun

AU - Peng, Tao

PY - 2018/12/4

Y1 - 2018/12/4

N2 - In wireless sensor networks, nodes are distributed in the environment and there is no access to replace batteries. Therefore, providing an algorithm to reduce energy consumption is a great major challenge. Heuristic algorithms can find best solutions (close to optimal solution) in a short time for nondeterministic polynomial problems. Thus, these algorithms are applied in optimal problems in math and artificial intelligence because math optimization methods are slow to find optimal solution or cannot find solution. In this paper, Fuzzy clustering is used to join sensors in the network and the particle swarm optimization algorithm (PSO) is used to estimate the initial value of cluster heads. Then, we evaluate our proposed method by NS2 simulator. The proposed algorithm is compared with Enhanced optimized energy efficient routing protocol E-OEEPR which is investigated by energy consumption, Packet Delivery Ratio (PDR) and network throughput.

AB - In wireless sensor networks, nodes are distributed in the environment and there is no access to replace batteries. Therefore, providing an algorithm to reduce energy consumption is a great major challenge. Heuristic algorithms can find best solutions (close to optimal solution) in a short time for nondeterministic polynomial problems. Thus, these algorithms are applied in optimal problems in math and artificial intelligence because math optimization methods are slow to find optimal solution or cannot find solution. In this paper, Fuzzy clustering is used to join sensors in the network and the particle swarm optimization algorithm (PSO) is used to estimate the initial value of cluster heads. Then, we evaluate our proposed method by NS2 simulator. The proposed algorithm is compared with Enhanced optimized energy efficient routing protocol E-OEEPR which is investigated by energy consumption, Packet Delivery Ratio (PDR) and network throughput.

KW - Artificial intelligence

KW - E-OEEPR

KW - Energy consumption

KW - Fuzzy clustering

KW - PSO algorithm

KW - Wireless sensor networks

UR - https://www.scopus.com/pages/publications/85060272397

U2 - 10.1109/SmartWorld.2018.00238

DO - 10.1109/SmartWorld.2018.00238

M3 - 会议稿件

AN - SCOPUS:85060272397

T3 - Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

SP - 1371

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BT - Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

A2 - Loulergue, Frederic

A2 - Wang, Guojun

A2 - Bhuiyan, Md Zakirul Alam

A2 - Ma, Xiaoxing

A2 - Li, Peng

A2 - Roveri, Manuel

A2 - Han, Qi

A2 - Chen, Lei

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

Y2 - 7 October 2018 through 11 October 2018

ER -

Javadpour A, Adelpour N, Wang G, Peng T. Combing fuzzy clustering and pso algorithms to optimize energy consumption in WSN networks. In Loulergue F, Wang G, Bhuiyan MZA, Ma X, Li P, Roveri M, Han Q, Chen L, editors, Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1371-1377. 8560216. (Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018). doi: 10.1109/SmartWorld.2018.00238

Combing fuzzy clustering and pso algorithms to optimize energy consumption in WSN networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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