Clustering the sensor networks based on energy-aware affinity propagation

Due to the limited energy of wireless sensor networks (WSNs), improving energy efficiency and prolonging network lifetime are the key issues of WSNs application. In this paper, we proposed a cluster routing protocol based on energy-aware affinity propagation(CAP). The CAP protocol enhances network p...

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Published inComputer networks (Amsterdam, Netherlands : 1999) Vol. 207; p. 108853
Main Authors Zhang, Ke, Zhang, Guang, Yu, Xiuwu, Hu, Shaohua, Li, Moxiao
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 22.04.2022
Elsevier Sequoia S.A
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Online AccessGet full text
ISSN1389-1286
1872-7069
DOI10.1016/j.comnet.2022.108853

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Abstract Due to the limited energy of wireless sensor networks (WSNs), improving energy efficiency and prolonging network lifetime are the key issues of WSNs application. In this paper, we proposed a cluster routing protocol based on energy-aware affinity propagation(CAP). The CAP protocol enhances network performance from three aspects. First, an energy-aware affinity propagation clustering algorithm is proposed, which finds the optimal network clustering topology taking into account the total network energy consumption and load balancing. Second, an inter-cluster relay selection method is proposed for CH relay selection in multi-hop routing. At last, the energy threshold re-cluster scheme is applied to avoid frequent re-clustering that consumes a large amount of energy. The simulation experiments are conducted in two sink node deployment scenarios: sink external(case 1) and central(case 2) deployment. The results indicate that our proposed CAP outperforms LEACH, LEACHC, and KCE in terms of energy efficiency and network lifetime. In case 1, the first node death of the proposed CAP algorithm occurs in 1114 rounds, which is 61.4%, 64.5%, and 33.3% longer compared to LEACH, LEACHC, and KCE, respectively. In case 2, the first node death of the CAP algorithm occurs in 1372 rounds, which is 68.8%, 31.9%, and 49.8% longer compared to LEACH, LEACHC, and KCE, respectively.
AbstractList Due to the limited energy of wireless sensor networks (WSNs), improving energy efficiency and prolonging network lifetime are the key issues of WSNs application. In this paper, we proposed a cluster routing protocol based on energy-aware affinity propagation(CAP). The CAP protocol enhances network performance from three aspects. First, an energy-aware affinity propagation clustering algorithm is proposed, which finds the optimal network clustering topology taking into account the total network energy consumption and load balancing. Second, an inter-cluster relay selection method is proposed for CH relay selection in multi-hop routing. At last, the energy threshold re-cluster scheme is applied to avoid frequent re-clustering that consumes a large amount of energy. The simulation experiments are conducted in two sink node deployment scenarios: sink external(case 1) and central(case 2) deployment. The results indicate that our proposed CAP outperforms LEACH, LEACH-C, and KCE in terms of energy efficiency and network lifetime. In case 1, the first node death of the proposed CAP algorithm occurs in 1114 rounds, which is 61.4%, 64.5%, and 33.3% longer compared to LEACH, LEACH-C, and KCE, respectively. In case 2, the first node death of the CAP algorithm occurs in 1372 rounds, which is 68.8%, 31.9%, and 49.8% longer compared to LEACH, LEACH-C, and KCE, respectively.
Due to the limited energy of wireless sensor networks (WSNs), improving energy efficiency and prolonging network lifetime are the key issues of WSNs application. In this paper, we proposed a cluster routing protocol based on energy-aware affinity propagation(CAP). The CAP protocol enhances network performance from three aspects. First, an energy-aware affinity propagation clustering algorithm is proposed, which finds the optimal network clustering topology taking into account the total network energy consumption and load balancing. Second, an inter-cluster relay selection method is proposed for CH relay selection in multi-hop routing. At last, the energy threshold re-cluster scheme is applied to avoid frequent re-clustering that consumes a large amount of energy. The simulation experiments are conducted in two sink node deployment scenarios: sink external(case 1) and central(case 2) deployment. The results indicate that our proposed CAP outperforms LEACH, LEACHC, and KCE in terms of energy efficiency and network lifetime. In case 1, the first node death of the proposed CAP algorithm occurs in 1114 rounds, which is 61.4%, 64.5%, and 33.3% longer compared to LEACH, LEACHC, and KCE, respectively. In case 2, the first node death of the CAP algorithm occurs in 1372 rounds, which is 68.8%, 31.9%, and 49.8% longer compared to LEACH, LEACHC, and KCE, respectively.
ArticleNumber 108853
Author Zhang, Ke
Yu, Xiuwu
Zhang, Guang
Li, Moxiao
Hu, Shaohua
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Cites_doi 10.1007/s12559-019-09665-9
10.1109/TWC.2002.804190
10.1016/j.jnca.2017.01.031
10.1109/ACCESS.2016.2598719
10.1007/s00500-016-2270-3
10.1016/j.asoc.2015.11.044
10.1126/science.1136800
10.1007/s12083-020-00933-2
10.1109/MAHSS.2005.1542849
10.1016/j.scs.2020.102254
10.1109/JSEN.2014.2358567
10.1109/JIOT.2019.2897119
10.1007/s11227-016-1785-9
10.1016/j.jnca.2017.03.025
10.1002/dac.4768
10.1109/HICSS.2000.926982
10.1016/j.comcom.2019.10.006
10.1109/WAINA.2013.123
10.1109/TMC.2004.41
10.1109/TWC.2011.092011.110717
10.1007/s11276-016-1270-7
10.1016/j.comnet.2020.107376
10.3390/s18092899
10.1109/JSEN.2018.2872065
10.1007/s11227-018-2261-5
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Keywords Wireless sensor networks
Energy efficiency
Cluster routing
Affinity propagation
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References Behera, Mohapatra, Samal, Khan, Daneshmand, Gandomi (bib0007) 2019; 6
J. Anzola, J. Pascual, G. Tarazona, R. González, A clustering WSN routing protocol based on k-d tree algorithm, Sensors (Switzerland). 18 (2018) 1–26. https://doi.org/10.3390/s18092899.
Seyfollahi, Ghaffari (bib0004) 2020; 13
gan Zhang, Liu, Zhang, Liang (bib0015) 2017; 88
Park, Lee, Lee (bib0023) 2021; 67
Phoemphon, So-In, Aimtongkham, Nguyen (bib0013) 2020
G.Y. Park, H. Kim, H.W. Jeong, H.Y. Youn, A novel cluster head selection method based on k-means algorithm for energy efficient wireless sensor network, Proc. - 27th Int. Conf. Adv. Inf. Netw. Appl. Work. WAINA 2013. (2013) 910–915. https://doi.org/10.1109/WAINA.2013.123.
Baranidharan, Santhi (bib0012) 2016; 40
Mood, Javidi (bib0020) 2019; 11
Pachlor, Shrimankar (bib0027) 2018; 18
Neamatollahi, Naghibzadeh (bib0011) 2018; 74
Tarhani, Kavian, Siavoshi (bib0006) 2014; 14
Singh Mann, Singh (bib0016) 2017; 83
Sefati, Abdi, Ghaffari (bib0003) 2021; 34
Lin, Tsai (bib0008) 2004; 3
gan Zhang, li Niu, Liu (bib0014) 2017; 21
Frey, Dueck (bib0024) 2007; 315
C. Li, M. Ye, G. Chen, J. Wu, An energy-efficient unequal clustering mechanism for wireless sensor networks, 2nd IEEE Int. Conf. Mob. Ad-Hoc Sens. Syst. MASS 2005. 2005 (2005) 597–604. https://doi.org/10.1109/MAHSS.2005.1542849.
Wang, Gao, Wang, Sangaiah, Lim (bib0026) 2019; 19
Rao, Jana, Banka (bib0018) 2017; 23
Naranjo, Shojafar, Mostafaei, Pooranian, Baccarelli (bib0005) 2017; 73
Heinzelman, Chandrakasan, Balakrishnan (bib0030) 2002; 1
Song, Liu, He (bib0017) 2020
Shahraki, Taherkordi, Haugen, Eliassen (bib0002) 2020; 180
Wei, Jin, Vural, Moessner, Tafazolli (bib0010) 2011; 10
Moorthi (bib0019) 2020; 149
Chithaluru, Al-Turjman, Kumar, Stephan (bib0028) 2020; 61
Yan, Zhou, Ding (bib0001) 2016; 4
Wang, Gao, Wang, Sangaiah, Lim (bib0025) 2019; 19
W.R. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy-efficient communication protocol for wireless microsensor networks, Proc. Annu. Hawaii Int. Conf. Syst. Sci. 2000-January (2000) 1–10.
Shahraki (10.1016/j.comnet.2022.108853_bib0002) 2020; 180
gan Zhang (10.1016/j.comnet.2022.108853_bib0015) 2017; 88
Phoemphon (10.1016/j.comnet.2022.108853_bib0013) 2020
Rao (10.1016/j.comnet.2022.108853_bib0018) 2017; 23
Wang (10.1016/j.comnet.2022.108853_bib0026) 2019; 19
Park (10.1016/j.comnet.2022.108853_bib0023) 2021; 67
Wang (10.1016/j.comnet.2022.108853_bib0025) 2019; 19
Lin (10.1016/j.comnet.2022.108853_bib0008) 2004; 3
Naranjo (10.1016/j.comnet.2022.108853_bib0005) 2017; 73
Tarhani (10.1016/j.comnet.2022.108853_bib0006) 2014; 14
Song (10.1016/j.comnet.2022.108853_bib0017) 2020
10.1016/j.comnet.2022.108853_bib0009
Sefati (10.1016/j.comnet.2022.108853_bib0003) 2021; 34
gan Zhang (10.1016/j.comnet.2022.108853_bib0014) 2017; 21
Wei (10.1016/j.comnet.2022.108853_bib0010) 2011; 10
Mood (10.1016/j.comnet.2022.108853_bib0020) 2019; 11
10.1016/j.comnet.2022.108853_bib0029
Chithaluru (10.1016/j.comnet.2022.108853_bib0028) 2020; 61
Yan (10.1016/j.comnet.2022.108853_bib0001) 2016; 4
Neamatollahi (10.1016/j.comnet.2022.108853_bib0011) 2018; 74
Singh Mann (10.1016/j.comnet.2022.108853_bib0016) 2017; 83
10.1016/j.comnet.2022.108853_bib0021
10.1016/j.comnet.2022.108853_bib0022
Heinzelman (10.1016/j.comnet.2022.108853_bib0030) 2002; 1
Seyfollahi (10.1016/j.comnet.2022.108853_bib0004) 2020; 13
Baranidharan (10.1016/j.comnet.2022.108853_bib0012) 2016; 40
Moorthi (10.1016/j.comnet.2022.108853_bib0019) 2020; 149
Frey (10.1016/j.comnet.2022.108853_bib0024) 2007; 315
Behera (10.1016/j.comnet.2022.108853_bib0007) 2019; 6
Pachlor (10.1016/j.comnet.2022.108853_bib0027) 2018; 18
References_xml – volume: 180
  year: 2020
  ident: bib0002
  article-title: Clustering objectives in wireless sensor networks: a survey and research direction analysis
  publication-title: Comput. Netw.
– volume: 4
  start-page: 5673
  year: 2016
  end-page: 5686
  ident: bib0001
  article-title: Recent advances in energy-efficient routing protocols for wireless sensor networks: a review
  publication-title: IEEE Access
– volume: 149
  start-page: 90
  year: 2020
  end-page: 98
  ident: bib0019
  article-title: Energy consumption and network connectivity based on Novel-LEACH-POS protocol networks
  publication-title: Comput. Commun.
– volume: 74
  start-page: 2329
  year: 2018
  end-page: 2352
  ident: bib0011
  article-title: Distributed unequal clustering algorithm in large-scale wireless sensor networks using fuzzy logic
  publication-title: J. Supercomput.
– volume: 19
  start-page: 437
  year: 2019
  end-page: 442
  ident: bib0025
  article-title: An affinity propagation-based self-adaptive clustering method for wireless sensor networks
  publication-title: Sensors (Switzerland)
– volume: 1
  start-page: 660
  year: 2002
  end-page: 670
  ident: bib0030
  article-title: An application-specific protocol architecture for wireless microsensor networks
  publication-title: IEEE Trans. Wirel. Commun.
– volume: 40
  start-page: 495
  year: 2016
  end-page: 506
  ident: bib0012
  article-title: DUCF: distributed load balancing Unequal Clustering in wireless sensor networks using Fuzzy approach
  publication-title: Appl. Soft Comput. J.
– year: 2020
  ident: bib0013
  article-title: An energy-efficient fuzzy-based scheme for unequal multihop clustering in wireless sensor networks
  publication-title: J. Ambient Intell. Humaniz. Comput.
– start-page: 2020
  year: 2020
  ident: bib0017
  article-title: Hybrid PSO and evolutionary game theory protocol for clustering and routing in wireless sensor network
  publication-title: J. Sensors.
– volume: 67
  start-page: 4019
  year: 2021
  end-page: 4037
  ident: bib0023
  article-title: Enhanced KOCED routing protocol with K-means algorithm
  publication-title: Comput. Mater. Contin.
– volume: 61
  year: 2020
  ident: bib0028
  article-title: I-AREOR: an energy-balanced clustering protocol for implementing green IoT in smart cities
  publication-title: Sustain. Cities Soc.
– volume: 11
  start-page: 719
  year: 2019
  end-page: 734
  ident: bib0020
  article-title: Rank-based gravitational search algorithm: a novel nature-inspired optimization algorithm for wireless sensor networks clustering
  publication-title: Cognit. Comput.
– volume: 21
  start-page: 7313
  year: 2017
  end-page: 7323
  ident: bib0014
  article-title: Novel PEECR-based clustering routing approach
  publication-title: Soft Comput
– volume: 19
  start-page: 437
  year: 2019
  end-page: 442
  ident: bib0026
  article-title: An affinity propagation-based self-adaptive clustering method for wireless sensor networks
  publication-title: Sensors (Switzerland)
– volume: 73
  start-page: 733
  year: 2017
  end-page: 755
  ident: bib0005
  article-title: P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks
  publication-title: J. Supercomput.
– volume: 6
  start-page: 5132
  year: 2019
  end-page: 5139
  ident: bib0007
  article-title: Residual energy-based cluster-head selection in WSNs for IoT application
  publication-title: IEEE Internet Things J
– volume: 88
  start-page: 1
  year: 2017
  end-page: 9
  ident: bib0015
  article-title: Novel unequal clustering routing protocol considering energy balancing based on network partition & distance for mobile education
  publication-title: J. Netw. Comput. Appl.
– volume: 14
  start-page: 3944
  year: 2014
  end-page: 3954
  ident: bib0006
  article-title: SEECH: scalable energy efficient clustering hierarchy protocol in wireless sensor networks
  publication-title: IEEE Sens. J.
– volume: 315
  start-page: 972
  year: 2007
  end-page: 976
  ident: bib0024
  article-title: Clustering by passing messages between data points
  publication-title: Science (80-.)
– volume: 18
  start-page: 9821
  year: 2018
  end-page: 9828
  ident: bib0027
  article-title: LAR-CH: a cluster-head rotation approach for sensor networks
  publication-title: IEEE Sens. J.
– volume: 3
  start-page: 366
  year: 2004
  end-page: 379
  ident: bib0008
  article-title: HEED: a Hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
  publication-title: IEEE Trans. Mob. Comput.
– reference: J. Anzola, J. Pascual, G. Tarazona, R. González, A clustering WSN routing protocol based on k-d tree algorithm, Sensors (Switzerland). 18 (2018) 1–26. https://doi.org/10.3390/s18092899.
– volume: 34
  start-page: 1
  year: 2021
  end-page: 19
  ident: bib0003
  article-title: Cluster-based data transmission scheme in wireless sensor networks using black hole and ant colony algorithms
  publication-title: Int. J. Commun. Syst.
– volume: 13
  start-page: 1886
  year: 2020
  end-page: 1902
  ident: bib0004
  article-title: Reliable data dissemination for the Internet of Things using Harris hawks optimization
  publication-title: Peer-to-Peer Netw. Appl
– reference: C. Li, M. Ye, G. Chen, J. Wu, An energy-efficient unequal clustering mechanism for wireless sensor networks, 2nd IEEE Int. Conf. Mob. Ad-Hoc Sens. Syst. MASS 2005. 2005 (2005) 597–604. https://doi.org/10.1109/MAHSS.2005.1542849.
– volume: 10
  start-page: 3973
  year: 2011
  end-page: 3983
  ident: bib0010
  article-title: An energy-efficient clustering solution for wireless sensor networks
  publication-title: IEEE Trans. Wirel. Commun.
– reference: W.R. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy-efficient communication protocol for wireless microsensor networks, Proc. Annu. Hawaii Int. Conf. Syst. Sci. 2000-January (2000) 1–10.
– volume: 83
  start-page: 40
  year: 2017
  end-page: 52
  ident: bib0016
  article-title: Energy efficient clustering protocol based on improved metaheuristic in wireless sensor networks
  publication-title: J. Netw. Comput. Appl.
– reference: G.Y. Park, H. Kim, H.W. Jeong, H.Y. Youn, A novel cluster head selection method based on k-means algorithm for energy efficient wireless sensor network, Proc. - 27th Int. Conf. Adv. Inf. Netw. Appl. Work. WAINA 2013. (2013) 910–915. https://doi.org/10.1109/WAINA.2013.123.
– volume: 23
  start-page: 2005
  year: 2017
  end-page: 2020
  ident: bib0018
  article-title: A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks
  publication-title: Wirel. Netw.
– volume: 11
  start-page: 719
  year: 2019
  ident: 10.1016/j.comnet.2022.108853_bib0020
  article-title: Rank-based gravitational search algorithm: a novel nature-inspired optimization algorithm for wireless sensor networks clustering
  publication-title: Cognit. Comput.
  doi: 10.1007/s12559-019-09665-9
– volume: 19
  start-page: 437
  year: 2019
  ident: 10.1016/j.comnet.2022.108853_bib0025
  article-title: An affinity propagation-based self-adaptive clustering method for wireless sensor networks
  publication-title: Sensors (Switzerland)
– volume: 1
  start-page: 660
  year: 2002
  ident: 10.1016/j.comnet.2022.108853_bib0030
  article-title: An application-specific protocol architecture for wireless microsensor networks
  publication-title: IEEE Trans. Wirel. Commun.
  doi: 10.1109/TWC.2002.804190
– volume: 83
  start-page: 40
  year: 2017
  ident: 10.1016/j.comnet.2022.108853_bib0016
  article-title: Energy efficient clustering protocol based on improved metaheuristic in wireless sensor networks
  publication-title: J. Netw. Comput. Appl.
  doi: 10.1016/j.jnca.2017.01.031
– volume: 67
  start-page: 4019
  year: 2021
  ident: 10.1016/j.comnet.2022.108853_bib0023
  article-title: Enhanced KOCED routing protocol with K-means algorithm
  publication-title: Comput. Mater. Contin.
– volume: 4
  start-page: 5673
  year: 2016
  ident: 10.1016/j.comnet.2022.108853_bib0001
  article-title: Recent advances in energy-efficient routing protocols for wireless sensor networks: a review
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2016.2598719
– volume: 21
  start-page: 7313
  year: 2017
  ident: 10.1016/j.comnet.2022.108853_bib0014
  article-title: Novel PEECR-based clustering routing approach
  publication-title: Soft Comput
  doi: 10.1007/s00500-016-2270-3
– volume: 40
  start-page: 495
  year: 2016
  ident: 10.1016/j.comnet.2022.108853_bib0012
  article-title: DUCF: distributed load balancing Unequal Clustering in wireless sensor networks using Fuzzy approach
  publication-title: Appl. Soft Comput. J.
  doi: 10.1016/j.asoc.2015.11.044
– volume: 315
  start-page: 972
  year: 2007
  ident: 10.1016/j.comnet.2022.108853_bib0024
  article-title: Clustering by passing messages between data points
  publication-title: Science (80-.)
  doi: 10.1126/science.1136800
– volume: 13
  start-page: 1886
  year: 2020
  ident: 10.1016/j.comnet.2022.108853_bib0004
  article-title: Reliable data dissemination for the Internet of Things using Harris hawks optimization
  publication-title: Peer-to-Peer Netw. Appl
  doi: 10.1007/s12083-020-00933-2
– ident: 10.1016/j.comnet.2022.108853_bib0009
  doi: 10.1109/MAHSS.2005.1542849
– volume: 61
  year: 2020
  ident: 10.1016/j.comnet.2022.108853_bib0028
  article-title: I-AREOR: an energy-balanced clustering protocol for implementing green IoT in smart cities
  publication-title: Sustain. Cities Soc.
  doi: 10.1016/j.scs.2020.102254
– volume: 14
  start-page: 3944
  year: 2014
  ident: 10.1016/j.comnet.2022.108853_bib0006
  article-title: SEECH: scalable energy efficient clustering hierarchy protocol in wireless sensor networks
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2014.2358567
– volume: 6
  start-page: 5132
  year: 2019
  ident: 10.1016/j.comnet.2022.108853_bib0007
  article-title: Residual energy-based cluster-head selection in WSNs for IoT application
  publication-title: IEEE Internet Things J
  doi: 10.1109/JIOT.2019.2897119
– volume: 73
  start-page: 733
  year: 2017
  ident: 10.1016/j.comnet.2022.108853_bib0005
  article-title: P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks
  publication-title: J. Supercomput.
  doi: 10.1007/s11227-016-1785-9
– volume: 88
  start-page: 1
  year: 2017
  ident: 10.1016/j.comnet.2022.108853_bib0015
  article-title: Novel unequal clustering routing protocol considering energy balancing based on network partition & distance for mobile education
  publication-title: J. Netw. Comput. Appl.
  doi: 10.1016/j.jnca.2017.03.025
– year: 2020
  ident: 10.1016/j.comnet.2022.108853_bib0013
  article-title: An energy-efficient fuzzy-based scheme for unequal multihop clustering in wireless sensor networks
  publication-title: J. Ambient Intell. Humaniz. Comput.
– volume: 34
  start-page: 1
  year: 2021
  ident: 10.1016/j.comnet.2022.108853_bib0003
  article-title: Cluster-based data transmission scheme in wireless sensor networks using black hole and ant colony algorithms
  publication-title: Int. J. Commun. Syst.
  doi: 10.1002/dac.4768
– ident: 10.1016/j.comnet.2022.108853_bib0029
  doi: 10.1109/HICSS.2000.926982
– volume: 149
  start-page: 90
  year: 2020
  ident: 10.1016/j.comnet.2022.108853_bib0019
  article-title: Energy consumption and network connectivity based on Novel-LEACH-POS protocol networks
  publication-title: Comput. Commun.
  doi: 10.1016/j.comcom.2019.10.006
– start-page: 2020
  year: 2020
  ident: 10.1016/j.comnet.2022.108853_bib0017
  article-title: Hybrid PSO and evolutionary game theory protocol for clustering and routing in wireless sensor network
  publication-title: J. Sensors.
– ident: 10.1016/j.comnet.2022.108853_bib0022
  doi: 10.1109/WAINA.2013.123
– volume: 19
  start-page: 437
  year: 2019
  ident: 10.1016/j.comnet.2022.108853_bib0026
  article-title: An affinity propagation-based self-adaptive clustering method for wireless sensor networks
  publication-title: Sensors (Switzerland)
– volume: 3
  start-page: 366
  year: 2004
  ident: 10.1016/j.comnet.2022.108853_bib0008
  article-title: HEED: a Hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
  publication-title: IEEE Trans. Mob. Comput.
  doi: 10.1109/TMC.2004.41
– volume: 10
  start-page: 3973
  year: 2011
  ident: 10.1016/j.comnet.2022.108853_bib0010
  article-title: An energy-efficient clustering solution for wireless sensor networks
  publication-title: IEEE Trans. Wirel. Commun.
  doi: 10.1109/TWC.2011.092011.110717
– volume: 23
  start-page: 2005
  year: 2017
  ident: 10.1016/j.comnet.2022.108853_bib0018
  article-title: A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks
  publication-title: Wirel. Netw.
  doi: 10.1007/s11276-016-1270-7
– volume: 180
  year: 2020
  ident: 10.1016/j.comnet.2022.108853_bib0002
  article-title: Clustering objectives in wireless sensor networks: a survey and research direction analysis
  publication-title: Comput. Netw.
  doi: 10.1016/j.comnet.2020.107376
– ident: 10.1016/j.comnet.2022.108853_bib0021
  doi: 10.3390/s18092899
– volume: 18
  start-page: 9821
  year: 2018
  ident: 10.1016/j.comnet.2022.108853_bib0027
  article-title: LAR-CH: a cluster-head rotation approach for sensor networks
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2018.2872065
– volume: 74
  start-page: 2329
  year: 2018
  ident: 10.1016/j.comnet.2022.108853_bib0011
  article-title: Distributed unequal clustering algorithm in large-scale wireless sensor networks using fuzzy logic
  publication-title: J. Supercomput.
  doi: 10.1007/s11227-018-2261-5
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Snippet Due to the limited energy of wireless sensor networks (WSNs), improving energy efficiency and prolonging network lifetime are the key issues of WSNs...
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SubjectTerms Affinity
Affinity propagation
Algorithms
Cluster routing
Clustering
Energy consumption
Energy efficiency
Energy management
Nodes
Propagation
Relay
Routing (telecommunications)
Topology
Wireless networks
Wireless sensor networks
Title Clustering the sensor networks based on energy-aware affinity propagation
URI https://dx.doi.org/10.1016/j.comnet.2022.108853
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