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 in | Computer networks (Amsterdam, Netherlands : 1999) Vol. 207; p. 108853 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
22.04.2022
Elsevier Sequoia S.A |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1389-1286 1872-7069 |
| DOI | 10.1016/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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Ke surname: Zhang fullname: Zhang, Ke organization: School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070 China – sequence: 2 givenname: Guang surname: Zhang fullname: Zhang, Guang organization: School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070 China – sequence: 3 givenname: Xiuwu surname: Yu fullname: Yu, Xiuwu email: yxw_usc@163.com organization: School of Resource & Environment and Safety Engineering, University of South China, Hengyang 421001, China – sequence: 4 givenname: Shaohua surname: Hu fullname: Hu, Shaohua organization: School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070 China – sequence: 5 givenname: Moxiao surname: Li fullname: Li, Moxiao organization: School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070 China |
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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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| 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 |
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