Fractional lion optimization for cluster head-based routing protocol in wireless sensor network
•Fractional lion (FLION) is developed for finding the energy efficient routing path.•A new fitness function is developed based on the five different objectives.•Comparative discussion is presented with LEACH, PSO, ABC and FABC algorithms.•Proved that the life time of networks is maximized by the pro...
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| Published in: | Journal of the Franklin Institute Vol. 354; no. 11; pp. 4457 - 4480 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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Elmsford
Elsevier Ltd
01.07.2017
Elsevier Science Ltd |
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| ISSN: | 0016-0032, 1879-2693, 0016-0032 |
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| Abstract | •Fractional lion (FLION) is developed for finding the energy efficient routing path.•A new fitness function is developed based on the five different objectives.•Comparative discussion is presented with LEACH, PSO, ABC and FABC algorithms.•Proved that the life time of networks is maximized by the proposed FLION algorithm.
Due to the hopeful application of gathering information from unreachable position, wireless sensor network creates an immense challenge for data routing to maximize the communication with more energy efficiency. In order to design the energy efficient routing, the optimization based clustering protocols are more preferred in wireless sensor network. In this paper, we have proposed competent optimization based algorithm called Fractional lion (FLION) clustering algorithm for creating the energy efficient routing path. Here, the proposed clustering algorithm is used to increase the energy and lifetime of the network nodes by selecting the rapid cluster head. In addition, we have proposed multi-objective FLION clustering algorithm to develop the new fitness function based on the five objectives like intra-cluster distance, inter-cluster distance, cluster head energy, normal nodes energy and delay. Here, the proposed fitness function is used to find the rapid cluster centroid for an efficient routing path. Finally, the performance of the proposed clustering algorithm is compared with the existing clustering algorithms such as low energy adaptive clustering hierarchy (LEACH), particle swarm optimization (PSO), artificial bee colony (ABC) and Fractional ABC clustering algorithm. The results proved that the lifetime of the wireless sensor nodes is maximized by the proposed FLION based multi-objective clustering algorithm as compared with existing protocols. |
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| AbstractList | Due to the hopeful application of gathering information from unreachable position, wireless sensor network creates an immense challenge for data routing to maximize the communication with more energy efficiency. In order to design the energy efficient routing, the optimization based clustering protocols are more preferred in wireless sensor network. In this paper, we have proposed competent optimization based algorithm called Fractional lion (FLION) clustering algorithm for creating the energy efficient routing path. Here, the proposed clustering algorithm is used to increase the energy and lifetime of the network nodes by selecting the rapid cluster head. In addition, we have proposed multi-objective FLION clustering algorithm to develop the new fitness function based on the five objectives like intra-cluster distance, inter-cluster distance, cluster head energy, normal nodes energy and delay. Here, the proposed fitness function is used to find the rapid cluster centroid for an efficient routing path. Finally, the performance of the proposed clustering algorithm is compared with the existing clustering algorithms such as low energy adaptive clustering hierarchy (LEACH), particle swarm optimization (PSO), artificial bee colony (ABC) and Fractional ABC clustering algorithm. The results proved that the lifetime of the wireless sensor nodes is maximized by the proposed FLION based multi-objective clustering algorithm as compared with existing protocols. •Fractional lion (FLION) is developed for finding the energy efficient routing path.•A new fitness function is developed based on the five different objectives.•Comparative discussion is presented with LEACH, PSO, ABC and FABC algorithms.•Proved that the life time of networks is maximized by the proposed FLION algorithm. Due to the hopeful application of gathering information from unreachable position, wireless sensor network creates an immense challenge for data routing to maximize the communication with more energy efficiency. In order to design the energy efficient routing, the optimization based clustering protocols are more preferred in wireless sensor network. In this paper, we have proposed competent optimization based algorithm called Fractional lion (FLION) clustering algorithm for creating the energy efficient routing path. Here, the proposed clustering algorithm is used to increase the energy and lifetime of the network nodes by selecting the rapid cluster head. In addition, we have proposed multi-objective FLION clustering algorithm to develop the new fitness function based on the five objectives like intra-cluster distance, inter-cluster distance, cluster head energy, normal nodes energy and delay. Here, the proposed fitness function is used to find the rapid cluster centroid for an efficient routing path. Finally, the performance of the proposed clustering algorithm is compared with the existing clustering algorithms such as low energy adaptive clustering hierarchy (LEACH), particle swarm optimization (PSO), artificial bee colony (ABC) and Fractional ABC clustering algorithm. The results proved that the lifetime of the wireless sensor nodes is maximized by the proposed FLION based multi-objective clustering algorithm as compared with existing protocols. |
| Author | Udupi, Vishwanath Sirdeshpande, Nandakishor |
| Author_xml | – sequence: 1 givenname: Nandakishor surname: Sirdeshpande fullname: Sirdeshpande, Nandakishor email: nssirdeshpande@git.edu – sequence: 2 givenname: Vishwanath surname: Udupi fullname: Udupi, Vishwanath email: vishwa_u@yahoo.com |
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| Cites_doi | 10.1016/j.comcom.2010.10.003 10.1109/TVT.2012.2205284 10.1049/iet-com.2009.0117 10.1109/JCN.2010.6388472 10.1109/TEVC.2013.2281545 10.1016/j.inffus.2013.02.005 10.1002/2013RS005319 10.1109/TPWRS.2008.920199 10.1109/JSEN.2012.2204737 10.1109/MWC.2004.1368897 10.1109/TNS.2014.2309351 10.1049/iet-com.2014.0779 10.1016/j.aeue.2011.05.002 10.1109/JCN.2010.6391368 10.1007/s11276-015-1039-4 10.1016/j.cnsns.2014.04.017 10.1049/iet-wss.2012.0073 |
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| Snippet | •Fractional lion (FLION) is developed for finding the energy efficient routing path.•A new fitness function is developed based on the five different... Due to the hopeful application of gathering information from unreachable position, wireless sensor network creates an immense challenge for data routing to... |
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| StartPage | 4457 |
| SubjectTerms | Adaptive algorithms Algorithms Clustering Clusters Design optimization Fitness Multiple objective analysis Optimization Particle swarm optimization Position sensing Protocol (computers) Route planning Routing Wireless networks Wireless sensor networks |
| Title | Fractional lion optimization for cluster head-based routing protocol in wireless sensor network |
| URI | https://dx.doi.org/10.1016/j.jfranklin.2017.04.005 https://www.proquest.com/docview/1949672461 |
| Volume | 354 |
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