| DC Field | Value | Language |
|---|
| dc.contributor.author | Bhushan, Shashi | |
| dc.contributor.author | Pal, Raju | |
| dc.contributor.author | Antoshchuk, Svetlana | |
| dc.coverage.temporal | 21-25 August 2018, Lviv | |
| dc.date.accessioned | 2020-06-19T12:05:47Z | - |
| dc.date.available | 2020-06-19T12:05:47Z | - |
| dc.date.created | 2018-02-28 | |
| dc.date.issued | 2018-02-28 | |
| dc.identifier.citation | Bhushan S. Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Network: A Hybrid Approach using GA and K-means / Shashi Bhushan, Raju Pal, Svetlana Antoshchuk // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 381–385. — (Hybrid Systems of Computational Intelligence). | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52528 | - |
| dc.description.abstract | —A hybrid approach combining genetic
algorithm(GA) and K-means algorithm, called KGA is
proposed in this paper for design of clustering protocol with
energy efficiency for non-homogeneous wireless sensor
network. The problem of optimal clustering can be considered
as a problem for searching for an optimal number of clusters
in a big search space such that WSN metrics are optimized. In
the proposed protocol, distance between clusters, distance
within clusters and a number of cluster heads are employed to
search for optimal number of clusters and cluster heads.
Maximization of energy saving and lifetime of a network are
the two important metrics. The KGA is designed with a hybrid
approach to population initialization scheme and objective
function. The superiority of the protocol over other heuristic
and meta-heuristic techniques is extensively demonstrated on
several parameters: energy efficiency, network life time and throughput. | |
| dc.format.extent | 381-385 | |
| dc.language.iso | en | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 | |
| dc.subject | Optimal clustering | |
| dc.subject | WSN | |
| dc.subject | Genetic Algorithm | |
| dc.subject | Kmeans | |
| dc.title | Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Network: A Hybrid Approach using GA and K-means | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2018 | |
| dc.contributor.affiliation | School of Computer and Information Science | |
| dc.contributor.affiliation | Jaypee Institute of Information Technology | |
| dc.contributor.affiliation | ONPU | |
| dc.format.pages | 5 | |
| dc.identifier.citationen | Bhushan S. Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Network: A Hybrid Approach using GA and K-means / Shashi Bhushan, Raju Pal, Svetlana Antoshchuk // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 381–385. — (Hybrid Systems of Computational Intelligence). | |
| dc.relation.references | [1] Ian F. Akyildiz, et al., "A survey on sensor networks," IEEE Communications magazine, vol. 40.8, pp. 102-114, 2002. | |
| dc.relation.references | [2] J. Han, and M. Kamber, Data Mining: Concepts and Techniques, 2 ed. Morgan Kaufman Publishers, 2006 | |
| dc.relation.references | [3] W. B. Heinzelman, A. P. Chandrakasan, H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Transactions on wireless communications, vol. 1(4) pp. 660-670, Oct. 2002 | |
| dc.relation.references | [4] Georgios Smaragdakis, Ibrahim Matta, and Azer Bestavros, “SEP: A stable election protocol for clustered heterogeneous wireless sensor networks,” Boston University Computer Science Department, May 31 2004. | |
| dc.relation.references | [5] A. W. Matin, and S. Hussain, “Intelligent hierarchical cluster-based routing,” in: Proceedings of the international workshop on mobility and scalability in wireless sensor networks (MSWSN) in IEEE international conference on Distributed Computing in Sensor Networks (DCOSS), pp. 165–172, 2006. | |
| dc.relation.references | [6] Zbigniew Michalewicz, Genetic algorithms + data structures = evolution programs. Springer, 2009 | |
| dc.relation.references | [7] Bara’a A. Attea, and Enan A. Khalil. “A new evolutionary based routing protocol for clustered heterogeneous wireless sensor networks,” Applied Soft Computing vol. 12.7, pp. 1950-1957, 2012. | |
| dc.relation.references | [8] Mohammed Abo-Zahhad, et al. "A new energy-efficient adaptive clustering protocol based on genetic algorithm for improving the lifetime and the stable period of wireless sensor networks," International Journal of Energy, Information and Communications, vol. 5.3 pp. 47-72, 2014. | |
| dc.relation.references | [9] Pratyay Kuila, and Prasanta K. Jana, “Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach,” Engineering Applications of Artificial Intelligence, vol. 33 pp. 127-140, 2014. | |
| dc.relation.references | [10] James Kennedy, "Particle swarm optimization." Encyclopedia of machine learning. Springer US, 2011. 760-766 | |
| dc.relation.references | [11] Suneet K. Gupta, and Prasanta K. Jana. “Energy efficient clustering and routing algorithms for wireless sensor networks: GA based approach,” Wireless Personal Communications, vol. 83.3 pp. 2403-2423, 2015. | |
| dc.relation.references | [12] Stefano Basagni, et al., “A generalized clustering algorithm for peerto-peer networks,” in Workshop on Algorithmic Aspects of Communication. 1997. | |
| dc.relation.referencesen | [1] Ian F. Akyildiz, et al., "A survey on sensor networks," IEEE Communications magazine, vol. 40.8, pp. 102-114, 2002. | |
| dc.relation.referencesen | [2] J. Han, and M. Kamber, Data Mining: Concepts and Techniques, 2 ed. Morgan Kaufman Publishers, 2006 | |
| dc.relation.referencesen | [3] W. B. Heinzelman, A. P. Chandrakasan, H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks," IEEE Transactions on wireless communications, vol. 1(4) pp. 660-670, Oct. 2002 | |
| dc.relation.referencesen | [4] Georgios Smaragdakis, Ibrahim Matta, and Azer Bestavros, "SEP: A stable election protocol for clustered heterogeneous wireless sensor networks," Boston University Computer Science Department, May 31 2004. | |
| dc.relation.referencesen | [5] A. W. Matin, and S. Hussain, "Intelligent hierarchical cluster-based routing," in: Proceedings of the international workshop on mobility and scalability in wireless sensor networks (MSWSN) in IEEE international conference on Distributed Computing in Sensor Networks (DCOSS), pp. 165–172, 2006. | |
| dc.relation.referencesen | [6] Zbigniew Michalewicz, Genetic algorithms + data structures = evolution programs. Springer, 2009 | |
| dc.relation.referencesen | [7] Bara’a A. Attea, and Enan A. Khalil. "A new evolutionary based routing protocol for clustered heterogeneous wireless sensor networks," Applied Soft Computing vol. 12.7, pp. 1950-1957, 2012. | |
| dc.relation.referencesen | [8] Mohammed Abo-Zahhad, et al. "A new energy-efficient adaptive clustering protocol based on genetic algorithm for improving the lifetime and the stable period of wireless sensor networks," International Journal of Energy, Information and Communications, vol. 5.3 pp. 47-72, 2014. | |
| dc.relation.referencesen | [9] Pratyay Kuila, and Prasanta K. Jana, "Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach," Engineering Applications of Artificial Intelligence, vol. 33 pp. 127-140, 2014. | |
| dc.relation.referencesen | [10] James Kennedy, "Particle swarm optimization." Encyclopedia of machine learning. Springer US, 2011. 760-766 | |
| dc.relation.referencesen | [11] Suneet K. Gupta, and Prasanta K. Jana. "Energy efficient clustering and routing algorithms for wireless sensor networks: GA based approach," Wireless Personal Communications, vol. 83.3 pp. 2403-2423, 2015. | |
| dc.relation.referencesen | [12] Stefano Basagni, et al., "A generalized clustering algorithm for peerto-peer networks," in Workshop on Algorithmic Aspects of Communication. 1997. | |
| dc.citation.conference | IEEE second international conference "Data stream mining and processing" | |
| dc.citation.spage | 381 | |
| dc.citation.epage | 385 | |
| dc.coverage.placename | Львів | |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference
|
