Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment
Wireless sensor networks have grown rapidly with the innovation in Information Technology. Sensor nodes are distributed and deployed over the area for gathering requisite information. Sensor nodes possess a negative characteristic of limited energy which pulls back the network from exploiting its pe...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/457402 |
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| author | Jung-Yoon Kim Tripti Sharma Brijesh Kumar G. S. Tomar Karan Berry Won-Hyung Lee |
| author_facet | Jung-Yoon Kim Tripti Sharma Brijesh Kumar G. S. Tomar Karan Berry Won-Hyung Lee |
| author_sort | Jung-Yoon Kim |
| collection | DOAJ |
| description | Wireless sensor networks have grown rapidly with the innovation in Information Technology. Sensor nodes are distributed and deployed over the area for gathering requisite information. Sensor nodes possess a negative characteristic of limited energy which pulls back the network from exploiting its peak capabilities. Hence, it is necessary to gather and transfer the information in an optimized way which reduces the energy dissipation. Ant Colony Optimization (ACO) is being widely used in optimizing the network routing protocols. Ant Based Routing can play a significant role in the enhancement of network life time. In this paper, Intercluster Ant Colony Optimization algorithm (IC-ACO) has been proposed that relies upon ACO algorithm for routing of data packets in the network and an attempt has been made to minimize the efforts wasted in transferring the redundant data sent by the sensors which lie in the close proximity of each other in a densely deployed network. The IC-ACO algorithm was studied by simulation for various network scenarios. The results depict the lead of IC-ACO as compared to LEACH protocol by indicating higher energy efficiency, prolonged network lifetime, enhanced stability period, and the elevated amount of data packets in a densely deployed wireless sensor network. |
| format | Article |
| id | doaj-art-a503e85f25c841c5b74ee4f2cb3b11cf |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-a503e85f25c841c5b74ee4f2cb3b11cf2025-08-20T02:23:06ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-04-011010.1155/2014/457402457402Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense EnvironmentJung-Yoon Kim0Tripti Sharma1Brijesh Kumar2G. S. Tomar3Karan Berry4Won-Hyung Lee5 Department of Image Engineering, Chung-Ang University, ChungAng Cultural Arts Center, Office No. 503, Dongjak-gu, Seoul 156-756, Republic of Korea Department of Information Technology, Maharaja Surajmal Institute of Technology, Janakpuri, New Delhi 110058, India Department of Information Technology, Lingaya's University, Faridabad, Haryana 121002, India Department of Electrical and Computer Engg, University of West Indies, St. Augustine 1000, Trinidad and Tobago Department of Information Technology, Maharaja Surajmal Institute of Technology, Janakpuri, New Delhi 110058, India Department of Image Engineering, Chung-Ang University, ChungAng Cultural Arts Center, Office No. 503, Dongjak-gu, Seoul 156-756, Republic of KoreaWireless sensor networks have grown rapidly with the innovation in Information Technology. Sensor nodes are distributed and deployed over the area for gathering requisite information. Sensor nodes possess a negative characteristic of limited energy which pulls back the network from exploiting its peak capabilities. Hence, it is necessary to gather and transfer the information in an optimized way which reduces the energy dissipation. Ant Colony Optimization (ACO) is being widely used in optimizing the network routing protocols. Ant Based Routing can play a significant role in the enhancement of network life time. In this paper, Intercluster Ant Colony Optimization algorithm (IC-ACO) has been proposed that relies upon ACO algorithm for routing of data packets in the network and an attempt has been made to minimize the efforts wasted in transferring the redundant data sent by the sensors which lie in the close proximity of each other in a densely deployed network. The IC-ACO algorithm was studied by simulation for various network scenarios. The results depict the lead of IC-ACO as compared to LEACH protocol by indicating higher energy efficiency, prolonged network lifetime, enhanced stability period, and the elevated amount of data packets in a densely deployed wireless sensor network.https://doi.org/10.1155/2014/457402 |
| spellingShingle | Jung-Yoon Kim Tripti Sharma Brijesh Kumar G. S. Tomar Karan Berry Won-Hyung Lee Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment International Journal of Distributed Sensor Networks |
| title | Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment |
| title_full | Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment |
| title_fullStr | Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment |
| title_full_unstemmed | Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment |
| title_short | Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment |
| title_sort | intercluster ant colony optimization algorithm for wireless sensor network in dense environment |
| url | https://doi.org/10.1155/2014/457402 |
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