A noble approach of ACO algorithm for WSN
In energy compelled wireless sensor networks (WSNs), the means by which to perform effectual routing is among the main focuses. A noble approach of ant colony optimization (ACO) algorithm for discovering the optimum route in the WSNs for data transmission is proposed here for enhancement and optimiz...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE Explore
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/67821/1/67821_A%20Noble%20Approach%20of%20ACO%20Algorithm%20for%20WSN.pdf http://irep.iium.edu.my/67821/7/67821_A%20Noble%20Approach%20of%20ACO%20Algorithm%20for%20WSN_scopus.pdf http://irep.iium.edu.my/67821/ https://ieeexplore.ieee.org/document/8539295 |
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| Summary: | In energy compelled wireless sensor networks (WSNs), the means by which to perform effectual routing is among the main focuses. A noble approach of ant colony optimization (ACO) algorithm for discovering the optimum route in the WSNs for data transmission is proposed here for enhancement and optimization considering the issue of path selection to reach the nodes. Using the proposed ACO algorithm and considering both the node mobility and the existing energy of the nodes, an optimum route and best cost from the originating node to the target node can be detected. The proposed algorithm has been simulated and verified utilizing MATLAB and the simulation results demonstrate that new ant colony optimization based algorithm can achieve better performance and faster convergence to determine the best cost route. |
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