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- W3118155074 abstract "In modern era WSN, data aggregation technique is the challenging area for researchers from long time. Numbers of researchers have proposed neural network (NN) and fuzzy logic based data aggregation methods in Wireless Environment. The main objective of this paper is to analyse the existing work on artificial intelligence (AI) based data aggregation techniques in WSNs. An attempt has been made to identify the strength and weakness of AI based techniques.In addition to this, a modified protocol is designed and developed.And its implementation also compared with other existing approaches ACO and PSO. Proposed approach is better in terms of network lifetime and throughput of the networks. In future an attempt can be made to overcome the existing challenges during data aggregation in WSN using different AI and Meta heuristic based techniques." @default.
- W3118155074 created "2021-01-05" @default.
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- W3118155074 date "2018-01-01" @default.
- W3118155074 modified "2023-09-23" @default.
- W3118155074 title "Comparison and Analysis on AI Based Data Aggregation Techniques in Wireless Networks" @default.
- W3118155074 hasPublicationYear "2018" @default.
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