Comparison and Analysis on AI Based Data Aggregation Techniques in Wireless Networks

Hradesh, Kumar and Pradeep Singh, Kumar Comparison and Analysis on AI Based Data Aggregation Techniques in Wireless Networks., 2018 . In International Conference on Computational Intelligence and Data Science, 2018. [Conference paper]

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English 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.

Item type: Conference paper
Keywords: Data Aggregation, Particle Swarm Optimization (PSO), Wireless Sensor Networks (WSN), Ant Colony Optimization (ACO), Network Lifetime
Subjects: L. Information technology and library technology > LB. Computer networking.
L. Information technology and library technology > LD. Computers.
L. Information technology and library technology > LH. Computer and network security.
L. Information technology and library technology > LK. Software methodologies and engineering.
Depositing user: Pradeep Singh Kumar
Date deposited: 31 Jul 2020 19:29
Last modified: 31 Jul 2020 19:30
URI: http://hdl.handle.net/10760/40231

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