Mobile Agent Based Distributed EM Algorithm For Data Clustering In Sensor Networks. Issue 1 (2nd January 2016)

• Record Type: Journal Article
• Authors: Safarinejadian, Behrouz; Mozaffari, Mohiyeddin
• Is Part Of: Intelligent automation & soft computing. Volume 22:Issue 1(2016)
• Page Start: 45
• Page End: 60
• Publication Date: 2016-01-02
• Subjects: Mobile agents -- Data clustering -- EM algorithm -- Sensor network -- Density estimation; Artificial intelligence -- Periodicals; Intelligent control systems -- Periodicals; 003.5
• DOI: 10.1080/10798587.2015.1039246
• Languages: English
• ISSNs: 1079-8587

Abstract

Abstract: In this paper, a mobile agent based distributed EM (Expectation Maximization) algorithm is developed for density estimation and data clustering in sensor networks. It has been assumed that sensor measurements can be statistically modeled by a common Gaussian mixture model. This algorithm not only executes the EM algorithm in a distributed manner, but reduces the number of iterations of the EM algorithm and increases its convergence rate. Convergence of the proposed method will also be studied analytically and will be shown that the estimated parameters will eventually converge to their true values. Finally, the proposed method will be applied to synthetic data sets in order to show its promising performance.