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Jumper fire fly optimization algorithm for mobile anchor based localization
C.B. Priya,
Published in Blue Eyes Intelligence Engineering and Sciences Publication
Volume: 8
Issue: 7
Pages: 674 - 679

Estimating the spatial coordinates of nodes is one of the research challenges in Wireless Sensors Networks (WSN). Localization problem deals with the identification of the sensor node’s position. Localization is a primary task for data dissemination, object tracking, routing etc. All these applications are location dependent. This work aims at identifying the physical coordinates of nodes in the network by providing minimal localization error and thereby increasing localization accuracy. Mobile Anchor-based positioning, a range-free localization method used for localization of the nodes. The proposed algorithm used for localization is Jumper Firefly Optimization Algorithm through Mobile Anchor Positioning (JFA-MAP). The objective is to apply JFA-MAP algorithm over the results of MAP with Mobile Anchor & Neighbor (MAP-M&N) to improve the location accuracy. Based on Root Mean Square Error (RMSE), the experimental analysis was performed, and simulation studies convey that the proposed JFA-MAP approach is efficient in reducing the localization error than MAP-M&N algorithm. © BEIESP.

About the journal
JournalInternational Journal of Innovative Technology and Exploring Engineering
PublisherBlue Eyes Intelligence Engineering and Sciences Publication