Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{143544,
        author = {Anjali Patil and Prajakta Sutar , Sheetal Chouhan and Ashwini Raut and Dr.Prashant Kumbharkar},
        title = {ENERGY EFFICIENT CLUSTERING AND DATA AGGREGATION USING CUCKOO SEARCH ALGORITHM IN WSN},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {12},
        pages = {278-282},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143544},
        abstract = {WIRELESS sensor networks (WSNs) have been widely deployed for various applications, such as environment sensing, building safety monitoring, earthquake prediction, etc. In general WSN architecture, storage nodes aggregate data from nearby sensors and answer queries from the sink of the network which is also called as two-tiered WSN architecture.
                    In past many routing, power management, and data scattering protocols have been particularly designed for WSNs where energy consumption is an essential design issue. In this work, we propose an energy efficient cluster formation and data aggregation using potential attribute following Cuckoo algorithm in wireless sensor network. It considers spatial & location related data as a parameter to design, dependable and reliable routing So that efficient cluster head selection and energy efficient routing both will be achieved using spatial and geographical routing.},
        keywords = {Routing Protocol; In-network aggregation, WSN Cluster, Geographical Routing},
        month = {},
        }