Intelligent Water Drops Algorithm-Based Aggregation in Heterogeneous Wireless Sensor Network. (28th September 2022)

• Record Type: Journal Article
• Authors: Nonita, S.; Xalikovich, Pardayev Abdunabi; Kumar, C. Ramesh; Rakhra, Manik; Samori, Issah Abubakari; Maquera, Yuselino Maquera; Gonzáles, José Luis Arias
• Other Names: Raja Linesh Academic Editor.
• Is Part Of: Journal of sensors. Volume 2022(2022)
• Publication Date: 2022-09-28
• Subjects: Detectors -- Periodicals; 681.205
• DOI: 10.1155/2022/6099330
• Languages: English
• ISSNs: 1687-725X

Abstract

Abstract : This paper provides a novel implementation of the intelligent water drops (IWD) method for resolving data aggregation issues in heterogeneous wireless sensor networks (WSN). When the aggregating node is utilized to transmit the data to the base station, the research attempts to show that the traffic situations of WSN may be modified appropriately by parameter tuning and algorithm modification. IWD is used to generate an optimum data aggregation tree in WSN as one of its applications. IWD assumes that all nodes in the environment are identical, resulting in identical parameter updates for all nodes. In practical scenarios, however, diverse nodes with variable beginning energy, communication range, and sensing range characteristics are deployed. In order to replicate the influence of heterogeneity in the environment, improved IID (IIWD) is offered as an enhancement to the original IID. The suggested enhancement is appropriate for scenarios in which the aggregation node is utilized to transmit data to the base station in heterogeneous configurations. In terms of residual energy, dead nodes, payload, and network lifespan, a series of simulation results demonstrates that the proposed IIWD significantly improves the accuracy and effectiveness of the IWD method in comparison.