Energy adaptive block design based neighbor discovery for asynchronous wireless sensor networks

Abstract

Background: The need for an efficient neighbor discovery model is tremendously essential with the development of Wireless Sensor Networks (WSNs). The neighbor discovery model has growingly been significant in enhancing the performance of WSNs. Methods: In this study, adaptive energy duty-cycle, energy-efficient Balanced Incomplete Block Design (BIBD) hybrid scheme is proposed for WSNs that controls collisions, and overhearing obstacle by maintaining energy over WSNs. Energy adaptive BIBD leverages the features of symmetric BIBD. Evaluation of the proposed model is demonstrated using the TOSSIM tool, and the performance parameters are compared with other wellknown neighbor discovery process, including Disco, U-Connect, and Searchlight, Hedis, and Todis algorithms. Findings: The outputs of our simulation study illustrates that the proposed model significantly outperforms other neighbor discovery algorithms with reference to energy-efficiency and discovery latency.