A Novel Framework for Enhancing Data Collection Efficiency Through Multiple Mobile Sink Nodes in Wireless Sensor Networks

Abstract

The transmission of oceanographic data and the existence of impurities in Submerged Wireless Sensor Networks (SWSN) have been the subject of a significant amount of research in recent years. Maintaining link stability, latency in establishing connections, data loss in real-time broadcasts, and limited transmission ranges are some of the difficulties these networks face. Several routing solutions have been proposed to address these issues, but none of them have been able to provide effective transmission. Supported by both simulation and experimental results, this research presents a framework for an all-inclusive data-collecting system. Our system uses intelligent cluster sensor nodes to successfully relay temperature, pH, and turbidity data in the Indus River; turbidity values range from 6.5 to 31 NTU. Our suggested approach considerably enhances data transmission performance in submerged wireless sensor networks, according to the experimental results. When combined with Zigbee technology, a Modified Pseudo Orthogonal M-Sequence Data Acquisition System can greatly improve the performance of Routing Protocols in Submerged Wireless Sensor Networks.