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 MSequence Data Acquisition System can greatly improve the
performance of Routing Protocols in Submerged Wireless Sensor
Networks