Dynamic Adaptive Data Transmission and Efficient Congestion Control in Wireless Acoustic Sensor Networks

Wireless acoustic sensor networks (WASNs) represent a unique set of challenges and opportunities in the realm of data transmission and routing due to their inherent characteristics and environmental constraints. This paper explores the concept of adaptive transmission flow control and route sensing within WASNs, focusing on addressing route congestion and optimizing communication efficiency. This research proposes an adaptive, cost-effective and dynamic energy-efficient architecture for real-time data transmission across distributed points, along with a congestion control scheme for congestion avoidance, detection and mitigation within WASNs. The main goal of this system is to efficiently transmit data while reducing transmission time, with a crucial focus on maintaining high-quality data transmission even during congested situations. The proposed approach leverages route maps to dynamically adapt transmission paths based on real-time congestion sensing, allowing nodes to intelligently reroute data to avoid bottlenecks and optimize network performance. Additionally, receiver capability is considered as a key factor in the adaptive routing process, ensuring that data is efficiently delivered to intended recipients even under varying network conditions. By integrating adaptive data transmission and route congestion sensing capabilities, serving a dual role in both transmitting data information to the access point for storing information of data collected throughout the operational cycle and control the congestion into WASNs. This research contributes to enhancing the reliability, energy efficiency, multihop communicability and adaptability of data transmission in acoustic sensor networks, paving the way for improved performance and scalability in diverse application scenarios.