Enhancing Wireless Multimedia Sensor Networks with Optimization Algorithms: A Review

Wireless multimedia sensor networks (WMSN) have become increasingly important in various fields due to their affordability, low power consumption, and ability to operate autonomously with diverse functions. WMSN plays a crucial role in boosting tracking and monitoring applications with wireless multimedia audio and video sensor networks. However, efficiently managing and transmitting real-time multimedia data in these networks poses challenges such as energy consumption, data aggregation, and maintaining quality of service (QoS). To address these challenges and enhance WMSN performance, optimization algorithms have been introduced. This paper provides a thorough overview of Optimization algorithms for WMSNs, with a focus on highlighting their key features. Additionally, it includes a detailed classification and comparative analysis based on relevant metrics. The paper also addresses design challenges and outlines potential areas for future research.