Intelligent resource management and optimization for edge computing in wireless sensor networks

Le résumé fourni par la source

Due to its potential for real-time monitoring and data collecting in a variety of fields, wireless sensor networks (WSNs) have attracted a lot of attention. There is a demand for effective resource management and optimization strategies in WSNs, especially in the context of edge computing, given the explosive expansion of Internet of Things (IoT) applications. [ 3 ] The efficacy of the proposed framework in enhancing resource utilization, energy efficiency, and overall system performance will be evaluated by comparing its performance with that of current resource management techniques. The findings of this study are anticipated to promote edge computing in wireless sensor networks and allow more effective and dependable IoT applications across a range of industries. This research intends to overcome the resource issues and harness the advantages of edge computing for wireless sensor networks, opening the way for more effective IoT deployments.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.