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In multi-hop wireless sensor networks (WSNs), sensors operate autonomously and make routing decisions independently. However, these devices are often located in remote or inaccessible areas and have limited energy and memory resources. As the network scales, efficient management to conserve resources and extend its lifetime becomes increasingly challenging. Software-defined WSNs (SDWSNs) offer a solution by enabling centralized control of low-power WSNs. However, continuously updating the controller with the network state generates significant traffic, resulting in energy loss, increased overhead, and reduced scalability and network lifetime. This study proposes a scalable SDWSN framework (SSDWSN) to address these challenges. The proposed approach focuses on scheduling, balanced routing, aggregation, and reducing traffic overhead caused by periodic network state updates to the …