## 5 Conclusions and Perspectives  
This paper addresses the issue of energy consumption and sustainability control in wireless sensor networks (WSNs), focusing on the specific case of communicating materials used in the context of Structure Health Monitoring for the construction industry. Current research in WSNs tackles the reconfiguration problem using either centralized or distributed solutions but rarely considers hybrid solutions that combine both approaches, unlike the manufacturing sector, where hybrid solutions have been explored for years. Accordingly, this article proposes the SADHoA-WSN framework, composed of a three-layer structure that supports a three-level dynamic process. Each level requires specific functions, integrated into _D-Agents_ or _Communication Agents_. Due to space constraints, the various sequence diagrams that complement the class diagram and support the overall process are not described here. Implementing this architecture is challenging, as it requires constructing each layer from the base to the top, selecting the best-suited algorithms for each functionality, and testing the entire structure. The final section describes the current implementation efforts. The implementation environment is detailed, with a focus on different existing functionalities. Future work will involve developing the remaining functionalities of SADHoA-WSN and conducting experiments on various application cases (manufacturing, healthcare, etc.) and constraints (node mobility, network security, etc. ), always guided by the overall energy consumption. SADHoA-WSN is highly promising as it proposes a reconfiguration framework based on a holonic approach. This approach, initially developed and proven in the manufacturing industry, has not yet been implemented in network systems. Holonic methodologies have demonstrated their applicability and effectiveness in various industrial contexts, suggesting significant potential when adapted to network environments. This framework leverages the inherent flexibility and robustness of holonic systems, which can lead to more adaptive and resilient network configurations. Importantly, this framework could pave the way for greener solutions in sensor networks. By optimizing reconfiguration processes, energy consumption in these networks  
Figure 16: Energy analysis of new network structure for lossy and lossless aggregation. can be significantly reduced, contributing to more sustainable and environmentally friendly operations. This is particularly relevant in the context of new construction projects, where integrating sustainable technologies is becoming increasingly critical. Our framework not only offers technical innovations but also aligns with broader goals of sustainability and environmental responsibility. While the entire framework is still under testing, some parts have already been validated on laboratory prototypes and industrial applications [2]. It lays a robust foundation for future research, with the promise of transforming network reconfiguration processes and contributing to the development of more sustainable infrastructure. This positions our research as a key step towards innovative and eco-friendly technological advancements in network systems. Ensuring the sustainability of communication networks (IoT, 5/6G, etc.) has become a central issue to address. Public acceptance of these new technologies will depend not only on demonstrating that the next generation consumes less energy than the previous one but also on dynamically controlling their operation to provide greater adaptability and optimize their lifespan. This work lays the groundwork for optimized energy control in IoT networks. Undoubtedly, there are still significant energy challenges to overcome in the future, such as dynamic energy management, integration of renewable energy sources, and energy efficiency in edge computing. Holonic Architecture Conceptualization, P.A. ; Resources, O.C. ; Experiments and Writing--original draft, review & editing, W.D., M.D. and S.N.