## 5 Conclusions  
Devices in the IoMT environment should possess smooth connectivity and interoperability to achieve maximal efficacy in industrial applications. Moreover, security is also an important aspect to be considered in industrial data. In this paper, both security and interoperability have been achieved in the IoMT environment. Initially, the authentication of IoMT devices is carried out, and the devices are authenticated by the gateway. The clustering of devices is carried out to reduce the energy consumption of the devices, and cluster head selection is performed using the zSlices Triune Fuzzy Sets algorithm based on significant factors. Environmental monitoring is executed to facilitate the effective collection of data by the cluster head (CH), which facilitates interoperability among the devices. The collected data are further examined for correctness using Ten-Fold Cross Entropy Verification (TCEV) in which only the correct data are allowed to transmit to the cloud server. The security of correct data is ensured by implementing Twine-LiteNet, with which the consumption of time for encryption is reduced by operating in parallel mode. The routing of encrypted data to the cloud is performed using the Search and Rescue Optimization algorithm (SRO), and it is performed based on four significant factors. Compared with the counterparts, the suggested technique achieves a 20% improvement in throughput, a 15% reduction in packet drop rate (PDR), and a 35% increase in network lifespan. Furthermore, it achieves around 10% reduction in both the amount of energy used and the amount of latency. In the future, exploring the integration of blockchain technology for enhanced data immutability and privacy, along with investigating the potential of federated learning techniques to further optimize collaborative data analysis and model training, holds promising prospects for advancing the proposed method.  
Conceptualization, E.V.D.S., K.S. and S.M.Q.; methodology, E.V.D.S., K.S. and S.M.Q.; implementation, E.V.D.S.; validation, K.S., S.M.Q. and P.P.; investigation, E.V.D.S., K.S. and S.M.Q.; resources, K.S., S.M.Q. and P.P.; writing--original draft preparation, E.V.D.S. and K.S.; writing--review and editing, S.M.Q. and P.P.; visualization, E.V.D.S. and K.S.; supervision, K.S. and S.M.Q.; project administration, K.S., S.M.Q. and P.P.; funding acquisition, S.M.Q. and P.P. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** Data is contained within the article.  
Figure 12: Number of nodes vs. security.  
**Acknowledgments:** This work is technically supported by the Ramco Institute of Technology, Vellore Institute of Technology, Effat University, CESI LINEACT, Cracow University of Technology, and Polish Academy of Sciences. The authors are thankful to the Effat University, Cracow University of Technology and Polish Academy of Sciences for financially supporting this paper.  
**Conflicts of Interest:** The authors declare no conflict of interest.