## 5 Intelligent Opportunistic Protocol (IOP)
All these applications are hugely dependent on the availability of real-time accurate data. Healthcare with IoT is one such area that involves critical decision making [31; 32; 33]. The proposed approach makes use of intelligent routing and, therefore, would help in making reliable and accurate delivery of data to the integrated healthcare infrastructure, for proper care of the patients. The proposed framework for e-healthcare is shown in Figure 10. As the proposed algorithm saves energy, the healthcare devices that are sensor-enabled can work for longer duration, and easy deployment and data analysis is possible due to IoT integration [34; 35; 36; 37; 38]. According to the proposed architecture, there can be any different kind of sensor nodes, such as smart wearables, sensors collecting health data like temperature, heartbeat, number of steps taken every day, sleep patterns, etc. These factors have a correlation with different existing diseases. The best part of the integration of IoT and WSN is that, with the help of sensors, data are collected and the same is stored in the cloud due to IoT integration. Once the health data is stored in the cloud, this cloud is a health-record cloud that belongs to a specific hospital or a public domain cloud. These cloud data can be accessed by healthcare professionals in a different way, to analyze the data and also provide feedback to a specific patient and group of patients. Figure 4:0 The proposed framework for integration of IoT with WSN for e-healthcare. In the recent epidemic of COVID-19, telemedicine had become one of the most popular uses of this platform. Doctors also started e-consulation to the patients and getting access to their health records, using the smart wearables of patients. Sill, there are many challenges, and lot of improvements are required. The proposed work add towards better energy efficiency of sensors, so that they can work for longer durations. Thereafter these sensor data can be integrated using IoT and cloud, as per the proposed approach shown in Figure 4:1

## 8 Conclusion and Future Work

In this paper, we proposed a new routing protocol (IOP) for intelligently selecting the potential relay node using naive Baye's classifier to achieve energy efficiency and reliability among sensor nodes. Residual energy and distance were used to find the probability of a node to become a next-hop forwarder. Simulation results showed that the proposed IOP improved the network lifetime, stability, and throughput of the sensor networks. The proposed protocol ensured that nodes that are far away from the base station become relay nodes, only when they have sufficient energy for performing this duty. Additionally, a node in the middle of the source and destination has the highest probability to become a forwarder in a round. The simulation result showed that the proposed OR scheme was better than MDOR and EEOR in energy efficiency and network lifetime. Future work will examine the possibility of ensuring secure data transmission intelligently over the network. Conceptualization, D.K.B., Y.S., A.S. and N.K. ; methodology, P.K.S. ; software, N.K. ; validation D.K.B. and Y.S. ; formal analysis, investigation, resources, data analysis, P.K.S., W.-C.H. and Y.S. ; writing--original draft preparation, writing--review and editing, D.K.B., Y.S., P.K.S. and W.-C.H. visualization, funding acquisition, W.-C.H. All authors have read and agreed to the published version of the manuscript. The authors are thankful to Ministry of Science and Technology, Taiwan (Grant No. MOST 108-2410-H-161-004). The authors declare no conflict of interest. ## References

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