Regarding the preservation of human life, this is one of the secondary research goals that the WSN strives to achieve. There have been the development and testing of a number of cutting-edge algorithms and protocols, and many more are now in the process of being created. Among the aforementioned methods, clustering is one that is particularly well known for its capacity to lengthen the lifespan of the web. It is also one of the solutions with the lowest possible price. Two strategies have been proposed as a means to extend the life of the WSN, improve its functionality, and maximize its usefulness. The Energy-Aware Ant Colony Optimization (EAACOP) protocol, which is derived from the Time Domain Protocol, was at first devised with the goal of reducing overall power consumption. The mission of EAACOP is to build an energy-efficient group with the highest possible number of nodes, choose the most qualified individual to serve as the group’s head, restrict the amount of space available for intragroup communication, and extend the lifetime of the web as much as feasible. By using the pillar K -means grouping strategy, we are able to generate groups and guarantee that every node is covered to the greatest extent that is practically possible. During TDMA-based MAC protocol data transmission, it is used to determine who would make ideal group leaders and to evaluate the amount of energy that is consumed. The viability of the protocol is shown by simulating it and comparing it with contemporary protocols; the conclusions reached are predicated on QoS performance criteria. Specifically, as compared to older methods, the packet distribution ratio, throughput, and residual energy are raised, while the packet loss ratio, network latency, edge-to-edge delay, and battery power consumption are lowered. This results in an overall improvement.

Patient’s medical records are now accessible from anywhere and at any time, thanks to the Internet and the changes it has wrought in the healthcare industry. Electronic health records were dogged by a lack of standards, but that was not the only issue. Decentralized online ledgers were already being proposed and used to solve interoperability and privacy issues when blockchain-based systems were first built. As far as technical issues go, scaling, usability, and accessibility stand out. On the one hand, it is difficult to keep secure access control measures on-chain while simultaneously keeping a wide range of medical data off-chain. Finding out who owns what and spreading access control of data is the second challenge in medical settings. Using temporal blockchain, the Secured Healthcare System (SHS) aims to address these problems (TB). As an SHS fundamental building piece, the context-based Merkle tree emphasizes privacy, enhanced integrity management, and access control methods (CBMT). For interoperability and scale control, the framework uses temporal features, HL7 criteria, and IPFS data management (IPFS). Personalized micro booklet (PML) security was found to be affected by the SHS framework, namely, on the time-based shadow notions and the contextual components of the PML (PML). Taking advantage of the architecture’s enormous potential to solve the challenges of siloed data and enabling tamper-proof, secure healthcare transaction has been sought.