Because of their dependability, increased security, and high levels of confidence, blockchain-controlled businesses are becoming increasingly prevalent in cutting-edge and medicinal Internet of Things (IoT) applications. Due to the distributed nature of their infrastructure, which enhances the protections that are already in place, these blockchains are ideally suitable for data applications that require a rapid response time. When dealing with these blockchains, however, a significant amount of processing capacity as well as memory is required. The majority of this CPU time is taken up by tedious and infrequent encryption computations, which are necessary but time-consuming. Because the information that is stored in the chain by one substance is only occasionally watched by other substances, a significant portion of the RAM that is used to keep these networks running is also wasted. An Ant Lion Optimization (ALO)-based side chaining model is proposed in this article with the goal of enhancing the functionality of blockchain technology. In this approach, the principal blockchain is partitioned into a great number of subsidiary blockchains that operate on their own. Sandboxing makes it possible for these side-chains to have the optimal memory consumption and processing requirements, which in turn makes it possible to carry out more complicated operations. It is predicted that the suggested computation will have a delay efficiency that is 4.5% lower while having an energy efficiency that is 19.5% higher than alternative blockchain techniques

Ant, Lion, Optimization, Blockchain, Sidechain, Delay, Energy, Scenarios