Due to rapid growth and tremendous advancement, the Internet of Things (IoT) has been considered as a superior technology in recent years and increased its demand over the internet world because of its smart services. IoT has a wide range of applications over the industry, business, and academia. Still, security and routing remain a huge challenging task because of some reasons, such as heterogeneity issues, large energy consumption, and uncontrollable environment. In order to cope up with such security issues, it is essential to develop an energy-efficient routing protocol. Hence, this article presents an Adaptive energy harvesting and Trust aware routing (EHTARA) algorithm for optimal routing such that it prolongs the lifetime of the network. The optimal secure routing path is chosen to exploit the cost metric function. Moreover, the classification of big data is performed at MapReduce framework using stacked autoencoder, which is trained using the proposed Adaptive \(E^{2}\)-Bat algorithm. Moreover, the proposed Adaptive \(E^{2}\)-Bat algorithm is derived by incorporating adaptive principle with \(E^{2}\)-Bat algorithm. The proposed Adaptive EHTARA achieved an energy of 0.948 J that reveals the superiority of the proposed scheme.

由于快速增长和巨大进步，物联网（IoT）近年来被认为是一项卓越的技术，并因其智能服务而增加了对互联网世界的需求。物联网在工业、商业和学术界有着广泛的应用。尽管如此，由于异构问题、大量能源消耗和环境不可控等原因，安全和路由仍然是一项艰巨的任务。为了应对这样的安全问题，开发一种节能的路由协议是必不可少的。因此，本文提出了一种自适应能量收集和信任感知路由 (EHTARA) 算法，用于优化路由，从而延长网络的生命周期。选择最佳安全路由路径以利用成本度量函数。而且，\(E^{2}\) -Bat 算法。此外，所提出的自适应\(E^{2}\) -Bat 算法是通过将自适应原理与\(E^{2}\) -Bat 算法相结合而导出的。所提出的自适应 EHTARA 达到了 0.948 J 的能量，这揭示了所提出方案的优越性。