Toward Green and Secure Communication in IoT-Enabled Maritime Transportation System

Abstract

The role of Internet of Things (IoT) in rendering the ever-growing advancements in Maritime Transportation System (MTS), is impeccable and promising. The IoT devices employed for communication for MTS are resource-constrained and can be jeopardized by unknown security attacks or threats. Hence, to pact with the energy limitation and to ensure secure communication, in this article, we propose a novel routing technique named Intelligent Internet of Things ($l^{3}$) for Green and secure communication in IoT-enabled MTS. In this article, we apply a suggested meta-heuristic approach called the Artificial Rabbits Optimization (ARO) for novel selection of the Cluster Head (CH). The ARO ensures the optimized selection of CH while considering various parameters namely, energy index, distance parameter, etc. Extensive experiments of the proposed approach show that $l^{3}$ outperforms the state-of-the-art methods using a variety of performance measures as a benchmark. $l^{3}$ conserves the energy of IoT devices employed for MTS and it also ensures the secure communication among them.