Abstract
Interoperability acts as a major issue in heterogeneous Internet of Things (IoT), nowadays. In prior researches, the interacted IoT devices are not feasible without monitoring the services coordination as well as interoperability. Thus, the Taylor-Competitive Multi-Verse Dragonfly Algorithm (Taylor CMVDA) is developed to support interoperability in heterogeneous IoT for cross-layer optimisation. In this paper, an optimised path through routing is established in the physical layer, the gateway selection is established in the network layer and the Cluster head (CH) is employed in the data link layer. The CH node and gateway node are selected through an adaptive black hole (BH) dynamic clustering and neighbourhood approach. The routing is performed through the introduced Taylor CMVDA, which is the integration of Competitive Multi-Verse Optimizer (CMVO) and Dragonfly Algorithm (DA) with the Taylor series. The proposed model attains the throughput, energy, and delay of 0.5492, 0.6768 J and 0.3538 sec.
Published Version
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