The main aim of this research is to implement an effective internet of things (IoT) gateway selection technique. Initially, the heterogeneous IoT network is simulated where the simulated network consists of IoT nodes, IoT gateway and cluster head (CH). Then, CH selection is performed by dynamic or incremental clustering, which is achieved by adapting black hole entropic fuzzy clustering (BHEFC) with respect to different parameters, namely energy, distance and information entropy. The next step is gateway selection where the process is performed and the ON/OFF strategy is accomplished using hybrid metrics where the parameters, like number of nodes, delay, and link quality considered for gateway selection. Furthermore, optimal routing path is selected by competitive multi-verse dragonfly algorithm (CMVDA). The CMVDA is derived by the integration of the competitive multi-verse optimiser (CMVO) and dragonfly algorithm (DA). Here, the implementation of the method is done by the Python tool. This method achieved performance throughput of 0.470915, energy of 0.638078 J, and delay of 0.399453 sec.
Desai et al. (Thu,) studied this question.