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Smart city article details

Title	Energy-Efficient Routing Paradigm For Resource-Constrained Internet Of Things-Based Cognitive Smart City
ID_Doc	23511
Authors	Verma S.
Year	2022
Published	Expert Systems, 39, 5
DOI	http://dx.doi.org/10.1111/exsy.12905
Abstract	The exponential growth in the smart cities and the massive deployment of wireless sensor network-based Internet of Things (IoT) has resulted in generating the humongous data, which needs to be orchestrated. Further, it is observed that the resource-constrained IoT devices act as stumbling block in the successful realization of cognitive smart cities. Hence, there is a high need to manage the data transmission from massive IoT devices and also to enhance the productivity of such devices. To address this issue, in this article, we present energy-efficient routing paradigm for resource-constrained IoT-based cognitive smart city (EI-CSC). We adapt Sooty tern optimization algorithm (STOA) due to its faster convergence and high ‘exploration and exploitation’ capabilities to perform energy efficient cluster-based routing. We focus primarily on rendering the optimized solution to the cluster head selection problem through STOA. The outcomes of simulation analysis of EI-CSC promises enhanced performance in the context of stability period and network lifetime by 83.4% and 107.7%, ‘respectively’ as compared to recently proposed ‘genetic algorithm and PSO based hybrid clustering algorithm’. © 2021 John Wiley & Sons Ltd.
Author Keywords	cluster head; cognitive smart city; IoT; network operational period; resource-constrained; STOA; wireless sensor networks

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