An Energy Consumption Management Framework in IoT and Smart Cities

Document Type : Original Article

Authors

Golestan university

Abstract

One of the fundamental challenges in managing smart cities within the Internet of Things (IoT) context is the amount of energy consumed, which is supplied through electrical energy. This research, while introducing the advantages and challenges of IoT in smart cities, presents a new framework for energy consumption management in smart cities. For this purpose, the distance metric between communication nodes in a smart city is considered as a fundamental parameter for energy consumption management. Also, another parameter, referred to as the ‘remaining battery charge of each transmitting node’ is engaged. This allows for an appropriate decision to be made regarding the selection of a node for transmission, taking into account the distance and the remaining battery charge of a node. Therefore, the distance and the battery charge of the nodes are examined by a fuzzy logic system, and by assigning a number between zero and one hundred to each node, the best candidate node is identified from among the nodes. In this way, each node with a higher assigned number is considered a more suitable candidate for data transmission. Throughout the network, some nodes are selected as agents that undertake the task of transmitting their own data and that of their neighboring nodes. The selection of these agent nodes is a fundamental challenge that has infinitely many solutions. For this purpose, the Grey Wolf Optimizer algorithm has been used to find the optimal values for the agent nodes.

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Main Subjects

Energy Engineering and Management
Volume 15, Issue 2
January 2026

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