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Article

A Novel Algorithm to Optimize the Energy Consumption Using IoT and Based on Ant Colony Algorithm

by 1,* and 2,3
1
School of Computer and Communication, Beijing Information Technology College, Beijing 100101, China
2
School of Information and Communication Engineering, Beijing Information Science & Technology University, Beijing 100101, China
3
Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science & Technology University, Beijing 100101, China
*
Author to whom correspondence should be addressed.
Academic Editor: Pierluigi Siano
Energies 2021, 14(6), 1709; https://doi.org/10.3390/en14061709
Received: 4 February 2021 / Revised: 21 February 2021 / Accepted: 23 February 2021 / Published: 19 March 2021
(This article belongs to the Special Issue Advances and Trends in Smart Energy Communities)
Internet of Things (IoT) is a new concept in the information and communication technology studies which indicates that any creature (human, animal, or object) can send and receive data through communication networks, such as the internet or intranet platform. Wireless sensors have limited energy resources due to the use of batteries to supply energy, and since it is usually not possible to replace the batteries of these sensors. In addition, the lifespan of the wireless sensor network is limited and short. Therefore, reducing the energy consumption of sensors in IoT networks for increasing network lifespan is one of the fundamental challenges and issues in these networks. In this paper, a routing protocol is proposed and simulated based on an ant colony optimization algorithm’s performance. The clustering is performed with a routing method based on energy level criteria, collision reduction, distance from the cluster-head to the destination, and neighborhood energy in the proposed method. The cluster head is selected based on the maximum residual energy, minimum distance with other clusters, and consumed energy. This energy is minimized to reach the base station. The node with more energy than the threshold is selected as the new cluster head. Then, four conditions are applied for routing: the shortest path, the leading path, the shortest distance to the source node and the destination node, and routing. Results show that after about 50 cycles of transferring information, only the average of 19.4% of the initial energy is consumed in the network nodes. Therefore, obtained results illustrate that the proposed method helps to retain the energy more than 40% comparing the available methods. View Full-Text
Keywords: energy; optimization; IoT; ant colony algorithm energy; optimization; IoT; ant colony algorithm
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MDPI and ACS Style

Shi, B.; Zhang, Y. A Novel Algorithm to Optimize the Energy Consumption Using IoT and Based on Ant Colony Algorithm. Energies 2021, 14, 1709. https://doi.org/10.3390/en14061709

AMA Style

Shi B, Zhang Y. A Novel Algorithm to Optimize the Energy Consumption Using IoT and Based on Ant Colony Algorithm. Energies. 2021; 14(6):1709. https://doi.org/10.3390/en14061709

Chicago/Turabian Style

Shi, Baohui, and Yuexia Zhang. 2021. "A Novel Algorithm to Optimize the Energy Consumption Using IoT and Based on Ant Colony Algorithm" Energies 14, no. 6: 1709. https://doi.org/10.3390/en14061709

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