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Heidari, Ehsan, Motameni, Homayun, Movaghar, Ali. (1400). A meta-heuristic clustering method to reduce energy consumption in Internet of things. نشریه هنرهای کاربردی, 12(1), 45-58. doi: 10.22075/ijnaa.2021.4657
Ehsan Heidari; Homayun Motameni; Ali Movaghar. "A meta-heuristic clustering method to reduce energy consumption in Internet of things". نشریه هنرهای کاربردی, 12, 1, 1400, 45-58. doi: 10.22075/ijnaa.2021.4657
Heidari, Ehsan, Motameni, Homayun, Movaghar, Ali. (1400). 'A meta-heuristic clustering method to reduce energy consumption in Internet of things', نشریه هنرهای کاربردی, 12(1), pp. 45-58. doi: 10.22075/ijnaa.2021.4657
Heidari, Ehsan, Motameni, Homayun, Movaghar, Ali. A meta-heuristic clustering method to reduce energy consumption in Internet of things. نشریه هنرهای کاربردی, 1400; 12(1): 45-58. doi: 10.22075/ijnaa.2021.4657

A meta-heuristic clustering method to reduce energy consumption in Internet of things

International Journal of Nonlinear Analysis and Applications
مقاله 5، دوره 12، شماره 1، مرداد 2021، صفحه 45-58    اصل مقاله (379.54 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.4657
نویسندگان
Ehsan Heidari1؛ Homayun Motameni* 1؛ Ali Movaghar2
1Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran
2Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
تاریخ دریافت: 07 اردیبهشت 1399،  تاریخ بازنگری: 05 آبان 1399،  تاریخ پذیرش: 09 آبان 1399 
چکیده
The Internet of Things (IoT) is an emerging phenomenon in the field of communication, in which smart objects communicate with each other and respond to user requests. The IoT provides an integrated framework providing interoperability across various platforms. One of the most essential and necessary components of IoT is wireless sensor networks. Sensor networks play a vital role in the lowest level of IoT. Sensors in sensor networks use batteries which are not replaceable, and hence, energy consumption becomes of great importance. For this reason, many algorithms have been recently proposed to reduce energy consumption. In this paper, a meta-heuristic method called whale optimization algorithm(WOA) is used to clustering and select the optimal cluster head in the network. Factors such as residual energy, shorter distance, and collision reduction have been considered to determine the optimal cluster head. To prove the optimal performance of the proposed method, it is simulated and compared with three other methods in the same conditions. It outperforms the other methods in terms of energy consumption and the number of dead nodes.
کلیدواژه‌ها
Internet of Things؛ clustering؛ routing؛ energy consumption؛ whale optimization algorithm
مراجع

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