1
Assistant Professor, Department of Computer Engineering
2
Assistant Professor, Department of Computer Engineering. Payame Noor University, Tehran, Iran
10.48301/kssa.2024.415637.2702
Abstract
Wireless sensor networks have hardware and software constraints including energy constraints and radio domain constraints that make designing the right protocols for these networks challenging a. The wireless sensor network has scalability, energy efficiency and flexibility. Nodes play a role in various applications that absorb energy from micro nodes. The energy consumption of node will be an important parameter for participation in the operation of the wireless sensor node. Hierarchical cluster of wireless sensor networks the most well-known is the management mode of these systems, which has favorable conditions including simple management, neighborhood Communications, Compatibility, organization , but these types of clusters cause problems, for example, improper maintenance, high support costs, energy waste and occasional interference. The selection of the corresponding cluster can be used as a hybrid clustering model with quick search and finding the density peak cluster and Imperialist Competitive algorithm. In this article, these models will be used to reduce the distance to the cluster. Method takes into account the distance, energy, delay and load of IoT devices during the operation of selecting the cluster. The goal of this model is to reduce energy waste by reducing the distance between the nodes and the base station, which leads to maintaining energy and the life of the network. Analysis of the presence of live nodes, estimation of convergence and performance is normalized in terms of energy and the load of Internet of Things devices is determined. So our implementation analysis shows the superior performance of the proposed method.
pourbahrami, S., & emadi, M. (2024). The algorithm for selecting a cluster for the Internet of things based on the density peak cluster. Karafan Quarterly Scientific Journal, (), -. doi: 10.48301/kssa.2024.415637.2702
MLA
shahin pourbahrami; mona emadi. "The algorithm for selecting a cluster for the Internet of things based on the density peak cluster". Karafan Quarterly Scientific Journal, , , 2024, -. doi: 10.48301/kssa.2024.415637.2702
HARVARD
pourbahrami, S., emadi, M. (2024). 'The algorithm for selecting a cluster for the Internet of things based on the density peak cluster', Karafan Quarterly Scientific Journal, (), pp. -. doi: 10.48301/kssa.2024.415637.2702
VANCOUVER
pourbahrami, S., emadi, M. The algorithm for selecting a cluster for the Internet of things based on the density peak cluster. Karafan Quarterly Scientific Journal, 2024; (): -. doi: 10.48301/kssa.2024.415637.2702
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