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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Computer Science
Daesung Lee
Catholic University of Pusan
Computer Science & IT Electrical & Electronics Engineering

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K-means clustering-based WSN protocol for energy efficiency improvement Jong-Yong Lee; Daesung Lee
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i3.pp2371-2377

Abstract

Since it is very difficult to replace or recharge the batteries of the sensor nodes in the wireless sensor network (WSN), efficient use of the batteries of the sensor nodes is a very important issue. This has a deep relationship with the lifetime of the network. If the node's energy is exhausted, the node is no longer available. If a certain number of nodes (50% or 80%) in a network consumes energy completely, the whole network will not work. Therefore, various protocols have been proposed to maintain the network for a long time by minimizing energy consumption. In recent years, a protocol using a K-means clustering algorithm, one of machine learning techniques, has been proposed. A KCED protocol is proposed in consideration of residual energy of a node, a cluster center, and a distance to a base station in order to improve a problem of a protocol using K-average gung zipper algorithm such as cluster center consideration.
Improvement of cluster-based WSN protocol using fuzzy logic Jong-Yong Lee; Daesung Lee
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1540-1547

Abstract

A wireless sensor network is a collection of wireless nodes with sensor devices that can collect data from the real world. This is because sensor nodes usually use limited-powered batteries. Therefore, if the battery on the sensor node is exhausted, the node will no longer be available. If the battery on some nodes is discharged, the sensor network will not work properly. To maintain sensor network system, there are many wireless sensor network protocols to increase energy efficiency of nodes. One of the energy-efficient methods is cluster-based protocols. These protocols divide the sensor fields into clusters and send and receive data between nodes. Thus, depending on how the cluster is constructed, the network's lifetime may be reduced or increased. Cluster-based protocols cannot always be optimal cluster configurations. These problems have been improved using fuzzy logic. In general, fuzzy logic is used to elect cluster heads based on node residual energy, node concentration and node centrality. However, it is possible that nodes close to each other at a high density area are elected as cluster heads. In this paper, we propose a method to consider the number of adjacent cluster heads instead of Node Concentration to improve the problem.
Improvement of CH election in three-level heterogeneous WSN Jong-Yong Lee; Daesung Lee
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp272-278

Abstract

A Wireless Sensor Network is a wirelessly configured Sensor Node with limited power such as a battery. There are many Wireless Sensor Network Protocols to increase energy efficiency, among which LEACH Protocol and SEP are typical. The LEACH Protocol is mainly used for homogeneous sensor networks with the same initial energy, and SEP is used for heterogeneous sensor networks with different initial energies. In the case of SEP-E, another heterogeneous sensor with different initial energy is added. SEP and SEP-E provide a higher probability of Cluster Head election for node types with more energy than Normal Nodes. Since the current residual energy of the node is not confirmed, even if the energy is low, the Cluster Head may be elected because of the node type. In this paper, considering the residual energy of a node when a Cluster Head is elected, we increase the probability of electing a Cluster Head with more residual energy. Cluster Head consumes a lot of energy. A node with a lot of residual energy is elected as a Cluster Head, so the network lifetime can be used for a long time.
Co-Authors Jong-Yong Lee Jong-Yong Lee