# Improved Performance on Wireless Sensors Network Using Multi-Channel Clustering Hierarchy
## 1 Introduction
A sensor is equipped with a radio transceiver, microcontroller, and energy source [25]. In general, the sensors used are small and cheap. The multi-channel in this study only formed 2 channels with cluster head selection. Two channels can parse the traffic density that exists on the WSN protocol path; the problem in this study is the distance between the cluster head and cluster members which are still random and far apart. Subsequently, transactions between nodes require enormous energy [26, 27]. However, in this study, the cluster head and cluster members are very far apart, which makes transactions between nodes ineffective. This study discusses the formation of channels in WSN to improve performance by forming two channels with the MAC algorithm by designing the cluster head as a reference channel to be used. The formation of this multi-channel can improve performance of WSN because it can overcome WSN problems such as delay and data loss [28]. The formation of multi-channel in this study using a scheduling system which is close to the base station will be used as a cluster head. However, the distance between the cluster head and the cluster members is considerable and random, which results in transactions between data not being maximized [29]. From several literature reviews in theory, this method can improve performance of WSN. However, various models of throughput increase are not so significant because they still have several shortcomings such as the formation of nodes that are far apart from each other, specifically for the multi-channel model, because this has only been done to design two channels. This research combines the LEACH, Euclidean and HAC single linkage approaches in order to be able to group nodes on the WSN so that these nodes can be positioned close between cluster heads and cluster members. The performance improvement method in previous studies has not been able to design nodes between the cluster head and cluster members close to each other. Formation of nodes between the cluster head and cluster members are far from each other, which causes transactions between nodes to require a lot of energy and a very high rate of delay [8]. In this study, the cluster head and cluster members are positioned close together so that transactions between nodes do not require a lot of energy. The performance of small sensors is usually not as good as that of large expensive sensors, but with their small size and low price, the observed area becomes wider because the number of sensors installed can be very large [30]. Sensors on the WSN network send data to the base station but can also communicate with each other [31]. Nodes in WSN have limited energy, and it is often impossible to recharge the battery [32]. As with computer networks in general, WSN can also be implemented in several topologies, namely:  
* Point-to-point Topology,
* Star Topology,
* Mesh Topology,
* Hybrid Technology,
* Tree Topology. Point-to-point network topology is the simplest form of network topology [33]. In this topology, the two end devices are directly connected to each other. This point-to-point topology physically connects the two nodes directly via cable or other media. Point-to-point topology is used to determine the structure of different telecommunication networks. Point-to-point logical topology defines the way in which data will actually flow in the network. As for the point-to-point physical topology, it defines the way in which nodes are placed in the network [34]. Star topology is a method or way to connect two or more computers with a star-shaped network, where the network topology comprises of convergence from the middle node to each node/user so that all nodes or points are connected to the middle node. The star topology has a working principle with a centralized control, or control where all links go through the center and then data is routed to all nodes or certain nodes.