# Improved Performance on Wireless Sensors Network Using Multi-Channel Clustering Hierarchy
## 1 Introduction  
Wireless sensor network is a collection of wireless sensor devices (sensor nodes) which are generally used to record data about phenomena in an area [1]. Sensor nodes have limited computing and communication capabilities [2]. The general communication pattern in the wireless sensor network (WSN) is sending data from the scanning (sense) phenomena to the base station or a number of nodes that have been determined as data collectors [3]. The data collector or base station makes a request to the sensor node which contains a query about the phenomenon to be collected, the sampling interval, and the total sampling time [4]. There are several causes of poor performance on wireless sensor networks, including delay. It is one of the problems that can reduce performance of WSN and the high number of delays is very disturbing for data exchange transactions in WSN. Another cause of poor performance of WSN is data loss, which is loss of data during data exchange transactions in WSN due to heavy traffic on the WSN [5]. The high delay rate is due to the dense traffic on the protocol line on the WSN which will reduce the performance of the WSN. The high delay rate results in increased data loss/ data loss which can reduce the performance and quality of the WSN. Therefore, we need a method that can solve these problems to reduce delay and data loss [6]. This intelligent irrigation system cannot be separated from Wireless Sensor Network technology to be connected to one another [7]. With various types of sensors that can help the performance of the intelligent irrigation, the sensor can work by describing the system that has been built by applying a fuzzy logic algorithm to describe the temperature and humidity variables so that watering becomes more optimal [8]. The problem is that data collisions often occur [9]. Collision is a physical network segment where data packetscan collide with each other on a shared medium [10]. One humidity sensor and one temperature sensor are data that will be sent to the server; therefore, with many sensors it can cause a data collision. When the data has collided, the tool will not work optimally [11] even making the tool blank data and turns off instantly and the irrigation system will automatically die too [12]. Geographic routing (GR) or routing based on geographic position was introduced to overcome the limitations of topology-based routing protocols [13]. The geographic routing protocol relies on information on the physical location of nodes in the wireless sensor network (WSN) obtained from location services (e.g., Global Positioning System or GPS). By utilizing geographic position information, Geographic Routing (GR) does not need to perform routing table maintenance, and can even run without routing tables [14]. Several GR protocols have been introduced, which calculates all paths based on the Euclidean distance and sensor node to the sink node, then selects the appropriate path [15]. The latest protocols are generally. Several clustering protocols for WSN have been developed, and one that has a high success rate is the LEACH (Low-Energy Adaptive Clustering Hierarchy) algorithm. The LEACH algorithm divides the WSN into several clusters, each of which is a cluster head, and the cluster head forwards the data to the base station [16, 17]. The LEACH algorithm does not use geographic information as the basis for determining routes, forming clusters, or searching for neighbor nodes [18]. The advantages of LEACH in this case are using clustering techniques to increase throughput [19]. However, it is necessary to introduce some modifications to the clustering technique so that it can be implemented in the multi-channel clustering protocol [20]. The Wireless Sensor Network consists of many spatially distributed sensors [21, 22]. These sensors are used to monitor various environmental conditions such as temperature, humidity, weather, and so on [23]. Observational data are transformed into electronic signals [24].