IndexIntroductionMethodology and designResults Discussion on the resultsConclusion and future workInternet of Things (IoT) technology is becoming part of our life, we can find it in civil and military applications , smart cities, medical applications and tutoring greenhouses, etc. We build a new wireless sensor network (WSN) module with hypertechniques, then we plan to use electronic devices such as Zigbee Lora and RFID in one system to avoid the disadvantages of each individual device. Mostly we used Lora to cover long-distance areas. To manipulate the data from the sensors we suggest using Arduino Uno because they are compacted together, so the researcher is designing a small module to carry all the components as a smart node. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get Original Essay This research elastically focuses on the application of IoT in livestock located in Republic of Sudan, to study the model of Wireless Sensor Networks (WSN) for cow monitoring with three objectives prevent cows, monitor the cow health and control the dairy process. The proposed model aims to simplify real-time data transfer, so that the farmer or decision maker can easily manage his big data through the cloud system or mobile application. Keywords: Internet of Things, wireless sensor network, radio frequency identification, Zigbee. Introduction In our country, Sudan, we are working to transfer laboratory experiences of IoT technology to farms and cow ranches. The contribution of our paper is the design of a simple framework for livestock monitoring through animal identification (RFID) and tracking system in a demanding landscape, using IoT organizations with the latest wireless communication technology, the large growth of electronic devices such as smartphones help us to use the Internet of Things (IoT), here we have proposed a hypersystem used to connect different devices such as sensors to transfer packet data. All these devices can be equipped with radio frequency identification (RFID), in parallel with ZigBee and Loradevices, establish communication with each other and efficiently access as a remote system. We always think about meeting the need to implement health monitoring software and hardware that observe an animal's health condition and avoid animal disease epidemics. Several researchers have used wireless networks with mounted WSN devices to track individual animal activity and to monitor health conditions online. These experiments have been examined and addressed. Some laboratory tests and breeding attempts were carried out to evaluate the performance of the proposed WSN model and its protocol. Experiment results are revealed in useful information and graphs through free or paid mobile application software. However, it is necessary to integrate all available sensors and create a well-organized online monitoring system so that the health status of animals can be monitored in real time, on the other hand we also focus on protecting livestock from theft since we know the stock impact.This paper discusses the scope of different wearable technologies for animals, using advanced techniques to keep animals (cows) safe and healthy. The paper considers all recent developments in the field of WSNs and their applications for animal health. Inthis hypersystem, we describe and propose a comprehensive set of existence monitoring and an effective health monitoring system designed using IoT and RFID tags. The research results of this article show the excellent results against various medical dangers. Finally, in this study we find the simple control methods to collect real-time information so that sensors can send real-time data. leads to online monitoring of remote keys So (IoT) devices help to increase productivity and monitor the health of crops and livestock The predictive of our (IoT) model allows us to prevent theft of livestock and keep them healthy on farms, particularly in Sudan, South Sudan and Africa in general. The ultimate goal of our paper is to design a cost-effective network system that uses low-cost, low-power alternative sensor nodes to facilitate a real-time health monitoring application. To achieve this goal, firstly, we intend to design a hypernetwork composed of different types of technologies, and a good antenna should be designed to improve the performance of radio coverage in the entire agricultural field. Methodology and Design We seek to investigate sleep/wake up, which is considered a serious problem in wireless sensor networks (WSNs) due to the limited energy of the sensor node and their non-rechargeable battery. The explained algorithm is to maintain the sensor energy for a long time by the applied sleep/wake algorithm. This is achieved by keeping the sensor in sleep mode when not in use. This research article applied a self-adaptive sleep/wake algorithm. This method allows each node to automatically decide its operation mode (sleep, listen or transmit) in each operation in a decentralized process. Here we have proposed the hardware components of the WSN model as shown below. The main system consists of two subsystems: Data Acquisition which only uses to collect data from environmental data, secondly Data Analysis which uses as web software which analyzes the collected data for the end user to find it as useful information. Results and Results The scenario to find the results starts with downloading data from the surrounding environment sent via sensors that are located on the animal's body with different position of ear, neck and udder for dairy cattle. If the temperature value increases, compared to the threshold value, the system triggers the alarm to turn on, then the cow should be sent to the veterinary clinic, even in case the detection value is abnormal or missing in one of the cows, it is immediately transferred to the farmer to take necessary measures to save the animals and increase their production. With the help of connected RFID tags embedded in the sensors, it is very simple to track animals both inside and outside the area. The aim of this IoT solution is to overcome this big data by using low-cost and energy-efficient alternative sensor nodes that can provide real-time communication in a simple way. The use of WSNs has been proposed as a means to connect these sensor data sources without the need for direct human intervention. When we connect the sensors on the body of the cattle it will provide the body temperature, heartbeat and use this result (graphs), so that the doctor will be able to recognize the body cases of the cattle and also be able to find out which cattle are harming. The health status of the animal can be known from anywhere using the Internet/mobile applications. Discussion of the results Depending on the scenario of.