The evolution of smart technologies and wireless sensor networks has made it possible to develop more effective and efficient solutions over traditional paradigms. These advances have had a tremendous impact on tracking moving objects in real time and improving decision-making and automation processes. Tracking livestock such as camels is crucial for avoiding traffic accidents and ensuring the safety of both people and animals. Although several techniques have been proposed for tracking moving objects, some limitations have been observed, such as adaptability, communication in wild areas, operational cost, and energy consumption. Therefore, this paper proposes a camel tracking device and an alert system to ensure safety for both humans and animals. The proposed livestock monitoring system can track camels in real time and dispatch alerts when they approach dangerous or prohibited areas determined by the proposed dynamic safety margin. Because camel sensing devices can experience low communication signal or completely disconnect from the communication network, we use LoRaWAN technology to extend network coverage and improve the reliability of connected devices. To conserve the power energy of the camel sensing devices, the proposed work uses a customized and weighted low energy adaptive clustering hierarchy protocol for the cluster head selection process. The proposed tracking device along with the proactive alerting system enable effective and efficient tracking of livestock in real-time.