I. INTRODUCTION Recently, an increasing interest in deploying wireless sensor networks (WSNs) for real-life applications. OTSN is mainly used to track certain objects in a monitored area and to report their position to the application's users. Object tracking, which is also called target tracking, is a major field of research in WSNs and has many real-life applications such as wild life monitoring, security applications for buildings and compounds to avoid interference or trespassing, and international border monitoring for prohibited crossings. Additionally, object tracking is measured one of the most challenging applications in WSNs due to its application requirements, which place a heavy load on the network resources, mainly energy consumption. The main task of an object tracking sensor network (OTSN) is to track a moving object and to report its latest location in the monitored area to the application in an acceptable timely manner, and this dynamic process of sensing and reporting keeps the network's resources under heavy pressure. However, there has been a very limited focus on the energy lost by the computing components, which are referred to as microcontroller unit (MCU) and the sensing components OTSN is considered as one of the most energy-consuming applications of WSNs. Due to this fact, there is a necessity to develop energy-efficient techniques that adhere to the application requirements of an objecttracking system, which reduce the total energy consumption of the OTSN while maintaining a tolerable missing rate level
