Azzeddine Oudjehane, SAIT Polytechnic, Canada

The Internet of Things (IoT) is an innovative concept that signifies a new wave of connectivity, wherein various devices and objects communicate and share data via the internet. This seamless integration heavily relies on advanced sensor technology, which enables devices to perceive and interact with their environment effectively. A crucial component of the IoT is the wireless sensor network (WSN). This network consists of numerous micro sensors strategically deployed in a designated monitoring area. These sensors gather and transmit data wirelessly, forming a robust interconnected system that enhances data collection and management. The primary function of a wireless sensor network is data acquisition and perception, which is often implemented through information fusion technology. Information fusion involves the integration of data from multiple sensors to produce more accurate and comprehensive information than could be obtained from individual sensors alone. This process enhances the reliability and richness of the data, allowing for more informed decision-making. In this article, we will explore the existing technologies related to information fusion, highlighting the various methods employed in the process. We will also address the challenges associated with these technologies, such as data redundancy, sensor calibration, and network scalability. Furthermore, the article will propose potential solutions to these challenges, aiming to improve the effectiveness and efficiency of information fusion in the context of wireless sensor networks.

APA:
Branga, A. (2023). The Imperative Study of Information Fusion Technology in Wireless Sensor Networks. Journal of Science and Engineering Management, 3(1), 33-34. https://doi.org/10.33832/jsem.2022.3.1.04