Heterogeneous Sensor Networks: Challenges and Future Research Directions

Abstract

Heterogeneous sensor networks refer to a type of network that is composed of different types of sensors that are capable of gathering and transmitting various types of data. These networks are used in a wide range of applications, including environmental monitoring, healthcare, and industrial automation. The sensors in heterogeneous networks can vary in terms of the type of data they collect, their power requirements, their communication protocols, and their processing capabilities. The challenge in designing heterogeneous sensor networks is to ensure that the sensors can work together efficiently despite their differences. This requires the development of protocols and algorithms that can manage the data flow, ensure data quality, and optimize energy consumption. In this way, heterogeneous sensor networks can provide valuable insights into complex systems and enable real-time decision-making.