Intelligent multi-platform middleware for wireless sensor and actuator networks

Abstract

Wireless Sensor and Actuator Networks (WSAN), composed by small sensing nodes for acquisition, collection and analysis of data, are often employed for communication between Internet objects. However the WSAN have some problems such as sensors’ energetic consumption and CPU load. The massive storage capacity, large processing speeds and the rapid elasticity makes Cloud Computing a very good solution to these problems. To efficiently manage devices’ resources, and achieve efficient communication with various platforms (cloud, mobile), this paper proposes a middleware that allows flows of AI applications’ execution to be transferred between a device and the cloud.