Cloud Computing for IoT Sensing Data

Abstract

The integration of sensor cloud technology has emerged as a revolutionary force across numerous sectors in the ever-evolving field of intelligent technologies. Born out of the confluence of cloud-based technologies with internet of things (IoT), sensor clouds provide a flexible and scalable framework for a variety of applications, including environmental monitoring, healthcare, and agriculture. This chapter aims to provide a thorough examination of sensor cloud technology, elucidating its potential, drawbacks, and many applications. It delves into the complexities of IoT sensor data and highlights the vital significance that effective processing methods play. In managing the complexity and variety inherent in IoT sensor data, it emphasises the value of techniques like data fusion, denoising, data aggregation, etc. The specifics of certain sensor cloud applications, including iDigi, Xively, Nimbits, ThingSpeak, and healthcare monitoring systems are then explored. The chapter ends by emphasizing how innovation and technological advancements are essential to overcoming these obstacles.