Sensing as a Service and Big Data

TL;DR

This paper explores the architecture, challenges, and data management techniques for IoT sensor networks, emphasizing their role in the big data paradigm and cloud-based processing.

Contribution

It provides a comprehensive overview of IoT sensing architectures, data management challenges, and federated sensor network techniques in the context of big data.

Findings

IoT sensor data poses significant challenges for traditional data management.

Federated sensor networks enable scalable and efficient data collection.

Cloud-based solutions are essential for storing and processing IoT data.

Abstract

Internet of Things (IoT) will comprise billions of devices that can sense, communicate, compute and potentially actuate. Data streams coming from these devices will challenge the traditional approaches to data management and contribute to the emerging paradigm of big data. This paper discusses emerging Internet of Things (IoT) architecture, large scale sensor network applications, federating sensor networks, sensor data and related context capturing techniques, challenges in cloud-based management, storing, archiving and processing of sensor data.