Sensing as a Service Model for Smart Cities Supported by Internet of Things

TL;DR

This paper explores the sensing as a service model within IoT for smart cities, focusing on its technological, economic, and social aspects, and discusses open challenges in implementing such systems.

Contribution

It introduces the sensing as a service concept for IoT-enabled smart cities and analyzes its implications across multiple perspectives.

Findings

Identifies key open challenges in sensing as a service implementation.

Highlights the potential benefits for resource management in smart cities.

Discusses the integration of cloud technologies with IoT sensors.

Abstract

The world population is growing at a rapid pace. Towns and cities are accommodating half of the world's population thereby creating tremendous pressure on every aspect of urban living. Cities are known to have large concentration of resources and facilities. Such environments attract people from rural areas. However, unprecedented attraction has now become an overwhelming issue for city governance and politics. The enormous pressure towards efficient city management has triggered various Smart City initiatives by both government and private sector businesses to invest in ICT to find sustainable solutions to the growing issues. The Internet of Things (IoT) has also gained significant attention over the past decade. IoT envisions to connect billions of sensors to the Internet and expects to use them for efficient and effective resource management in Smart Cities. Today infrastructure, platforms, and software applications are offered as services using cloud technologies. In this paper, we explore the concept of sensing as a service and how it fits with the Internet of Things. Our objective is to investigate the concept of sensing as a service model in technological, economical, and social perspectives and identify the major open challenges and issues.