Sensing as a service model for smart cities supported by Internet of Things

By Charith Perera, Arkady B. Zaslavsky, Peter Christen, D. Georgakopoulos. Transactions on Emerging Telecommunications Technologies, 2013

982 citations recorded by the source corpus.

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 information and communication technologies 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 IoT. 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. Copyright © 2013 John Wiley & Sons, Ltd.

View Paper: https://www.semanticscholar.org/paper/fd464d76916f6de894056ff9a6de3bbe50fba348

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Citations in the corpus

Smart City and information technology: A review (2019, background): “4b): Zanella (Zanella et al., n.d.), Caragliu (Caragliu et al., 2011), Batty (Batty et al., 2012), Shapiro (Shapiro, 2006), Perera (Perera et al., 2014), that explores the concept of sensing as a service and its relation to the IoT; and Botta (Botta et al., 2016), that reviews the integration of…”
A literature survey on smart cities (2015, background): “Traditional urban sensing technologies directly or indirectly collect suﬃcient dynamic urban data while providing diﬀerent domain application services [70].”
The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey (2015, unknown): “Especially in sensing as a service model [14], something which provides an economical business model for the IoT, users should have the right and flexibility to choose and use cloud services either in a standalone fashion or as a composition of multiple services [151], [152] based on their own prior”
A Survey on Internet of Things From Industrial Market Perspective (2015, background): “, waste management solutions discussed in [8]) and in consumer based smart home and office deployments.”
Fog Computing for Sustainable Smart Cities (2017, methodology): “According to the literature comparison presented in Table III, context discovery and awareness [Perera et al. 2014a] and semantic annotation is fairly ignored.”
Smart tourism: foundations and developments (2015, background): “It has been identified as an important foundation for the services to be provided by smart tourism cities (Guo et al. 2014; Perera et al. 2014).”
C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems (2017, methodology): “A new model to describe the IoT is Sensing-as-a-service (SenAS) [8], where four conceptual layers are involved from the data provider to the consumption process.”
Federated Learning in Smart City Sensing: Challenges and Opportunities (2020, unknown): “Sensing as a service is also a vital role that contributes to a smart city [1,19,20].”
IoT Elements, Layered Architectures and Security Issues: A Comprehensive Survey (2018, background): “Retail centers [13] [14,15] [16] [17] The number of IoT devices are increasing each and every day.”
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges (2018, background): “In such cases, location-awareness [156], [170] and almost real-time response”
City Data Fusion: Sensor Data Fusion in the Internet of Things (2015, methodology): “Understanding the context of the city and its citizen can help develop and provide a new world of services based on what an individual user is doing, what the infrastructure [59] is doing, what nature is doing or all the above in various combinations [38].”