Publication Info:
Journal Name: IET Wireless Sensor Systems
Publisher: IEEE
Srj = 0.5
Q1 journal
More information
Scope
The term “smart city” has recently re-emerged in the recent with a focus on data analytics facilitated through the Internet of Things technology. For many large corporations such as IBM, SAP, Intel, Cisco, and Siemens, just to name a few, the concept of a smart city is an opportunity to deliver an integrated technology platform to serve a vast area of technology needs ranging from data collection to identifying and presenting actionable insight. From a practical perspective there is need to customize and further advance technology to address needs in application specific domains such as transportation, traffic, and waste management. Heavy research and development investment has become available through different parties including government agencies, large-scale industrial entities and local city governments pertaining to smart cities. The estimated global smart cities market will be values at US$1.565 trillion in 2020. It is estimated that over 26 global cities will move towards the concept of smart cities by 2025. One of the major driving forces in the smart city paradigm is the notion of Internet of Things (IOT). IOT is often defined as an intertwined network of objects that act as independent or semi-independent operational agents that interact with their environment and each other. The Internet of Things pulls together research from different areas such as embedded systems, ubiquitous computing and large scale data analytics. Research in IOT and applications of IOT in the domain of smart cities has led to theories and methodologies to 1) collect data from the broader city environment and community and any phenomenon that is linked with them, and 2) analyze data using intelligent data analytics techniques to deliver knowledge and actionable insight; 3) deploy the right socio-technical solutions to fulfil the objective of smart cities, i.e., improve the quality of citizens’ life. This special issue focuses on the interplay between Smart Cities and IoT technology. In particular, this issue will solicit papers on theories, methodologies, techniques and tools that, in practice, can aid cities to provide better services, to efficiently manage resources and energy, to refine their strategies, to improve health services, to react to an outbreak, among other use cases. This special issue encourages the submission of high quality papers from multiple disciplines as well as inter-disciplinary research with a strong application element that gives evidence of the improvement of smart city scenarios using IoT technologies. This special issue also encourages submissions from work that use open data within cities and develop intelligent techniques based on open data. .
Topics of Interest
The topics of interest to the special issue include, but are not limited, to the following:
Case studies of applying the notion of Internet of Things in the domain of smart cities.
Predictive modeling based on data collected from different smart city domains, e.g., transportation prediction, parking prediction, energy consumption prediction.
Newly developed IoT middleware or applying existing IoT middleware in the domain of smart cities
Developing edge processing devices and techniques for managing data collection and distributed computing in smart cities & Developing streaming techniques for the domain of Internet of Things and smart cities
User modeling and smart cities, e.g., predicting users’ daily activities including recurring actions and usage of city services and proposing actions to improve user experience and energy saving.
Innovative network communication and IoT protocols suited for the domain of smart cities.
Social networks and smart cities, e.g., social trends and city related topics, predicting citizen impressions of different aspects of the cities, community input and feedback required area for city improvement.
Integrating and analyzing internal (proprietary) data with data collected from the city and developing new market opportunities for the city.
Datasets and Evaluation methodologies for predictive modeling in the smart city domain