scholarly journals The spectrum of control: A social theory of the smart city

Author(s):  
Jathan Sadowski ◽  
Frank Pasquale

There is a certain allure to the idea that cities allow a person to both feel at home and like a stranger in the same place. That one can know the streets and shops, avenues and alleys, while also going days without being recognized. But as elites fill cities with “smart” technologies — turning them into platforms for the “Internet of Things” (IoT): sensors and computation embedded within physical objects that then connect, communicate, and/or transmit information with or between each other through the Internet — there is little escape from a seamless web of surveillance and power. This paper will outline a social theory of the “smart city” by developing our Deleuzian concept of the “spectrum of control.” We present two illustrative examples: biometric surveillance as a form of monitoring, and automated policing as a particularly brutal and exacting form of manipulation. We conclude by offering normative guidelines for governance of the pervasive surveillance and control mechanisms that constitute an emerging critical infrastructure of the “smart city.”

2021 ◽  
pp. 2141007
Author(s):  
Mengyi Lian ◽  
Xiaowei Liu

Building information modeling (BIM) is one of the most exciting recent construction, engineering, and architecture developments. Built environments play a significant role in Smart City worldwide, and they are used to convey useful information to achieve smart city strategic goals. In modern project management, optimizing resources, BIM data integration, and data sharing in a smart city environment is challenging. Hence, in this paper, IoT-based Improved Building Information modeling (IoT-IBIM) has been proposed to overcome the challenges in building information modeling in modern project management for sustainable smart city applications. This paper discusses the efforts to create and integrate built-in environment data with IoT sensors for effective communication. The Internet of Things provides efficient resource control, increased efficiency, and improved human quality of life. As a result, the Internet of Things is a critical enabler of smart societies, including smart homes, smart cities, and smart factories. Building Information Modeling is an advanced asset allocation framework that generates high-quality output, reduces resource use, reduces environmental effects of development, and secures resources and availability for future generations. The experimental results show that the proposed IoT-IBIM method enhances the performance ratio and improves data integration and data sharing in a smart city environment.


Author(s):  
Makeri Yakubu Ajiji ◽  
Xi’an Jiaotong Victor Chang ◽  
Targio Hashem Ibrahim Abaker ◽  
Uzorka Afam ◽  
T Cirella Giuseppe

Today the world is becoming connected. The number of devices that are connected are increasing day by day. Many studies reveal that about 50 billion devices would be connected by 2020 indicating that Internet of things have a very big role to play in the future to come Considering the perplexing engineering of Smart City conditions, it ought not to be failed to remember that their establishment lies in correspondence advancements that permit availability and information move between the components in Smart City conditions. Remote interchanges with their capacities speak to Smart City empowering advancements that give the open door for their fast and effective execution and extension as well. The gigantic weight towards the proficient city the board has triggered various Smart City activities by both government and private area businesses to put resources into Information and Communication Technologies to discover feasible answers for the assorted chances and difficulties (e.g., waste the executives). A few specialists have endeavored to characterize a lot of shrewd urban areas and afterward recognize openings and difficulties in building brilliant urban communities. This short article likewise expresses the progressing movement of the Internet of Things and its relationship to keen urban communities. Advancement in ICT and data sharing innovation are the drivers of keen city degree and scale. This quick development is changing brilliant city development with the beginning of the Internet of Things (IoT). This transformation additionally speaks to difficulties in building (Kehua, Li, and Fu ,Su et al.1). By knowing the attributes of specific advances, the experts will have the occasion to create proficient, practical, and adaptable Smart City frameworks by actualizing the most reasonable one.


Author(s):  
Varsha Sharma ◽  
Vivek Sharma ◽  
Nishchol Mishra

Recently, Internet of Things (IoT) has aroused great interest among the educational, scientific research, and industrial communities. Researchers affirm that IoT environments will make people's daily life easier and will lead to superior services, great savings as well as a nifty use of resources. Consequently, IoT merchandise and services will grow exponentially in the upcoming years. The basic idea of IoT is to connect physical objects to the Internet and use that connection to provide some kind of useful remote monitoring or control of those objects. The chapter presents the overall IoT vision, the technologies for achieving it, IoT challenges and its applications. This chapter also attempts to describe and analyze threat types for privacy, security and trust in IoT as well as shows how big data is an important factor in IoT. This chapter will expose the readers and researchers who are interested in exploring and implementing the IoT and related technologies to the progress towards the bright future of the Internet of Things


Author(s):  
Kijpokin Kasemsap

This article determines the overview of the Internet of Things (IoT) and the multifaceted applications of the IoT. The IoT is made up of hardware and software technologies. The IoT describes a world in which everyday objects are connected to a network so that data can be shared. The IoT refers to the networking of physical objects through the use of embedded sensors, actuators, and other devices that can collect and transmit information about the objects. The data amassed from these devices can be analyzed to optimize products, services, and operations. For the IoT to flourish, interoperability must apply across all parts of the system, including the transmission networks and the data being transmitted. The IoT enables the multifaceted applications ranging from the micro to the macro, and from the trivial to the critical perspectives.


Author(s):  
Aminu Bello Usman ◽  
Jairo A. Gutierrez ◽  
Abdullahi Baffa Bichi

The internet of things (IoT) is expected to influence both architecture and infrastructure of current and future smart cities vision. Thus, the requirement and effectiveness of making cities smarter demands suitable provision of secure and efficient communication networks between IoT networking devices. Trust-based routing protocols play an important role in IoT for secure information exchange and communications between IoT networking elements. Thus, this chapter presents the foundation of trust-based protocols from social science to IoT for secure smart city environments. The chapter outlines and discusses the key ideas, notions, and theories that may help the reader to understand the current status and the possible future trends of trust-based protocols in IoT networks for smart cities. The chapter also discusses the implications, requirements, and future research challenges of trust-based protocols in IoT for smart cities.


Sensors ◽  
2020 ◽  
Vol 20 (1) ◽  
pp. 283
Author(s):  
Fawad Ali Khan ◽  
Rafidah Md Noor ◽  
Miss Laiha Mat Kiah ◽  
Ismail Ahmedy ◽  
Mohd Yamani ◽  
...  

Internet of Things (IoT) facilitates a wide range of applications through sensor-based connected devices that require bandwidth and other network resources. Enhancement of efficient utilization of a heterogeneous IoT network is an open optimization problem that is mostly suffered by network flooding. Redundant, unwanted, and flooded queries are major causes of inefficient utilization of resources. Several query control mechanisms in the literature claimed to cater to the issues related to bandwidth, cost, and Quality of Service (QoS). This research article presented a statistical performance evaluation of different query control mechanisms that addressed minimization of energy consumption, energy cost and network flooding. Specifically, it evaluated the performance measure of Query Control Mechanism (QCM) for QoS-enabled layered-based clustering for reactive flooding in the Internet of Things. By statistical means, this study inferred the significant achievement of the QCM algorithm that outperformed the prevailing algorithms, i.e., Divide-and-Conquer (DnC), Service Level Agreements (SLA), and Hybrid Energy-aware Clustering Protocol for IoT (Hy-IoT) for identification and elimination of redundant flooding queries. The inferential analysis for performance evaluation of algorithms was measured in terms of three scenarios, i.e., energy consumption, delays and throughput with different intervals of traffic, malicious mote and malicious mote with realistic condition. It is evident from the results that the QCM algorithm outperforms the existing algorithms and the statistical probability value “P” < 0.05 indicates the performance of QCM is significant at the 95% confidence interval. Hence, it could be inferred from findings that the performance of the QCM algorithm was substantial as compared to that of other algorithms.


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