Smart community: an internet of things application

By Xu Li, Rongxing Lu, Xiaohui Liang, Xuemin Shen, Jiming Chen, Xiaodong Lin. IEEE Communications Magazine, 2011

564 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/d86166459090c8db93109eb0992623dca8527679

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

In Control and Systems Engineering

Citations in the corpus

Cognitive Machine-to-Machine Communications for Internet-of-Things: A Protocol Stack Perspective (2015, background): “Performance evaluation demonstrates that the proposed protocols not only ensure protection to the primary users (PUs) but also fulfil the utility requirements of the secondary M2M networks.”
Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions (2017, background): “IoT technology also provides its services to NANs, linking a group of smart homes in a neighborhood through a NAN to form a smart community [122].”
A Survey of IoT Applications in Blockchain Systems (2020, background): “While many IoT applications were initially designed for specialized use, most relevant technologies have been migrated and adapted for public use [Li et al. 2011a].”
The internet of things in healthcare: An overview (2016, background): “In this way, the utilization of rehabilitation resources can be maximized [5,6] , and it can be anticipated that the IoT-based intelligent technology would become an irreplaceable tool in modern healthcare systems.”
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, background): “The Internet of Things (IoT) interlink electrical devices with a server and exchanges information without any human intervention [1] -[3].”
Trust-Based Service Management for Social Internet of Things Systems (2016, methodology): “With our adaptive trust management protocol, a social IoT application can adaptively choose the best trust parameter settings in response to changing IoT social conditions such that not only trust assessment is accurate but also the application performance is maximized.”
Sybil Attacks and Their Defenses in the Internet of Things (2014, background): “Furthermore, by integrating the sensing, communication, and computation capabilities [8], [9], IoT can offer diverse intelligent services [10] to form smart home [11], smart grid [12]–[14], smart community [15], and smart city [16], [17], as shown in Fig.”
Internet of Things (IoT): A vision, architectural elements, and future directions (2012, background): “One of the major IoT application areas which is already drawing attention is Smart Environment IoT [22,29].”
Heterogeneous Information Fusion and Visualization for a Large-Scale Intelligent Video Surveillance System (2017, background): “Safety and security surveillance, which targets crime prevention and forensic analyses, is one of the most critical applications of video analytics and intelligence, especially for smart communities [1].”
Machine Learning Based Intrusion Detection Systems for IoT Applications (2019, background): “Moreover, DoS also aﬀects the services of small networks, i.e., smart home, healthcare and smart agriculture etc [43].”
The Internet of Things—A survey of topics and trends (2014, background): “Homes and buildings are being equipped with sensors and actuators that track utility consumption, monitor and control building infrastructure such as lights and HVAC systems, and conduct surveillance to meet security needs (Darianian and Michael 2008; Li et al. 2011).”
Internet of Things (IoT), Applications and Challenges: A Comprehensive Review (2020, unknown): “1 3 Table 26 Comparative analysis for various aspects, and application domains for the research article Reference Citation Application Area P1 P2 P3 P4 P5 P6 P7 [43] 1 ↓ H LZ PE RT A A [44] 1 ↑ M MZ D SB A A [45] 1 ↓ M HZ PE RT A A [46] 1 ↑ L LZ PE RT A A [47] 1 ⟷ L MZ D SB A A [48] 1 ↑ M LZ D SB A ”
Differential Privacy Techniques for Cyber Physical Systems: A Survey (2018, background): “to form a communication known as smart community [202].”
Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios (2020, background): “This concept has already been introduced by Tweetbot [49].”
Security and Privacy in Smart City Applications: Challenges and Solutions (2017, unknown): “3) Processing Unit: The processing unit exploits the powerful cloud computing servers, abundant database and dedicated control systems to analyze and process the collected sensing information from the physical world for decision making.”
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things (2020, background): “, smart homes [5], [6], smart transportation [7], [8], smart grids [9], and smart healthcare [10], [11].”
IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security? (2018, background): “The IoT facilitates integration between the physical world and computer communication networks, and applications (apps) such as infrastructure management and environmental monitoring make privacy and security techniques critical for future IoT systems [1]–[3].”
A Health-IoT Platform Based on the Integration of Intelligent Packaging, Unobtrusive Bio-Sensor, and Intelligent Medicine Box (2014, background): “In-home healthcare and services can drastically reduce the total expenditure on medical care or treatment.”