Research Directions for the Internet of Things

By J. Stankovic. IEEE Internet of Things Journal, 2014

1,930 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/4f71708b58af718926d4cff1b3be4e6fda6f676f

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

A Survey of Deep Learning: Platforms, Applications and Emerging Research Trends (2018, background): “, network congestion and latency are only going to increase without a diverse array of complementary solutions [80], [82], [125], [127], [143], [147], [148], [161].”
A Survey on the Edge Computing for the Internet of Things (2018, background): “Smart systems necessarily interweave network communication technologies with sensors and actuators to realize system awareness and subsequent remote control, and can be seen as an extension of IoT technologies [2], [3].”
Residual Energy-Based Cluster-Head Selection in WSNs for IoT Application (2019, background): “algorithms for better performance of the IoT system [16].”
Recent Advances in Industrial Wireless Sensor Networks Toward Efficient Management in IoT (2015, background): “In order to foster the rapid deployment of IoT applications by overcoming the incompatible architecture across industry domains, the latest industrial research & development trend indicates a favor of building open and horizontal platform for future IoT [40], [41].”
A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems (2020, background): “In order to safeguard and provide massive connectivity, networks and architecture, which are deployed in IoT environment, should be optimized ensuring a large number of connected devices as possible [52].”
A Survey on LoRa Networking: Research Problems, Current Solutions, and Open Issues (2019, background): “THE INTERNET-OF-THINGS (IoT) applications [1], [2], like smart homes and smart cities, become more and more pervasive, which result in increasing density and scale of networked sensor deployments [3]–[5].”
Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey (2016, background): “The concept of IoT is broad, and there are a few definitions available [2], [14]–[16].”
Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, background): “According to [15], research areas for IoT are categorized as massive scaling, architecture and dependencies, creating knowledge and big data, robustness, openness, security, pri-”
Integrated Sensing and Communications: Recent Advances and Ten Open Challenges (2023, background): “There is a ﬂood of emerging applications as well, such as Internet of Things (IoT) networks [7], [8], [9], [10], [11], vehicle-to-everything (V2X) communications [12], [13], [14], [15], connected autonomous systems [16], autonomous driving [17], human activity sensing [18], as well as smart home…”
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management (2020, background): “As IoT-enabled ITS progress in both of physical and network (virtual) world, there is an increasing gap between the two worlds, which inspired an intense demand to combine the technology and solutions of the two worlds into on the smart new one [14].”
A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective (2018, background): “With the support of communication networks, machine devices can collect and exchange data amongst themselves to support numerous smart-world systems such as smart manufacturing, smart grid, and many others [3], [48], [49].”
A Survey on Big Data Market: Pricing, Trading and Protection (2018, background): “The data sources are diverse, especially as IoT is ever more involved in our daily lives, supporting numerous smart-world systems [1], [3], [20]–[22].”
Toward New-Generation Intelligent Manufacturing (2018, background): “Through intra-and inter-enterprise collaborations and the sharing and integration of all kinds of social resources, ‘‘Internet +” reshapes the value chain of the manufacturing industry and drives the transformation from digital manufacturing to digital-networked manufacturing [17,30–33].”
Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems (2021, neutral): “and enormous computation power [31], [32].”