M2M Service Platforms: Survey, Issues, and Enabling Technologies
By Jaewoo Kim, Jaiyong Lee, Jaeho Kim, Jaeseok Yun. IEEE Communications Surveys and Tutorials, 2014
323 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/e346e9de84fd216dba3ca0a80036e8d078852bee
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Lalit Chettri
- Shree Krishna Sharma
- Abhishek Roy
- Luciano Leonel Mendes
- Hsiao-Hwa Chen
- Gerhard P. Fettweis
- Sasu Tarkoma
- Navrati Saxena
In Computer Vision and Pattern Recognition
- Lalit Chettri
- Shree Krishna Sharma
- Abhishek Roy
- Gerhard P. Fettweis
- Sasu Tarkoma
- Navrati Saxena
- Ivan Simoes Gaspar
- Xianbin Wang
In Control and Systems Engineering
Citations in the corpus
- Generalized Frequency Division Multiplexing for 5th Generation Cellular Networks (2014, background): “MTC and machine-to-machine (M2M) communication [9] require low power consumption, which makes the strict synchronization process required to keep the orthogonality between subcarriers unaffordable [2].”
- M2M Communications in 3GPP LTE/LTE-A Networks: Architectures, Service Requirements, Challenges, and Applications (2015, background): “To support M2M communications in LTE/LTE-A, the following solutions have been proposed for controlling PRACH overload [46], [47].”
- Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, background): “Major reviews of existing M2M research works include various commercial, hardware and research platforms [133] as well as major architectural enhancements, network functionalities and implementation challenges [134].”
- A gap analysis of Internet-of-Things platforms (2015, background): “support. By contrast, SaaS focuses on the mashup of data using cloud computing capabilities. We added an additional Machine-to-Machine (M2M) tag if the platform targets primarily this part of the IoT [6]. The type of architecture is shown in the Column c). While the independent deployments are usual”
- Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey (2016, unknown): “For example, at the traffic peak hours, the valuation of an M2M application in a vehicular network may be much higher than those of others, e.g., an M2M application to monitor environment.”
- Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2018, background): “Furthermore, the Transmission Control Protocol (TCP) employed at the transport layer of current LTE-A networks is not efficient for MTC traffic due to several issues associated with connection set up, congestion control, data buffering and real-time applications [52].”
- A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems (2020, methodology): “Some of the important LPWA technologies, which can be used in 5G IoT, are discussed below and summarized in Table III [7], [8], [15], [18], [66], [121].”