Middleware for Internet of Things: A Survey

By Mohammad Abdur Razzaque, Marija Milojevic-Jevric, Andrei Palade, Siobhán Clarke. IEEE Internet of Things Journal, 2016

434 citations recorded by the source corpus.

The Internet of Things (IoT) envisages a future in which digital and physical things or objects (e.g., smartphones, TVs, cars) can be connected by means of suitable information and communication technologies, to enable a range of applications and services. The IoT's characteristics, including an ultra-large-scale network of things, device and network level heterogeneity, and large numbers of events generated spontaneously by these things, will make development of the diverse applications and services a very challenging task. In general, middleware can ease a development process by integrating heterogeneous computing and communications devices, and supporting interoperability within the diverse applications and services. Recently, there have been a number of proposals for IoT middleware. These proposals mostly addressed wireless sensor networks (WSNs), a key component of IoT, but do not consider RF identification (RFID), machine-to-machine (M2M) communications, and supervisory control and data acquisition (SCADA), other three core elements in the IoT vision. In this paper, we outline a set of requirements for IoT middleware, and present a comprehensive review of the existing middleware solutions against those requirements. In addition, open research issues, challenges, and future research directions are highlighted.

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

View Paper: https://www.semanticscholar.org/paper/bf22077d0647dc28e955cd94256deb7cd600de29

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Citations in the corpus

A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures (2019, neutral): “Then, the attackers can obtain private data of any user and can even alter records in the database [32].”
A Survey of Communication Protocols for Internet of Things and Related Challenges of Fog and Cloud Computing Integration (2018, positive): “r, the types of wireless connectivity that can be used, or security and privacy solutions, just to name a few. While there have been several surveys covering different aspects of the IoT architecture [6, 41, 49, 50, 72, 92, 104], the specific issues of communication protocols in the application laye”
Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies (2021, neutral): “2) LoRaWan: Low Power Wide Area Networks is a longrange communication protocol developed by LoRaTM [82].”
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, positive): “In the network layer, there are local clouds and servers that store and process the information which works as a middle-ware between the network and the next layer [24]-[26].”
Internet of Things: Architectures, Protocols, and Applications (2017, neutral): “The challenges, which are addressed by any IoT middleware, are as follows: [20, 71, 72].”
Smart logistics based on the internet of things technology: an overview (2020, neutral): “Razzaque et al. (2016) believe that the heterogeneity of devices and networks will make the development of various applications and services of IoT a challenging task.”
Anomaly Detection for IoT Time-Series Data: A Survey (2020, neutral): “…as it is not important to act quickly upon the knowledge gathered from the data, however, when looking toward automation of connected resources it may be a requirement for the data to be processed quickly and therefore reports be generated as soon as possible after the data are generated [46].”
IoT Middleware: A Survey on Issues and Enabling Technologies (2017, neutral): “Several surveys on IoT middleware have been published such as [12]–[15].”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, neutral): “application and the system software [45], [48], [50].”
A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues (2017, neutral): “As there exist numerous surveys regarding the IoT system architectures and their enabling technologies [17]–[20], much focus”