Internet of Things Architecture: Recent Advances, Taxonomy, Requirements, and Open Challenges

Yaqoob, Ibrar; Ahmed, Ejaz; Hashem, Mohamed; Ahmed, Abdelmuttlib Ibrahim Abdalla; Gani, Abdullah; Imran, Muhammad; Guizani, Mohsen

doi:10.1109/mwc.2017.1600421

Cited by 544 publications

(260 citation statements)

References 15 publications

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“…In this way, wastage of both battery and bandwidth could take place. 10 In this paper, we assume that the process of data aggregation is performed by a cluster head sensor node. Data fusion is the process of integrating the information and observations from the multiple sensor nodes and provides an effective information into one copy, which is able to meet user needs in middle sensor nodes.…”

Section: Of 14mentioning

confidence: 99%

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A multisensor data fusion strategy for path selection in Internet‐of‐Things oriented wireless sensor network (WSN)

Kumar

Chaurasiya

2018

Concurrency and Computation

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To give the complete description of an environment or to take a robust decision, a number of observations are collected and combined from multiple sensor nodes. The process of combining and analyzing the observations is called multisensor data fusion. The fusion is used to produce more consistent, accurate, and useful information rather than provided by any individual sensor node. Data fusion finds wide application in many areas of such as object recognition, wireless sensor network, image processing, environment mapping, and localization. Nowadays, the Internet of Things (IoT) utilizes wireless sensor network (WSN) as a necessary platform for data sensing and communication. For efficiency, data fusion is performed on the sensed sample collected by the sensor nodes. However, fusion of the network parameters is also essential to select an appropriate sensor node for the forwarding of data. Therefore, in this paper, we propose a multisensor data fusion (MDF) strategy that performs fusion of the collected network parameters like bandwidth and centrality for the selection of an appropriate path. Extensive simulations were made, and related results showed that our proposed scheme has a better performance compared with other schemes in our simulated scenarios. KEYWORDS data fusion, Internet-of-Things, performance analysis, wireless sensor network INTRODUCTIONA wireless sensor network (WSN) is a type of network that contains large number of nodes having sensing capability such that they can easily detect any changes in the surrounding real-world environment. The nodes in WSN are used to carry sensed information from one to another desired location for further processing. 1,2 Technological advances are being developed daily, and a WSN plays a rapid contribution for providing smart communication with the use of smart devices. These smart devices perform communication at the different locations by providing a level of transparency among users and maintained an interconnected smart network. A number of sensor nodes are constituted by the smart network, which is used to send sensed information and termed as the Internet of Things (IoT). 3 In this paper, we called this network as an IoT oriented WSN. In this network, the users communicate with each other by exchanging of sensed data, monitoring of events, and surrounding and reacting autonomously. 4 The difference between the WSN and IoT oriented WSN is only the few sensors are deployed in WSN rather than along with smart devices for applications.However, the IoT oriented WSN consists of devices having sensors with full network connectivity. The network of IoT oriented WSN is concerned with the loss of packets and performance of the links for achieving high throughput in less delay.The services of IoT oriented WSN are provided by using a standard interface such that users can create a query, retrieve information, and change their states accordingly. An Internet link is used to provide the standard interface between users and IoT devices. The hardware components of a sensor no...

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Section: Of 14mentioning

confidence: 99%

“…In each iteration, the velocity along each dimension is adjusted according to Equation (9), and a new position of the node is determined using that velocity as shown by Equation (10).…”

Section: Quantum-behaved Particle Swarm Optimizationmentioning

confidence: 99%

A multisensor data fusion strategy for path selection in Internet‐of‐Things oriented wireless sensor network (WSN)

Kumar

Chaurasiya

2018

Concurrency and Computation

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“…In the work of Slimeni et al, a Q‐learning algorithm is proposed for learning the behavior of jamming attacks. The nodes participation in the learning process places a high demand for power on the CRIoT nodes …”

Section: Related Workmentioning

confidence: 99%

Batch‐based security‐aware spectrum sharing with simultaneous assignment decisions in time‐critical IoT networks with cognitive radio capabilities

Almajali

Ayyash

Elgala

2018

Trans Emerging Tel Tech

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Cognitive radio (CR) is considered as a key enabling communication technology that offers efficient wireless connectivity to Internet of Things (IoT) devices. Its integration with the future 5G architecture is expected to advance the IoT paradigm. Security attacks can severely degrade the performance of such CR‐based IoT (CRIoT) networks. The effect of security attacks can be reduced by implementing defensive approaches. However, such solutions come at the expense of degrading spectrum efficiency and consuming more network resources. In this paper, we investigate the spectrum sharing and access problem in a multidevice single‐transceiver CRIoT network with time‐critical applications under jamming attacks. Our main goal is to maximize the number of simultaneously served IoT devices over all available idle channels while ensuring delay requirement, hardware, link quality, security attacks, and spectrum utilization constraints. This problem is formulated as a total unimodular binary linear programming, which is shown to be solvable in polynomial time. Unlike most of previous security‐aware channel assignment solutions that conduct the channel assignment sequentially, our solution simultaneously provides secured distributed channel‐assignment decisions for multiple CRIoT links (batching method). Batching can be realized through an admission control stage for CR IoT devices to announce their control packets. Simulation results reveal that our solution significantly improves network performance compared to previous security‐aware schemes.

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“…In the SVC4WSN, the Service Oriented Architecture (SOA) has the following three functions [5]. First is the distributed service registration and discovery function of the WSN.…”

Section: Architecture Designmentioning

confidence: 99%

A Novel Wireless Sensor Network Architecture Based on Cloud Computing and Big Data

Song¹

2017

Int. J. Onl. Eng.

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Abstract-To explore big data processing and its application in wireless sensor network (WSN), this paper studies structural construction of the WSN based on big data processing, and numerically simulates SVC4WSN and MDF4LWSN architectures. Moreover, the relationship between the optimal network layer and node communication radius was verified at different node densities. The results indicate that the proposed model achieved better lifecycle and loading balancing effect than the other network.

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Internet of Things Architecture: Recent Advances, Taxonomy, Requirements, and Open Challenges

Cited by 544 publications

References 15 publications

A multisensor data fusion strategy for path selection in Internet‐of‐Things oriented wireless sensor network (WSN)

A multisensor data fusion strategy for path selection in Internet‐of‐Things oriented wireless sensor network (WSN)

Batch‐based security‐aware spectrum sharing with simultaneous assignment decisions in time‐critical IoT networks with cognitive radio capabilities

A Novel Wireless Sensor Network Architecture Based on Cloud Computing and Big Data

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