scholarly journals Enabling distributed intelligence for the Internet of Things with IOTA and mobile agents

Computing ◽  
2020 ◽  
Vol 102 (6) ◽  
pp. 1345-1363 ◽  
Author(s):  
Tariq Alsboui ◽  
Yongrui Qin ◽  
Richard Hill ◽  
Hussain Al-Aqrabi
Author(s):  
Laura Jarvenpaa ◽  
Markku Lintinen ◽  
Anna-Liisa Mattila ◽  
Tommi Mikkonen ◽  
Kari Systa ◽  
...  

2020 ◽  
Author(s):  
Tanweer Alam ◽  
Baha Rababah ◽  
Rasit Eskicioglu

Increasing the implication of growing data generated by the Internet of Things (IoT) brings the focus toward extracting knowledge from sensors’ raw data. In the current cloud computing architecture, all the IoT raw data is transmitted to the cloud for processing, storage, and control things. Nevertheless, the scenario of sending all raw data to the cloud is inefficient as it wastes the bandwidth and increases the network load. This problem can be solved by Providing IoT Gateway at the edge layer with the required intelligence to gain the Knowledge from raw data to decide to actuate or offload complicated tasks to the cloud. This collaboration between cloud and edge called distributed intelligence. This work highlights the distributed intelligence concept in IoT. It presents a deep investigation of distributed intelligence between cloud and edge layers under IoT architecture, with an emphasis on its vision, applications, and research challenges. This work aims to bring the attention of IoT specialists to distributed intelligence and its role to deduce current IoT challenges such as availability, mobility, energy efficiency, security, scalability, interoperability, and reliability.


Author(s):  
Baha Rababah ◽  
Tanweer Alam ◽  
Rasit Eskicioglu

Increasing the implication of growing data generated by the Internet of Things (IoT) brings the focus toward extracting knowledge from sensors’ raw data. In the current cloud computing architecture, all the IoT raw data is transmitted to the cloud for processing, storage, and control things. Nevertheless, the scenario of sending all raw data to the cloud is inefficient as it wastes the bandwidth and increases the network load. This problem can be solved by Providing IoT Gateway at the edge layer with the required intelligence to gain the Knowledge from raw data to decide to actuate or offload complicated tasks to the cloud. This collaboration between cloud and edge called distributed intelligence. This work highlights the distributed intelligence concept in IoT. It presents a deep investigation of distributed intelligence between cloud and edge layers under IoT architecture, with an emphasis on its vision, applications, and research challenges. This work aims to bring the attention of IoT specialists to distributed intelligence and its role to deduce current IoT challenges such as availability, mobility, energy efficiency, security, scalability, interoperability, and reliability.


Author(s):  
Teemu Leppänen ◽  
Jukka Riekki ◽  
Meirong Liu ◽  
Erkki Harjula ◽  
Timo Ojala

2015 ◽  
Vol 81 (4) ◽  
pp. 1415-1436 ◽  
Author(s):  
Floris Van den Abeele ◽  
Jeroen Hoebeke ◽  
Girum Ketema Teklemariam ◽  
Ingrid Moerman ◽  
Piet Demeester

Author(s):  
Alan Radley

An ontological analysis of the application of the key concept of synergy to the internet of things (IoT) is presented. The authors begin by defining synergy as it applies to all types of human-made objects, and in particular to connected things, along the way developing a new theory of synergetic accommodation that provides a detailed aetiology of smart technology. A presentation of the history, routes, plus a complete definition of smart technology is given before looking at how the IoT is developing today and might progress in the future for the benefit of all humankind. Accordingly, the authors develop two new concepts, situated and distributed intelligence, that may be used to develop practically useful smart technology that fully meets the needs of the future in terms of providing efficient, magnified, reliable, safe, automated, and economical services.


Author(s):  
Luigi Atzori ◽  
Antonio Lera ◽  
Giacomo Morabito

This paper addresses the Internet of Things. Main enabling factor of this promising paradigm is the integration of several technologies and communications solutions. Identification and tracking technologies, wired and wireless sensor and actuator networks, enhanced communication protocols (shared with the Next Generation Internet), and distributed intelligence for smart objects are just the most relevant. As one can easily imagine, any serious contribution to the advance of the Internet of Things must necessarily be the result of synergetic activities conducted in different fields of knowledge, such as telecommunications, informatics, electronics and social science. In such a complex scenario, this survey is directed to those who want to approach this complex discipline and contribute to its development. Different visions of this Internet of Things paradigm are reported and enabling technologies reviewed. What emerges is that still major issues shall be faced by the research community. The most relevant among them are addressed in details.


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