scholarly journals Scalable and Self-Adaptive Service Selection Method for the Internet of Things

2017 ◽  
Vol 167 (10) ◽  
pp. 43-49 ◽  
Author(s):  
Manel Mejri ◽  
Nadia Ben
Keyword(s):  
Internet Of Things ◽  
Service Selection ◽  
Selection Method ◽  
The Internet ◽  
The Internet Of Things ◽  
Self Adaptive

scholarly journals What Is the Fastest Way to Connect Stations to a Wi-Fi HaLow Network?

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2744 ◽  
Author(s):  
Dmitry Bankov ◽  
Evgeny Khorov ◽  
Andrey Lyakhov ◽  
Ekaterina Stepanova ◽  
Le Tian ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Optimal Algorithm ◽  
Access Point ◽  
The Internet ◽  
Shared Channel ◽  
Set Up ◽  
The Internet Of Things ◽  
Self Adaptive

Wi-Fi HaLow is an adaptation of the widespread Wi-Fi technology for the Internet of Things scenarios. Such scenarios often involve numerous wireless stations connected to a shared channel, and contention for the channel significantly affects the performance in such networks. Wi-Fi HaLow contains numerous solutions aimed at handling the contention between stations, two of which, namely, the Centralized Authentication Control (CAC) and the Distributed Authentication Control (DAC), address the contention reduction during the link set-up process. The link set-up process is special because the access point knows nothing of the connecting stations and its means of control of these stations are very limited. While DAC is self-adaptive, CAC does require an algorithm to dynamically control its parameters. Being just a framework, the Wi-Fi HaLow standard neither specifies such an algorithm nor recommends which protocol, CAC or DAC, is more suitable in a given situation. In this paper, we solve both issues by developing a novel robust close-to-optimal algorithm for CAC and compare CAC and DAC in a vast set of experiments.

scholarly journals A Hybrid Service Selection and Composition Model for Cloud-Edge Computing in the Internet of Things

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 85939-85949 ◽  
Author(s):  
Mehdi Hosseinzadeh ◽  
Quan Thanh Tho ◽  
Saqib Ali ◽  
Amir Masoud Rahmani ◽  
Alireza Souri ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Service Selection ◽  
Edge Computing ◽  
The Internet ◽  
The Internet Of Things

scholarly journals An Overview of Design Patterns for Self-Adaptive Systems in the Context of the Internet of Things

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 187384-187399
Author(s):  
Christian Krupitzer ◽  
Timur Temizer ◽  
Thomas Prantl ◽  
Claudia Raibulet
Keyword(s):  
Internet Of Things ◽  
Design Patterns ◽  
Adaptive Systems ◽  
The Internet ◽  
The Internet Of Things ◽  
Self Adaptive

scholarly journals ENERGY AWARE SECURITY ALGORITHM DECISION METHOD FOR INTERNET OF THINGS USING SSL/TLS FOR WIRELESS NETWORK

2015 ◽  
Vol 3 (12) ◽  
pp. 1-8
Author(s):  
Tae-Ho Cho
Keyword(s):  
Internet Of Things ◽  
Service Selection ◽  
Transport Layer ◽  
The Internet ◽  
Energy Aware ◽  
Transport Layer Security ◽  
Security Service ◽  
Security Algorithm ◽  
Physical Objects ◽  
The Internet Of Things

The Internet of Things (IoT) is an ever evolving infrastructure of physical objects and Internet-enabled devices and systems featuring IP addresses for connectivity. Physical objects consist of home appliances, electronic gadgets, machinery, healthcare items, wearable devices and anything that could be connected to the Internet. Each type of connection requires particular types of security service. Security algorithms in user devices are fixed by default and selected based on preferences. This limitation causes energy waste since a user might be using all services in an algorithm, even those the user does not need. In order to counter this problem, we propose an energy aware security service selection method that saves energy by selecting only particular types of security service required by a given connection. In this paper, we compared the energy consumption of each communication to provide integrity, authentication, and confidentiality in Secure Sockets Layer/Transport Layer Security (SSL/TLS) with our proposed method. The experimental results demonstrate the validity of our proposed method. Our proposed method saved 54.94% energy for integrity and 74.52% for authentication.

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