scholarly journals ETM-IoT: Energy-Aware Threshold Model for Heterogeneous Communication in the Internet of Things

2022 ◽  
Vol 70 (1) ◽  
pp. 1815-1827
Author(s):  
A. Vijaya Krishna ◽  
A. Anny Leema
2020 ◽  
Author(s):  
Arezoo Khatibi ◽  
Omid Khatibi

Abstract We will offer a method to improve energy efficient consumption for processing queries on the Internet of Things. We focused on an energy efficient hierarchical clustering index tree such that we can facilitate time-correlated region queries in the I.o.T (Internet of Things). We try to improve clustering and make a change on its proposed index tree. We try to do this by optimizing the query processing. We improve clustering to increase the accuracy of the Internet of Things and prevent the network from disconnecting. In the article that we have chosen, there is a heterogeneous cluster which means there exists a large data difference in the two ends of a cluster. Also, it often happens that the same information is sent to the base station by two overlapping clusters; therefore, we save energy by eliminating duplicated data.


2021 ◽  
Author(s):  
Mohamed Mohammedi ◽  
Mawloud Omar ◽  
Djamila Zamouche ◽  
Kahina Louiba ◽  
Saliha Ouared ◽  
...  

2009 ◽  
Vol 26 (5) ◽  
pp. 357 ◽  
Author(s):  
Fadi Hamad ◽  
Leonid Smalov ◽  
Anne James

Author(s):  
Tae-Ho Cho

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.


2020 ◽  
Author(s):  
Egberto Armando Rabello De Oliveira ◽  
Flávia Coimbra Delicato ◽  
Marta Lima de Queirós Mattoso

The Internet of things (IoT) has recently transformed the internet, enabling the communication between every kind of objects (things). The growing number of sensors and smart devices enhanced data creation and collection capabilities and led to an explosion of generated data in the form of Data Streams. Processing these data streams is complex and presents challenges and opportunities in the stream processing field. Due to the inherent lacking of accuracy and completeness of sensor generated data, the quality of raw data is often poor. Data cleaning tasks are required to help increasing the quality of the data being processed in an IoT application. This work proposes a data stream processing workflow for IoT to be deployed at the edge of the network. It performs a fast data cleaning with low power consumption from edge and sensor nodes. The edge computing paradigm is used to bring the data cleaning task closer to the data sources and allow actions to be triggered immediately. In addition, an energy-aware data collection component is designed to reduce the network traffic and, as a consequence, decrease the power consumption of the network devices. The proposed workflow enables the deployment of long running real-time processing systems on remote outdoor environments.


Sign in / Sign up

Export Citation Format

Share Document