scholarly journals Performance Evaluation of HARQ Schemes for the Internet of Things

Computers ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 48 ◽  
Author(s):  
Lorenzo Vangelista ◽  
Marco Centenaro

Hybrid Automatic Repeat reQuest (HARQ) techniques are widely employed in the most important wireless systems, e.g., the Long Term Evolution (LTE) cellular standard, to increase the reliability of the communication. Despite these schemes have been widely studied in literature in the past several years, the recent results obtained by Polyanskiy, Poor, and Verdú on the finite-blocklength regime disclosed new possibilities for the research on HARQ schemes. Indeed, new communications trends, which are usually part of the Internet of Things (IoT) paradigm, are characterized by very short packet sizes and a high reliability requirement and, therefore, they call for efficient HARQ techniques. In many scenarios, the energy efficiency of the communication plays a key role as well. In this paper, we aim at providing a comprehensive performance comparison of various kinds of HARQ schemes in the context of short-packet transmissions with energy constraints. We derive optimal power allocation strategies and we show that a minimum 50% energy saving can be achieved after very few transmission attempts if we enable packet combining at the receiver side.

2021 ◽  
Vol 39 (4) ◽  
pp. 1-33
Author(s):  
Fulvio Corno ◽  
Luigi De Russis ◽  
Alberto Monge Roffarello

In the Internet of Things era, users are willing to personalize the joint behavior of their connected entities, i.e., smart devices and online service, by means of trigger-action rules such as “IF the entrance Nest security camera detects a movement, THEN blink the Philips Hue lamp in the kitchen.” Unfortunately, the spread of new supported technologies makes the number of possible combinations between triggers and actions continuously growing, thus motivating the need of assisting users in discovering new rules and functionality, e.g., through recommendation techniques. To this end, we present , a semantic Conversational Search and Recommendation (CSR) system able to suggest pertinent IF-THEN rules that can be easily deployed in different contexts starting from an abstract user’s need. By exploiting a conversational agent, the user can communicate her current personalization intention by specifying a set of functionality at a high level, e.g., to decrease the temperature of a room when she left it. Stemming from this input, implements a semantic recommendation process that takes into account ( a ) the current user’s intention , ( b ) the connected entities owned by the user, and ( c ) the user’s long-term preferences revealed by her profile. If not satisfied with the suggestions, then the user can converse with the system to provide further feedback, i.e., a short-term preference , thus allowing to provide refined recommendations that better align with the original intention. We evaluate by running different offline experiments with simulated users and real-world data. First, we test the recommendation process in different configurations, and we show that recommendation accuracy and similarity with target items increase as the interaction between the algorithm and the user proceeds. Then, we compare with other similar baseline recommender systems. Results are promising and demonstrate the effectiveness of in recommending IF-THEN rules that satisfy the current personalization intention of the user.


2017 ◽  
Vol 55 (3) ◽  
pp. 124-131 ◽  
Author(s):  
Tiago P.C. De Andrade ◽  
Carlos A. Astudillo ◽  
Luiz R. Sekijima ◽  
Nelson L.S. Da Fonseca

Author(s):  
Mohammad Haasin Farooq ◽  
Muhammad Zain ◽  
Muhammad Bilal Khalid ◽  
Saima Zafar

The Internet of Things (IoT) has dominated the digital world by enabling thousands of physical devices to communicate with each other and share useful data over the Internet. With use cases spanning every sphere of modern life, the IoT is all set to revolutionize the traveling sector by extending services associated with safety, security, surveillance, tracking, comfort, and a lot more. This paper presents the design and implementation of a prototype Easy-Weigh-Out, based on the principles of the IoT which enables a user to run Android-based mobile application and view the weight of luggage and track its location without any contact with it. The hardware of the system is built around Arduino UNO microcontroller which interfaces with a load cell (20 kg) via A/D converter and a NEO-6M Global Positioning System (GPS) module for tracking of the bag. The system uploads data to a Cloud server using ESP8266 Wi-Fi module. Our results show the real-time weight and tracking of the bag at a click of a button as well as long-term data logging.


Author(s):  
Anuvidhya R

As devices, applications, and communication networks become more connected and integrated, computer attacks on the Internet of Things (IoT) become more sophisticated. When attacks on IoT networks cause long-term outages, it affects the availability of critical end-user programmers, increases the number of data breaches and fraud, raises prices, and reduces revenue. In this paper we present the RANFO (IDS), prepared to protect inherently linked Iot systems. The proposed entry-level system can successfully enter real-world entrance, according to our experimental results. We'll illustrate how RANFO can identify a variety of harmful assaults, including DOS, R2L, Probe, and U2L.


Subject 5G telecommunications in the United States and China. Significance The outcome of the contest between China and the United States for leadership in fifth-generation (5G) telecommunications technology will have long-term implications for each country's respective economy. It will affect the speed and way in which many new technologies, including autonomous vehicles and the Internet of Things (IoT), are implemented. Impacts Consumers in the United States will be the first to enjoy the higher speeds afforded by 5G. The roll-out will be faster in China of such transformative 5G technology as autonomous vehicles and the Internet of Things. China’s healthcare, manufacturing and automotive sectors will be among the beneficiaries.


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Partha Pratim Ray

Internet of Things based cloud is envisaged to extract values other than the specified purpose for which it is to be utilized. It is hereby apprehended that different genre of values, rather business values, could efficiently be assimilated from the Internet of Things cloud platforms. It is also investigated to identify numerous domains of applications that are currently being associated with the similar cloud platforms. A case study on various types of value generation methods has been performed. A novel Internet of Things cloud stack is proposed to disseminate and aggregate the business values. Few research challenges are observed that shall need appropriate indulgence to generate more business values out of Internet of Things based cloud. This paper also seeks few research and industry related problems that need to be resolved. It further recommends several key parameters to the enterprise and government policymakers that should immediately be dealt with for long-term success.


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