EAI Endorsed Transactions on Internet of Things 2023-01-25T14:10:05+00:00 EAI Publications Department Open Journal Systems <p>EAI Endorsed Transactions on Internet of Things is open access, a peer-reviewed scholarly journal focused on all areas related to the technologies and application fields related to the Internet of Things. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications on a quarterly frequency. Authors are not charged for article submission and processing.</p> DDS-XRCE Standard Performance Evaluation of Different Communication Scenarios in IoT Technologies 2022-11-23T13:13:23+00:00 Sevval Solpan Kerem Kucuk <p class="ICST-abstracttext"><span lang="EN-GB" style="font-family: 'Times New Roman;serif',serif;">Although the increasing number of technological products brings many solutions for Internet of Things (IoT) applications, it also causes some drawbacks, such as whether the product in question would run accordingly to a system structured to enable high-performance like Data Distribution Service (DDS). Therefore, the capabilities of the products must be defined to say that they are compatible enough. This paper aims to evaluate the performance of the DDS-XRCE standard while observing its working mechanism. As test scenarios, we benefit from three DDS-XRCE deployments that occurred due to the kind of receiver and sender, the path that packets follow, and the protocols used. Test conditions were set by switching stream modes, transport profiles, and limiting packet deliveries. We obtained the test environment by creating the DDS and DDS-XRCE objects using several eProsima implementations and tools for the standards. We monitored the network messages in two ways: 1) Using multiple Gnome Terminator terminals for observation via the human eye during testing. 2) Using Wireshark to save the information of the packets for further examination. We conducted 36 experiments focusing on latency, throughput, and packet loss. As a result of our study, the DDS-XRCE standard is deemed suitable for Internet of Things applications.</span></p> 2022-11-23T00:00:00+00:00 Copyright (c) 2022 EAI Endorsed Transactions on Internet of Things Smart Agriculture Solutions for Vietnamese Farmers 2022-12-15T09:36:08+00:00 Chien-Thang Vu <div><p class="ICST-abstracttext"><span lang="EN-GB">Agriculture is the back bone of Vietnam and more than 70% of people in Vietnam depend on agriculture. Nowadays, agriculture crops are affected due to many environmental changes. To overcome this problem, I design and prototype a wireless sensor and actuator network for smart agriculture application. The aim of this work is to be able to capture useful data to start predicting measurements and events that could help farmers and specialists to save time and money. I propose two solutions for smart agriculture. In the first solution, wireless sensor and actuator nodes monitor multiple environmental parameters and transmit the sensor data to a server via the internet. Users can monitor these environmental parameters from anywhere via the internet. In the second solution, wireless sensor and actuator nodes send data to a local computer. This computer is deployed in a technical room. The experiments show that both solutions operate well in real conditions.</span></p></div> 2022-12-14T00:00:00+00:00 Copyright (c) 2022 EAI Endorsed Transactions on Internet of Things Data prediction system in malaria control based on physio-chemical parameters of anopheles breeding sites 2022-12-15T09:36:05+00:00 Kodzo M. Parkoo Bamba Gueye Cheikh Sarr Ibrahima Dia <div><p class="ICST-abstracttext"><span lang="EN-US">Malaria is a public health problem in Senegal. As a result, a real program focused on prevention and treatment has been put in place to fight it. Despite the efforts made, the prevalence rate of malaria is still worrying</span><span lang="EN-GB">.&nbsp;</span>To have a prediction system that, once certain physicochemical information, will inform if we can or not attend to the development of anopheles larvae.&nbsp;<span lang="EN-US">Our work consisted of collecting data on mosquito breeding sites, processing, and analyzing them in order to predict the physicochemical conditions for the development of Anopheles larvae</span><span lang="EN-GB">.&nbsp;</span><span lang="EN">Larval control is an alternative to reduce the prevalence rate of malaria. We retain logistic regression as an algorithm and water electrical conductivity, water turbidity, temperature, and dissolved oxygen as determinant parameters</span><span lang="EN-GB">.&nbsp;</span><span lang="EN">The learning and prediction system set up on the basis of the determining parameters and logistic regression worked.</span> <span lang="EN">The predictions will be improved by further training our system with field data.</span></p></div> 2022-12-15T00:00:00+00:00 Copyright (c) 2022 EAI Endorsed Transactions on Internet of Things Implementation of Beeman's algorithm to calculate execution time on GPU using CUDA 2022-12-15T09:36:03+00:00 Youness Rtal Abdelkader Hadjoudja <div><p class="ICST-abstracttext"><span lang="EN-US">Graphics processing units (GPUs) are microprocessors designed to the operation of display and manipulation of graphics data. . Currently, these graphics processor are found on all graphics hardware and have become very important instruments for parallel computing. GPUs are practical tools for the development of several fields like decoding and encoding, solving differential equations. Their advantages are increase in performance, faster data processing and reduced power consumption. It is simple to program a GPU with CUDA C to run parallel calculations. But it is necessary to have an understanding of the architectural aspects of the GPU and CUDA C. This paper, we will describe and implement Beeman's algorithm on GPU and CPU using CUDA C to solve the differential equation of charged particles in an electromagnetic field. Our goal is to evaluate the performances of the implementation on GPU and CPU processors and to deduce the efficiency of the use of GPUs.</span></p></div> 2022-12-15T00:00:00+00:00 Copyright (c) 2022 EAI Endorsed Transactions on Internet of Things Smart Cane: A Low Cost Assistive Device for the Visually Impaired 2023-01-25T14:10:05+00:00 Wohiduzzaman Kazi Taslima Jannat Limu Md. Rakibuzzaman <p class="ICST-abstracttext"><span lang="EN-GB">Vision impairment or low vision is the disability to see any objects clearly. It might be caused by old age, an accident, or any other neurological condition. People find it difficult to carry out their regular activities, regardless of the cause of their vision impairment or blindness. As medical researchers are working to find a cure for blindness, contrariwise researchers are using technology to make a vision impairment person’s life easier in an affordable way. As a result, a smart cane was developed, although it is expensive for most of blind people. The main objective of this paper is to introduce an affordable smart cane for every visually impaired person. The ultrasonic sensors in this walking stick are used to identify impediments. This system is using an arduino to reduce the processing time between receiving and delivering signals created by ultrasonic sensors. The speech output will guide a blind person to take a safe path making the stroll more comfortable and secure.</span></p> 2023-01-25T00:00:00+00:00 Copyright (c) 2023 EAI Endorsed Transactions on Internet of Things