scholarly journals Analisis Kinerja Protokol MQTT dan HTTP Pada Akuisisi Data Magnet Berbasis Internet of Things

2021 ◽  
Vol 6 (2) ◽  
pp. 71-80
Author(s):  
Hairatunnisa Hairatunnisa ◽  
Hapsoro Agung Nugroho ◽  
Relly Margiono
Keyword(s):  
Internet Of Things ◽  
Packet Loss ◽  
Measurement Data ◽  
Magnetic Data ◽  
Average Delay ◽  
Average Value ◽  
Data Transmission System ◽  
Packet Length ◽  
Http Protocol ◽  
Communication System Design

One of the determinants of the quality of magnetic data is continuous data, so we need a data transmission system that can continuously transmit observational data. In this research, a magnetometer communication system design was carried out with the concept of the Internet of Things (IoT) using the MQTT and HTTP protocol, where measurement data in the form of the x-axis, y-axis, z-axis, horizontal components, and total magnetic field components are displayed on the dashboard in real time and continuously. Testing the performance of sending data is done using the Wireshark, it is known that the MQTT protocol has a better delivery quality compared to the HTPP protocol with an average delay value of 0.0120 seconds, an average value of packet length of 54 bytes and a packet loss value of 0.11%, while the HTTP protocol has an average delay value of 0.0257 seconds, an average packet length value of 268.1 bytes and a packet loss value of 0.5%.

scholarly journals Analytical Study of Periodic Restricted Access Window Mechanism for Short Slots

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 549
Author(s):  
Elizaveta Zazhigina ◽  
Ruslan Yusupov ◽  
Evgeny Khorov ◽  
Andrey Lyakhov
Keyword(s):  
Internet Of Things ◽  
Analytical Study ◽  
Measurement Data ◽  
Access Point ◽  
The Novel ◽  
Time Intervals ◽  
Average Delay ◽  
Restricted Access ◽  
Low Energy Consumption ◽  
The Internet Of Things

The tremendous number of devices involved in the Internet of Things is bringing new challenges to wireless networking. The more devices that transmit in a wireless network, the higher the contention for the channel. The novel Wi-Fi HaLow standard introduces a new channel access mechanism called the Periodic Restricted Access Window (PRAW), which aims to reduce this contention. With this mechanism, an access point can define a series of time intervals during which only a predefined group of stations can transmit data while the other stations are forbidden to access the channel. Unfortunately, the standard does not suggest how to configure the PRAW mechanism according to scenario-specific requirements and restrictions. Many Internet of Things scenarios require the fast and low energy consumption delivery of measurement data from wireless sensors while saving channel resources for other stations that transmit, for example, multimedia traffic. Therefore, this paper studies the problem of the minimization of the channel timeshare consumed by the PRAW with restrictions on the average delay and power consumption. To solve the problem and configure the PRAW optimally, a novel analytical model is developed. The key feature of the model is the consideration of the case of short PRAW slots that allow the computational complexity to be reduced and high accuracy to be achieved. These properties make the model suitable for implementation in real devices.

scholarly journals Adaptive Routing Strategy Based on Improved Double Q-Learning for Satellite Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jian Zhou ◽  
Xiaotian Gong ◽  
Lijuan Sun ◽  
Yong Xie ◽  
Xiaoyong Yan
Keyword(s):  
Internet Of Things ◽  
Adaptive Routing ◽  
Mobile Internet ◽  
Secure Routing ◽  
Q Value ◽  
Average Delay ◽  
Q Learning ◽  
Data Packets ◽  
Routing Strategy ◽  
Node Status

Satellite Internet of Things (S-IoT), which integrates satellite networks with IoT, is a new mobile Internet to provide services for social networks. However, affected by the dynamic changes of topology structure and node status, the efficient and secure forwarding of data packets in S-IoT is challenging. In view of the abovementioned problem, this paper proposes an adaptive routing strategy based on improved double Q-learning for S-IoT. First, the whole S-IoT is regarded as a reinforcement learning environment, and satellite nodes and ground nodes in S-IoT are both regarded as intelligent agents. Each node in the S-IoT maintains two Q tables, which are used for selecting the forwarding node and for evaluating the forwarding value, respectively. In addition, the next hop node of data packets is determined depending on the mixed Q value. Second, in order to optimize the Q value, this paper makes improvements on the mixed Q value, the reward value, and the discount factor, respectively, based on the congestion degree, the hop count, and the node status. Finally, we perform extensive simulations to evaluate the performance of this adaptive routing strategy in terms of delivery rate, average delay, and overhead ratio. Evaluation results demonstrate that the proposed strategy can achieve more efficient and secure routing in the highly dynamic environment compared with the state-of-the-art strategies.

Packet loss rate monitoring model of IOT based on differential evolution algorithm

2021 ◽  
pp. 1-12
Author(s):  
Yinghua Feng ◽  
Wei Yang
Keyword(s):  
Internet Of Things ◽  
Differential Evolution ◽  
Packet Loss ◽  
Loss Rate ◽  
Differential Evolution Algorithm ◽  
Packet Loss Rate ◽  
Data Space ◽  
Monitoring Model ◽  
Evolution Algorithm ◽  
The Internet Of Things

In order to overcome the problems of high energy consumption and low execution efficiency of traditional Internet of things (IOT) packet loss rate monitoring model, a new packet loss rate monitoring model based on differential evolution algorithm is proposed. The similarity between each data point in the data space of the Internet of things is set as the data gravity. On the basis of the data gravity, combined with the law of gravity in the data space, the gravity of different data is calculated. At the same time, the size of the data gravity is compared, and the data are classified. Through the classification results, the packet loss rate monitoring model of the Internet of things is established. Differential evolution algorithm is used to solve the model to obtain the best monitoring scheme to ensure the security of network data transmission. The experimental results show that the proposed model can effectively reduce the data acquisition overhead and energy consumption, and improve the execution efficiency of the model. The maximum monitoring efficiency is 99.74%.

scholarly journals JLVEA: Lightweight Real-Time Video Stream Encryption Algorithm for Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3627 ◽  
Author(s):  
Junhyeok Yun ◽  
Mihui Kim
Keyword(s):  
Internet Of Things ◽  
Packet Loss ◽  
Encryption Algorithm ◽  
Memory Usage ◽  
Video Encryption ◽  
Data Loss ◽  
Iot Security ◽  
Encryption Algorithms ◽  
Channel Separation ◽  
Color Composition

Along with the recent growth of Internet of Things (IoT) security camera market, there have been a number of personal information leakage incidents from security attacks targeting such cameras. Therefore, a permutation-based video encryption algorithm was proposed to secure video streams in low-performance processors such as IoT security cameras. However, existing permutation-based video encryption algorithms are vulnerable to known-plaintext attacks since they use the same permutation list for every frame. Moreover, situation deduction based on the color composition is possible. In this paper, we propose a new permutation-based video encryption algorithm that updates the permutation list for every frame using a crypto secure pseudo-random number generator without significantly increasing memory usage. By doing so, the algorithm becomes robust to known-plaintext attacks, which has been a common problem with existing permutation-based video encryption algorithms. In addition, color channel separation can prevent attackers from deducing situations through color composition. Pre-compression encryption is applied to make the algorithm robust to data loss because of packet loss. We implement the proposed algorithm and conduct an experiment to show its performance in terms of probability of data loss because of packet loss, encryption speed, and memory usage.

scholarly journals SURGNET: An Integrated Surgical Data Transmission System for Telesurgery

2009 ◽  
Vol 2009 ◽  
pp. 1-9 ◽  
Author(s):  
Sriram Natarajan ◽  
Aura Ganz
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Force Feedback ◽  
Time Varying ◽  
Negative Effects ◽  
Delay Jitter ◽  
Buffer Time ◽  
Time Varying Networks ◽  
Surgical Data ◽  
Data Transmission System

Remote surgery information requires quick and reliable transmission between the surgeon and the patient site. However, the networks that interconnect the surgeon and patient sites are usually time varying and lossy which can cause packet loss and delay jitter. In this paper we propose SURGNET, a telesurgery system for which we developed the architecture, algorithms and implemented it on a testbed. The algorithms include adaptive packet prediction and buffer time adjustment techniques which reduce the negative effects caused by the lossy and time varying networks. To evaluate the proposed SURGNET system, at the therapist site, we implemented a therapist panel which controls the force feedback device movements and provides image analysis functionality. At the patient site we controlled a virtual reality applet built in Matlab. The varying network conditions were emulated using NISTNet emulator. Our results show that even for severe packet loss and variable delay jitter, the proposed integrated synchronization techniques significantly improve SURGNET performance.

scholarly journals Performance Evaluation of a Dual Coverage System for Internet of Things Environments

2016 ◽  
Vol 2016 ◽  
pp. 1-20 ◽  
Author(s):  
Omar Said ◽  
Amr Tolba
Keyword(s):  
Internet Of Things ◽  
Packet Loss ◽  
The Internet ◽  
Network Coverage ◽  
Coverage Area ◽  
End To End Delay ◽  
High Altitude Platforms ◽  
Multiple Levels ◽  
Coverage Problems ◽  
Simulation Package

A dual coverage system for Internet of Things (IoT) environments is introduced. This system is used to connect IoT nodes regardless of their locations. The proposed system has three different architectures, which are based on satellites and High Altitude Platforms (HAPs). In case of Internet coverage problems, the Internet coverage will be replaced with the Satellite/HAP network coverage under specific restrictions such as loss and delay. According to IoT requirements, the proposed architectures should include multiple levels of satellites or HAPs, or a combination of both, to cover the global Internet things. It was shown that the Satellite/HAP/HAP/Things architecture provides the largest coverage area. A network simulation package, NS2, was used to test the performance of the proposed multilevel architectures. The results indicated that the HAP/HAP/Things architecture has the best end-to-end delay, packet loss, throughput, energy consumption, and handover.

scholarly journals Analysis Quality of Service Wireless LAN at University PGRI Yogyakarta

2018 ◽  
Vol 6 (1) ◽  
pp. 9
Author(s):  
Nur Kukuh Wicaksono ◽  
Bambang Sugiantoro
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Wireless Lan ◽  
Educational Institution ◽  
The Internet ◽  
Average Delay ◽  
Observation Methods ◽  
The University ◽  
Internet Network

PGRI University of Yogyakarta is an educational institution that uses the internet as one of the supporting facilities and infrastructures to manage and organize the data and information used by the student to find references about the lecture. PGRI University Yogyakarta has three buildings on the main campus building A building B and C buildings, where each building using wireless LAN as a means for students to use the internet network, the weakness of the wireless LAN network where poor internet network in the wireless LAN network. Thus the researchers wanted to analyze the Quality of Service wireless LAN networks in building A, building B, and C buildings, in each floor.With the existence of quality of the network at PGRI University of Yogyakarta will be done by interviews and observation methods, problems that occur in wireless LAN networks in each building have been prepared in advance, after which it will do an analysis of wireless LAN networks using quality of service parameters, namely delay, packet loss, bandwidth, throughput and factors that influence the wireless network at the University of PGRI Yogyakarta.The results of the measurement and monitoring of Quality of Service wireless LAN at PGRI University of Yogyakarta in building A, building B, C on each floor of the building can be classified in the category of poor with the average delay for each building to around 150 ms and packet loss = 28%, bandwidth = 173523 bits / s and throughput = 22%, and the factors that occurred in the signal range cannot cover every room in every building. From these results it can be concluded that the quality of the wireless LAN at the University PGRI Yogyakarta according to the TIPHON standards categorized as poor.

scholarly journals Vibration Parameters Study of Ship Structures Using Wavelet Analysis of Vibrogram

2021 ◽  
pp. 292-305
Author(s):  
Pavel A. Starodubtsev ◽  
Grigory V. Dorofeev ◽  
Andrey O. Lipovetskiy
Keyword(s):  
Fourier Transform ◽  
Wavelet Analysis ◽  
Measurement Data ◽  
Noise Signal ◽  
Vibration Measurement ◽  
Ship Structures ◽  
Average Value ◽  
Signal Synthesis ◽  
Frequency Transformations ◽  
Vibration Parameters

The study of the vibration parameters of ship structures is important for developing measures to ensure their reliable operation on ships. The commonly used analysis of vibrograms using the Continuous Fourier Transform (CFT) to accurately represent non-stationary functions in general and noise source signals in particular is unsuitable due to a number of drawbacks. The problems of spectral analysis and time-limited signal synthesis can be partially solved by switching to the Window Fourier Transform (WFT). The disadvantage of the WFT is that its calculation uses a fixed window, which cannot be adapted to the local properties of the signal. In order to get rid of this shortcoming for the analysis of vibrogram you can use wavelet transform. It also solves a number of other problems related to the processing of a noise signal. The word “wavelet” means small waves following each other (some sources have introduced the concept of “splash”). In a narrow sense, wavelets are a family of functions obtained by scaling and shifting a single, parent function. In a broad sense, wavelets are functions with frequency localization, whose average value is zero. The article shows the signs of a wavelet. Examples of the most common wavelet functions are given. The use of wavelet functions is proposed not only on the basis of time, but also frequency transformations. The implementation of the algorithm for analyzing vibration measurement data is proposed. An example of vibration measurement data and the results of their processing based on frequency wavelet analysis are given

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