Base Station Joint Transmission with Limited Backhaul Data Transfer for Multicell Networks

2015 ◽  
pp. 143-174
Author(s):  
Jian Zhao
Keyword(s):  
Data Transfer ◽  
Base Station ◽  
Multicell Networks ◽  
Joint Transmission

scholarly journals ЕКОЛОГІЧНИЙ МОНІТОРИНГ З ВИКОРИСТАННЯМ БЕЗПРОВІДНИХ СЕНСОРНИХ МЕРЕЖ: РОЗРОБЛЕННЯ ТА ЕКСПЕРИМЕНТИ

2019 ◽  
pp. 40-47
Author(s):  
Дмитро Дмитрович Соколов ◽  
Вікторія Юріївна Мерлак ◽  
Олександр Олександрович Орєхов ◽  
Анатолій Павлович Плахтеев
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Monitoring ◽  
Wireless Network ◽  
Monitoring System ◽  
Data Transfer ◽  
Base Station ◽  
Wireless Sensor ◽  
Mesh Topology ◽  
Temperature And Humidity

The article is devoted to the development of a monitoring system based on wireless sensor networks. The purpose of the article is to implement a system for environmental monitoring using wireless sensor networks, as well as its application in an apiary. Wireless sensor networks and their participation in environmental monitoring were investigated, and the interaction of a wireless network and data transfer protocols were described. The monitoring system was reviewed and analyzed, as well as systems in which monitoring is already applied. An experiment was conducted in which it was checked at what maximum distance the temperature and humidity parameters can be transmitted, the experiment was conducted with obstacles and without obstruction. Routing algorithms were examined how they work and how parameters (temperature and humidity) are transferred from sensors to the server. A prototype of a ground-based monitoring system for environmental monitoring was developed based on the wireless technology of building Zigbee sensor networks, taking into account the fact that new nodes can be added to this network or completely replaced. It was also found a solution to how to apply a wireless network in such an area as beekeeping. A mesh topology was selected and the physical devices that are the nodes of the network are separated. Nodes were also designed using as the base station for Arduino sensors and as ZigBee database modules from Digi called XBee. A study of these nodes on the noise immunity and stability of data transmission using sensors of flame, smoke, and temperature with humidity. The study revealed that XBee nodes are very unstable working next to Wi-Fi routers and in case of interference in the form of a forest. A statement of the problem was formed, which showed the relevance of the given system, why it is needed, who will be able to apply it, and also what the system contains and how it works. The functions that the program performs are listed. The conclusion is formulated on the result of the experiment, as well as how the system can be further upgraded, what can be added and what parameters can still be observed.

scholarly journals Big Data, Internet of Things, Augmented Reality: technology convergence in visualization issues

2019 ◽  
pp. 432-444
Author(s):  
D A Smuseva ◽  
A Y Rolich ◽  
L S Voskov ◽  
I Y Malakhov
Keyword(s):  
Big Data ◽  
Augmented Reality ◽  
Internet Of Things ◽  
Data Visualization ◽  
Data Transfer ◽  
Base Station ◽  
Time Data ◽  
Experimental Stand ◽  
Big Data Visualization ◽  
Standby Mode

The paper reviews the current situation of the Augmented Reality and Internet of Things markets. The implementing possibilities of AR for Big Data visualization from IoT devices are considered in this paper. The review and the analysis of methods, tools, products and data system of the visualization are presented. The paper provides an overview of the programs and devices of Augmented Reality, and an overview of development environments. The paper presents the existing classifications of computerized data visualization tools and proposes new classification, which takes into account interactive visualization, the purpose of the tool, the type of software product, the availability of ready-made templates, and other characteristics. The article proposes the architecture of the system for collecting data from IoT endpoint devices based on the Heltec modules. Experiments based on the developed experimental stand were carried out with Heltec devices of both versions to determine the number of losses with increasing distance between the sending device and the receiving device. The results of measuring the power consumption of these devices are presented in two modes: in standby mode and when sending a message to the Heltec endpoint device and in standby mode and when receiving a message for the base station. These studies were conducted using various data transfer protocols (LoRa, Wi-Fi and Bluetooth). The paper presents the result of the development of a digital twin of a university building and the development of augmented reality software for receiving data from real-time data collection devices.

Design of Hybridized Wireless Sensor Network using K-Means Clustering and Genetic Algorithm

2017 ◽  
Vol 2 (5) ◽  
pp. 1-6
Author(s):  
M. D. Gbolagade ◽  
R. G. Jimoh ◽  
K. A. Gbolagade ◽  
O. V. Mejabi
Keyword(s):  
Data Transfer ◽  
Cluster Head ◽  
Simulated Data ◽  
Life Time ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life ◽  
Cluster Heads ◽  
Main Challenge

Prolonging the network lifetime in wireless sensor networks (WSNs), Clustering has been recognized has one of the significant methods in achieving this, It entails grouping of sensor nodes into clusters and electing cluster heads (CHs) for all the clusters. CH’s accept data from relevant cluster’s nodes and forward the aggregate data to base station. A main challenge in WSNs is the selection of appropriate cluster heads. This work proposes a system that is efficient, scalable and load balanced. The proposed scheme combines two known algorithms namely k-means clustering and genetic algorithms based on the weaknesses identified in the two. The simulated data is obtained through the enhancement of clustering by the cluster head (base station) that helps in locating the nearest node that is important in the data transfer instead of transferring to a node that is not necessary, thereby wasting time and resources. The obtained simulation results indicate that this approach is efficient and last longer in elongating the battery life time than the conventional method by 60%.

scholarly journals Architecture of an MAS-Based Intelligent Communication in a WSN

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Mostefa Bendjima ◽  
Mohammed Feham
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Large Scale ◽  
Data Transfer ◽  
Base Station ◽  
Sensor Nodes ◽  
Process Data ◽  
Communication Architecture ◽  
Efficient Data ◽  
Intelligent Communication

Wireless sensor networks (WSNs) are designed to collect information across a large number of sensor nodes with limited batteries. Therefore, it is important to minimize energy consumption of each node, so as to extend the lifetime of the network. This paper proposes the use of an intelligent WSN communication architecture based on a multiagent system (MAS), to ensure optimal data collection. MAS refers to a group of agents that interact and cooperate to achieve a specific goal. To ensure this objective, we propose the integration of a migrating agent into each node to process data and enhance cooperation between neighboring nodes, while mobile agents (MAs) can be used to reduce data transfer between the nodes and send them to the base station (Sink). The collaboration of these agents generates a simple message that summarizes important information to be transmitted by an MA. To reduce the size of MAs, nodes in the network sectors are grouped in such way that, for each MA, an optimal itinerary is established, using a minimum amount of energy with efficient data aggregation within a minimum time. Successive simulations in large-scale sensor networks show the good performance of our proposal in terms of energy consumption and packet delivery rate.

Blockchain-Enabled Decentralized Reliable Smart Industrial Internet of Things (BCIIoT)

2021 ◽  
pp. 192-204
Author(s):  
Chandramohan Dhasarathan ◽  
Shanmugam M. ◽  
Shailesh Pancham Khapre ◽  
Alok Kumar Shukla ◽  
Achyut Shankar
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Wireless Communication ◽  
Information Flow ◽  
Data Transfer ◽  
Base Station ◽  
Transmission Power ◽  
Wireless Devices ◽  
Industrial Internet ◽  
Iot Devices

The development of wireless communication in the information technological era, collecting data, and transfering it from unmanned systems or devices could be monitored by any application while it is online. Direct and aliveness of countless wireless devices in a cluster of the medium could legitimate unwanted users to interrupt easily in an information flow. It would lead to data loss and security breach. Many traditional algorithms are effectively contributed to the support of cryptography-based encryption to ensure the user's data security. IoT devices with limited transmission power constraints have to communicate with the base station, and the data collected from the zones would need optimal transmission power. There is a need for a machine learning-based algorithm or optimization algorithm to maximize data transfer in a secure and safe transmission.

scholarly journals Passive Method for Estimating Available Throughput for Autonomous Off-Peak Data Transfer

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Kozo Satoda ◽  
Eiji Takahashi ◽  
Takeo Onishi ◽  
Takayuki Suzuki ◽  
Daisuke Ohta ◽  
...  
Keyword(s):  
Mobile Networks ◽  
Data Transfer ◽  
Peak Load ◽  
Base Station ◽  
Base Stations ◽  
Recent Analysis ◽  
Data Traffic ◽  
End User ◽  
Lte Networks

Large demands for mobile traffic subject base stations to frequent short-term and sharp peak loads. Recent analysis of data traffic on commercial mobile networks reported that the traffic peaks can be reduced by an average of 40% without compromising the quality of experience provided to the end user, if a peak load can be shifted for at most 20 s. To reduce peak traffic, we previously proposed a method for off-peak data transfer, with which user equipment (UE) autonomously delays receiving data, and a peak load on a base station can be shifted. In terms of off-peak transfer of data, a significant problem is determining how each UE estimates available throughput. In this paper we propose a method of passively estimating available throughput of each UE. We evaluated the effectiveness of the proposed method through experiments on experimental and commercial LTE networks. The results indicate that our method obtains more than a 0.7 correlation between actual available throughput and estimated throughput.

Research and Improvement of LEACH Protocol for Wireless Sensor Networks

2012 ◽  
Vol 562-564 ◽  
pp. 1304-1308 ◽  
Author(s):  
Qing Hui Wang ◽  
Hong Yan Guo ◽  
Yong Huan Ji
Keyword(s):  
Wireless Sensor Networks ◽  
Computer Simulation ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Data Transfer ◽  
Cluster Head ◽  
Base Station ◽  
Wireless Sensor ◽  
Leach Protocol ◽  
Optimal Cluster

The data transfer of wireless sensor network (WSN) can not be separated with routing protocol, Energy efficiency is one of the most important factors in wireless sensor networks. In this paper based on the uneven distribution of the LEACH cluster head and the different lengths and base station communications, we present a improved LEACH algorithm which refers to remaining energy and optimal cluster heads. Computer simulation using NS2 reveals that the proposed protocol reduces the energy consumption compared with the existing LEACH protocol.

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