scholarly journals Design and implementation of a cloud-based event-driven architecture for real-time data processing in wireless sensor networks

2021 ◽  
Author(s):  
Sabrine Khriji ◽  
Yahia Benbelgacem ◽  
Rym Chéour ◽  
Dhouha El Houssaini ◽  
Olfa Kanoun
Keyword(s):  
Real Time ◽  
Design Patterns ◽  
Business Models ◽  
Cost Effective ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Low Latency ◽  
Time Data ◽  
Event Driven ◽  
Real Time Data Processing

AbstractThe growth of the Internet of Things (IoTs) and the number of connected devices is driven by emerging applications and business models. One common aim is to provide systems able to synchronize these devices, handle the big amount of daily generated data and meet business demands. This paper proposes a cost-effective cloud-based architecture using an event-driven backbone to process many applications’ data in real-time, called REDA. It supports the Amazon Web Service (AWS) IoT core, and it opens the door as a free software-based implementation. Measured data from several wireless sensor nodes are transmitted to the cloud running application through the lightweight publisher/subscriber messaging transport protocol, MQTT. The real-time stream processing platform, Apache Kafka, is used as a message broker to receive data from the producer and forward it to the correspondent consumer. Micro-services design patterns, as an event consumer, are implemented with Java spring and managed with Apache Maven to avoid the monolithic applications’ problem. The Apache Kafka cluster co-located with Zookeeper is deployed over three availability zones and optimized for high throughput and low latency. To guarantee no message loss and to simulate the system performances, different load tests are carried out. The proposed architecture is reliable in stress cases and can handle records goes to 8000 messages in a second with low latency in a cheap hosted and configured architecture.

scholarly journals Low latency and energy efficient cluster based routing design for wireless sensor network

2019 ◽  
Vol 13 (2) ◽  
pp. 615
Author(s):  
Basavaraj G.N ◽  
Jaidhar C.D
Keyword(s):  
Real Time ◽  
Energy Efficient ◽  
Cluster Head ◽  
Data Access ◽  
Wireless Sensor ◽  
Low Latency ◽  
Time Data ◽  
Sensor Device ◽  
Real Time Data ◽  
Real Time Application

<span>Wireless sensor network (WSN) has attained wide adoption across various sectors and is considered to be key component of future real-time application such as BigData, Internet of things (IoT) etc. The modern application requires low latency and scalable real-time data access considering heterogeneous network. However, provisioning low latency real-time data access incurs energy overhead among sensor device. Clustering technique aided in providing scalability and minimizing energy consumption among sensor device. However, it incurs energy overhead among cluster head and sensor device closer to sink. To address, many optimization technique is been presented in recent time for optimal cluster selection. However, these technique are designed considering homogenous network. To address, this work presented Low Latency and Energy Efficient Routing (LLEER) design for heterogeneous WSN. The LLEER adopts multi-objective function such as</span><span>connectivity, connection time, radio signal strength, coverage time, and network traffic for cluster head and hop node selection. Experiment are conducted to evaluate LLEER design shows significant performance improvement over state-of-art model in terms of network lifetime considering total node death, first node death, and loss of connectivity, communication overhead, and packet transmission latency. Proposed LLEER brings a good trade-off between energy efficiency, and latency requirement of future real-time application.<span>   </span></span>

scholarly journals A Lightweight Secure and Energy-Efficient Fog-Based Routing Protocol for Constraint Sensors Network

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 89
Author(s):  
Khalid Haseeb ◽  
Naveed Islam ◽  
Yasir Javed ◽  
Usman Tariq
Keyword(s):  
Real Time ◽  
Energy Efficient ◽  
High Performance ◽  
Cost Effective ◽  
Sensor Nodes ◽  
Time Data ◽  
Energy Efficient Routing ◽  
Routing Security ◽  
Simulation Based

The Wireless Sensor Network (WSN) has seen rapid growth in the development of real-time applications due to its ease of management and cost-effective attributes. However, the balance between optimization of network lifetime and load distribution between sensor nodes is a critical matter for the development of energy-efficient routing solutions. Recently, many solutions have been proposed for constraint-based networks using the cloud paradigm. However, they achieve network scalability with the additional cost of routing overheads and network latency. Moreover, the sensors’ data is transmitted towards application users over the uncertain medium, which leads to compromised data security and its integrity. Therefore, this work proposes a light-weight secure and energy-efficient fog-based routing (SEFR) protocol to minimize data latency and increase energy management. It exploits the Quality of Service (QoS) factors and facilitates time-sensitive applications with network edges. Moreover, the proposed protocol protects real-time data based on two levels of cryptographic security primitives. In the first level, a lightweight data confidentiality scheme is proposed between the cluster heads and fog nodes, and in the second level, a high-performance asymmetric encryption scheme is proposed among fog and cloud layers. The analysis of simulation-based experiments has proven the significant outcomes of the proposed protocol compared to existing solutions in terms of routing, security, and network management.

scholarly journals An Efficient Mobile Sink based Data Collection Model for Clustered based Wireless Sensor Network

2021 ◽  
Vol 58 (1) ◽  
pp. 1836-1843
Author(s):  
Naveen Ghorpade, Dr. P. Vijaykarthik
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Real Time ◽  
Sensor Network ◽  
Data Communication ◽  
Data Access ◽  
Wireless Sensor ◽  
Low Latency ◽  
Time Data ◽  
Real Time Data

The Wireless Sensor Network (WSN) is considered to be a core component of tomorrow's real-time data communication networks, such as the Internet of Things (IoT). Modern networks need low-latency and high-throughputs in real-time due to a heterogeneous network. The availability of low-latency real-time data access incurs energy costs from the sensor systems. Clustering helped in maintaining the scalability and energy usage of sensors. However, it incurs overhead of the independent cluster head and sensor device within the close range of the sump pump. Since it would take longer transmission and recovery time. This Mine Research Paper introduces an Accessible Mobile Sensor Dependent Data Collection (EMSDC) Model for Cluster Based WSN (CWSN). Experiments are carried out to verify the efficiency of EMSDC and to equate it with the existing versions. The findings of the Latency and Overhead benchmarks demonstrated a lot of progress over the state-of-the-art versions.

scholarly journals A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Monitoring Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Remote Monitoring System ◽  
Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

Windows High-Speed Drawing Technology Research

2013 ◽  
Vol 441 ◽  
pp. 660-665 ◽  
Author(s):  
Zhen Dong Chou
Keyword(s):  
Real Time ◽  
High Speed ◽  
Technology Research ◽  
Time Data ◽  
Real Time Data ◽  
Real Time Data Processing ◽  
Graphics Engine ◽  
Realtime System ◽  
Huge Challenge ◽  
Drawing Method

The display speed of image and large real-time data processing is a huge challenge for realtime system. This paper completed a thorough research on existing drawing technology on the platform of windows; analyzed adaptive characteristics of using the general high-speed drawing techniques for high speed drawing and its merits and demerits. Finally, through a lot of experiments and simulations of high speed drawing process after optimization and combination, tested their drawing performance and efficiency in order to select an appropriate drawing method to develop a high-speed graphics engine for large real-time data.

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