DISTRIBUTED INTELLIGENT COMMUNICATION NETWORK ARCHITECTURE FOR UNMANNED VEHICLES

2020 ◽  
Author(s):  
А.С. МУТХАННА
Keyword(s):  
Network Architecture ◽  
Network Performance ◽  
Unmanned Vehicles ◽  
Traffic Density ◽  
Software Defined Networks ◽  
Network Coverage ◽  
Clustering Method ◽  
Intelligent Communication ◽  
High Traffic Density ◽  
Overall Reliability

Представлена архитектура сети, обеспечивающей поддержку приложений для беспилотного транспорта, требующих ультрамалых задержек. Предлагаемая архитектура использует технологии мобильных граничных вычислений MEC и программно-конфигурируемых сетей SDNдля повышения общей надежности сети и ее масштабируемости в условиях высокой плотности трафика. Также рассмотрен метод кластеризации для устройств с поддержкой технологии Device-to-Device (D2D), позволяющий обеспечить покрытие сети в централизованно недоступных узлах. Результаты оценки с использованием различных сетевых сценариев показывают, что предложенная архитектура с поддержкой MEC/SDN по сравнению с базовой архитектурой обеспечивает прирост производительности сети на 74% с точки зрения блокировки сетевых задач. The article presents the network architecture for supporting unmanned vehicle applications, requiring ultra-low latency. The proposed architecture uses technologies of mobile edge computing (MEC) and software-defined networks (SDN) to increase the overall reliability of the network and its scalability in conditions of high traffic density. A clustering method for D2D devices is also being considered to provide network coverage for centrally inaccessible nodes. Evaluation results using realistic conditions for various network scenarios show that the proposed architecture with MEC/SDN support provides a 74% increase in network performance in terms of blocking network tasks compared to the underlying architecture.

scholarly journals FOSquare: A Novel Optical HPC Interconnect Network Architecture Based on Fast Optical Switches with Distributed Optical Flow Control

Photonics ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 11
Author(s):  
Fulong Yan ◽  
Changshun Yuan ◽  
Chao Li ◽  
Xiong Deng
Keyword(s):  
Flow Control ◽  
Network Architecture ◽  
Network Performance ◽  
Optical Switches ◽  
Low Power Consumption ◽  
Low Latency ◽  
High Bandwidth ◽  
Fast Flow ◽  
Real Traffic ◽  
Interconnect Network

Interconnecting networks adopting Fast Optical Switches (FOS) can achieve high bandwidth, low latency, and low power consumption. We propose and demonstrate a novel interconnecting topology based on FOS (FOSquare) with distributed fast flow control which is suitable for HPC infrastructures. We also present an Optimized Mapping (OPM) algorithm that maps the most communication-related processes inside a rack. We numerically investigate and compare the network performance of FOSquare with Leaf-Spine under real traffic traces collected by running multiple applications (CG, MG, MILC, and MINI_MD) in an HPC infrastructure. The numerical results show that the FOSquare can reduce >10% latency with respect to Leaf-Spine under the scenario of 16 available cores.

Deployment Strategy in Distributed Underwater Sensor Networks

2014 ◽  
Vol 602-605 ◽  
pp. 3643-3647
Author(s):  
Li Yan Liu ◽  
Rong Fu ◽  
Yi He ◽  
Ying Qian Zhang
Keyword(s):  
Network Performance ◽  
Heuristic Method ◽  
Grid Method ◽  
Sensor Nodes ◽  
Triangular Grid ◽  
Underwater Sensor Networks ◽  
Network Coverage ◽  
Coverage Ratio ◽  
Initial Node ◽  
Deployment Strategy

Distributed underwater sensor network coverage is divided into two main categories: deterministic coverage and stochastic coverage. A strategy is put forward to deploy determinate area by using a triangular-grid method. When a coverage ratio is known, the distance between nodes can be adjusted to meet the coverage ratio in the monitored area, and the least number of sensor nodes can be calculated. Also a heuristic method is proposed for stochastic area deployment strategy. It is under the premise that the initial node location randomly deployed is given, using Voronoi diagram, the not easiest monitored path is searched, and the network coverage performance is improved by configuring the new nodes in the path. Finally it is proved that network performance is more improved by the simulation experiments, when one to four nodes are configured in the easiest breach path.

SE: A Simple and Efficient Strategy for Clustering and Routing in WSN

2014 ◽  
Vol 701-702 ◽  
pp. 1025-1028
Author(s):  
Yu Zhu Liang ◽  
Meng Jiao Wang ◽  
Yong Zhen Li
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocols ◽  
Information Needs ◽  
Network Performance ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Clustering Method ◽  
Position Information ◽  
Two Parameters

Clustering the sensor nodes and choosing the way for routing the data are two key elements that would affect the performance of a wireless sensor network (WSN). In this paper, a novel clustering method is proposed and a simple two-hop routing model is adopted for optimizing the network layer of the WSN. New protocol is characterized by simplicity and efficiency (SE). During the clustering stage, no information needs to be shared among the nodes and the position information is not required. Through adjustment of two parameters in SE, the network on any scale (varies from the area and the number of nodes) could obtain decent performance. This work also puts forward a new standard for the evaluation of the network performance—the uniformity of the nodes' death—which is a complement to merely taking the system lifetime into consideration. The combination of these two aspects provides a more comprehensive guideline for designing the clustering or routing protocols in WSN.

scholarly journals Imperiling on Urban Environment by Air Pollution and its Impact on Human Health

2019 ◽  
Vol 62 (2) ◽  
pp. 104-112
Author(s):  
Durdana Rais Hashmi ◽  
Akhtar Shareef ◽  
Talha Rehan Qadri ◽  
Muhammad Azam
Keyword(s):  
Particulate Matter ◽  
Human Health ◽  
Trace Gases ◽  
Quality Standard ◽  
Traffic Density ◽  
Pollution Level ◽  
Residential Areas ◽  
Industrial Emissions ◽  
Industrial Areas ◽  
High Traffic Density

Present study was carried out to analyze the concentration of the pollutants due to air born particulate matter (PM10) and infectious trace gases and their effects on human health at ten different locations along busy intersections in the commercial, residential and industrial areas of Karachi city. At each selected location, the study was carried out to determine the level of particulate matter and trace gases for a period of 8 h twice in a month during the year 2015. Samples were collected at ten selected locations i.e. Karimabad(C-1), Tibet Centre(C-2), and Liaquatabad(C-3) in commercial areas; PIB Colony(R-1), Nazimabad(R-2) and Gulshan-e-Iqbal(R-3) in residential areas; Siemens G. Belt(I-E1), Naurus G Belt (I-E2), Singer Chowrangi(I-W3) and Chamra Chowrangi(I-W4) in industrial areas of the city. Resultsreceived from different air quality categories were calculated according to National Environmental Quality Standard (NEQS) at selected locations, as in commercial areas showing poor pollution level for trace gases and PM10 due to high traffic density. In Residential areas PIB Colony (R-1) and Gulshan-e-Iqbal (R-3), found under good category with respect to the trace gases and moderate pollution level for the PM10 pollution, having low traffic density whereas Nazimabad(R-2) presents moderate category for trace gases and unhealthy category for PM10 pollution with high traffic density. In industrial areas Singer Chowrangi (I-W3) and Chamra Chowrangi(I-W4) found under moderate pollution level with moderate traffic density, whereas, Siemens G. Belt(I-E1) and Naurus G. Belt(I-E2) locations are represented by moderate pollution values for trace gases and found under poor pollution level for PM10 pollution, may be due to industrial emissions and heavy vehicular emission. Level of PM10 and trace gases at all the selected sites excluding residential areas, exceeds the permissible limits as specified by NEQS.

Implementation of Network Traffic Monitoring using Software Defined Networking Ryu Controller

2021 ◽  
Vol 16 ◽  
pp. 270-277
Author(s):  
Omran M. A. Alssaheli ◽  
Z. Zainal Abidin ◽  
N. A. Zakaria ◽  
Z. Abal Abas
Keyword(s):  
Network Traffic ◽  
Network Architecture ◽  
Network Performance ◽  
Software Defined Networking ◽  
Traffic Monitoring ◽  
Cloud Services ◽  
Future Research ◽  
Mesh Topology ◽  
Network Controller ◽  
Network Traffic Monitoring

Network traffic monitoring is vital for enhancing the overall network performance and for optimizing the traffic flows. However, an emerging growth of use in cloud services, internet-of-things, block-chain and data analytics, demand the hardware-based-network-controller to provide more features for expanding network architecture. Therefore, Software Defined Networking (SDN) offers a new solution in terms of scalability, usability and programmable software-based-network-controller for the legacy network infrastructure. In fact, SDN provides a dynamic platform for the network traffic monitoring using international standard. In this study, SDN setup and installation method uses a Mininet emulator containing a controller Ryu with switching hub component, OpenFlow switches, and nodes. The number of nodes is adding until reaches to 16 nodes and evaluated through different network scenarios (single, linear and tree topology). Findings show that the single topology gives a winning criterion compared to other topologies. SDN implementation is measured with performance parameters such as Throughput, Jitter, Bandwidth and Round-Trip Time between scenarios using the Ryu controller. Future research explores on the performance of SDN in larger network and investigates the efficiency and effectiveness of SDN implementation in mesh topology.

Novel Energy Aware Algorithm to Design Multilayer Architecture for Dense Wireless Sensor Networks

2016 ◽  
pp. 79-114
Author(s):  
Naveen Chilamkurti ◽  
Sohail Jabbar ◽  
Abid Ali Minhas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Architecture ◽  
Network Performance ◽  
Data Dissemination ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Unbalanced Load

Network layer functionalists are of core importance in the communication process and so the routing with energy aware trait is indispensable for improved network performance and increased network lifetime. Designing of protocol at this under discussion layer must consider the aforementioned factors especially for energy aware routing process. In wireless sensor networks there may be hundreds or thousands of sensor nodes communicating with each other and with the base station, which consumes more energy in exchanging data and information with the additive issues of unbalanced load and intolerable faults. Two main types of network architectures for sensed data dissemination from source to destination exist in the literature; Flat network architecture, clustered network architecture. In flat architecture based networks, uniformity can be seen since all the network nodes work in a same mode and generally do not have any distinguished role.

Novel Energy Aware Algorithm to Design Multilayer Architecture for Dense Wireless Sensor Networks

2020 ◽  
pp. 372-399
Author(s):  
Naveen Chilamkurti ◽  
Sohail Jabbar ◽  
Abid Ali Minhas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Architecture ◽  
Network Performance ◽  
Data Dissemination ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Unbalanced Load

Network layer functionalists are of core importance in the communication process and so the routing with energy aware trait is indispensable for improved network performance and increased network lifetime. Designing of protocol at this under discussion layer must consider the aforementioned factors especially for energy aware routing process. In wireless sensor networks there may be hundreds or thousands of sensor nodes communicating with each other and with the base station, which consumes more energy in exchanging data and information with the additive issues of unbalanced load and intolerable faults. Two main types of network architectures for sensed data dissemination from source to destination exist in the literature; Flat network architecture, clustered network architecture. In flat architecture based networks, uniformity can be seen since all the network nodes work in a same mode and generally do not have any distinguished role.

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