scholarly journals Multi-Topology Routing Algorithms in SDN-Based Space Information Networks

2019 ◽  
Vol 11 (1) ◽  
pp. 15 ◽  
Author(s):  
Xiangli Meng ◽  
Lingda Wu ◽  
Shaobo Yu
Keyword(s):  
Spatial Information ◽  
Dynamic Change ◽  
Routing Algorithm ◽  
Complex Structure ◽  
Information Networks ◽  
Routing Strategy ◽  
Spatial Tasks ◽  
Task Oriented ◽  
Space Information Networks

Aiming at the complex structure of the space information networks (SIN) and the dynamic change of network topology, in order to design an efficient routing strategy, this paper establishes a SIN management architecture based on Software-defined Networking (SDN). A routing algorithm flow of the spatial information network based on a snapshot sequence is designed. For different spatial tasks with different Quality of Service (QoS) requirements, the concept of integrated link weight is proposed. The Warshall–Floyd algorithm is used to design the optimal routing strategy. A Task-oriented Bandwidth Resource Allocation (TBA) algorithm is proposed for multiple spatial tasks in the same link. Simulation results show that the algorithm can effectively guarantee the priority transmission of important tasks and avoid the unnecessary waste of bandwidth resources.

scholarly journals Multi-Objective Optimisation in Multi-QoS Routing Strategy for Software-Defined Satellite Network

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6356
Author(s):  
Yang Wu ◽  
Guyu Hu ◽  
Fenglin Jin ◽  
Siqi Tang
Keyword(s):  
Quality Of Service ◽  
Fuzzy Set ◽  
Routing Algorithm ◽  
Satellite Network ◽  
Quality Of Service Routing ◽  
Routing Strategy ◽  
Service Routing ◽  
Interval Type

The satellite network plays an increasingly important role in the global communication. With the development of communication technology, quality of service requirements have become more and more complex and diverse and the quality of service routing strategy of software-defined satellite network has become a more and more hot and difficult issue. In this paper, an interval-type-2 fuzzy set routing algorithm is proposed. Firstly, the multi- quality of service routing problem in software-defined satellite network is modeled. Then, the interval-type-2 fuzzy set routing algorithm is proposed to make fuzzy decisions. A series of experiments conducted in Network Simulator (Version 2.35) have proved that the proposed interval type-2 fuzzy set routing algorithm can reduce average delay, increase total throughput and reduce packet drop rate.

scholarly journals The quality of experience–oriented personal message acquisition optimization for intelligent apparatus in space information networks

2018 ◽  
Vol 14 (5) ◽  
pp. 155014771877253
Author(s):  
Changhua Yao ◽  
Lei Zhu
Keyword(s):  
Statistical Analysis ◽  
Mathematical Analysis ◽  
Quality Of Experience ◽  
Statistical Data ◽  
Information Networks ◽  
Information Network ◽  
Optimization Approach ◽  
Space Information Network ◽  
Space Information Networks

In this article, we investigate the problem of personal message acquisition optimization for intelligent apparatus in the space information network. The quality of experience for persons during achieving the synthetical message rapidly and exactly through the apparatus is significant to the apparatus layout. In this article, we presented a quality of experience–oriented synthetical statistical analysis optimization approach for the personal message acquisition for intelligent apparatus. The main contribution is that the mathematical analysis is combined with the statistical data for the assessment of the personal message acquisition to overcome some drawbacks in the existing works. Experiments verified that the presented approach could make the personal message acquisition with much higher quality of experience.

Topology-Based Failure Diagnosis Algorithm in Space Information Networks

2011 ◽  
Vol 58-60 ◽  
pp. 956-962
Author(s):  
Jun Liu ◽  
Jin Tao Wang ◽  
Yu Liu
Keyword(s):  
Low Cost ◽  
Dominating Set ◽  
Failure Detection ◽  
Information Networks ◽  
Failure Diagnosis ◽  
Proper Number ◽  
Diagnosis Rate ◽  
Diagnosis Algorithm ◽  
Space Information Networks

The space information networks are easy to be disturbed and destroyed, which is due to their hostile operational environments and results in a decrease in network quality of service. Given their characteristics, a distributed topology failure diagnosis scheme composed of failure detection node election and failure diagnosis is proposed. First, a proper number of nodes are elected to detect faults in a coordinated and distributed way by using minimum dominating set algorithm. Then elected diagnosis nodes detect faults around based on the theory of dependency-graph. The technology of minimum Huffman tree is used to preliminarily locate failures and on that base the further location is fulfilled through sending detection messages on purpose. Simulation results from NS2 demonstrate that high accurate diagnosis rate can be reached at the expense of low cost by this failure diagnosis algorithm.

scholarly journals Survey on security issues of routing and anomaly detection for space information networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ming Zhuo ◽  
Leyuan Liu ◽  
Shijie Zhou ◽  
Zhiwen Tian
Keyword(s):  
Artificial Intelligence ◽  
Anomaly Detection ◽  
Spatial Information ◽  
Secure Routing ◽  
Information Networks ◽  
Network Systems ◽  
Long Distance ◽  
Detection Scheme ◽  
Security Issues ◽  
Space Information Networks

AbstractSpace information networks is network systems that can receive, transmit, and process spatial information lively. It uses satellites, stratosphere airships, Unmanned Aerial Vehicles, and other platforms as the carrier. It supports high-dynamic, real-time broadband transmission of earth observations and ultra-long-distance, long-delay reliable transmission of deep space exploration. The deeper the network integration, the higher the system’s security concerns and the more likely SINs will be controlled and destroyed in terms of cybersecurity. How to integrate new IT technologies such as artificial intelligence, digital twins, and blockchain to diverse application scenarios of SINs while maintaining SIN cybersecurity will be a long-term critical technical issue. This study is a review of the security issues for space information networks. First, this paper examines space information networks’ security issues and figures out the relationship between the main security threats, services, and mechanisms. Then, this article selects secure routing and anomaly detection from many security technologies to conduct a detailed overview from two perspectives of traditional methods and artificial intelligence. Subsequently, this paper investigates anomaly detection schemes for spatial information networks and proposes a deep learning-based anomaly detection scheme. Finally, we suggest the potential research directions and opening problems of space information network security. Overall, this paper aims to give readers an overview of the newly emerging technologies in space information networks’ security issues and provide inspiration for future exploration.

An adaptive routing algorithm for integrated information networks

2019 ◽  
Vol 16 (7) ◽  
pp. 195-206 ◽  
Author(s):  
Feng Wang ◽  
Dingde Jiang ◽  
Sheng Qi
Keyword(s):  
Routing Algorithm ◽  
Adaptive Routing ◽  
Information Networks ◽  
Integrated Information

scholarly journals Geospatial Open Data Usage and Metadata Quality

2021 ◽  
Vol 10 (1) ◽  
pp. 30
Author(s):  
Alfonso Quarati ◽  
Monica De Martino ◽  
Sergio Rosim
Keyword(s):  
Spatial Information ◽  
Open Data ◽  
Poor Quality ◽  
Data Usage ◽  
Open Government Data ◽  
Metadata Quality ◽  
Geospatial Datasets ◽  
Government Data ◽  
Determining Factor

The Open Government Data portals (OGD), thanks to the presence of thousands of geo-referenced datasets, containing spatial information are of extreme interest for any analysis or process relating to the territory. For this to happen, users must be enabled to access these datasets and reuse them. An element often considered as hindering the full dissemination of OGD data is the quality of their metadata. Starting from an experimental investigation conducted on over 160,000 geospatial datasets belonging to six national and international OGD portals, this work has as its first objective to provide an overview of the usage of these portals measured in terms of datasets views and downloads. Furthermore, to assess the possible influence of the quality of the metadata on the use of geospatial datasets, an assessment of the metadata for each dataset was carried out, and the correlation between these two variables was measured. The results obtained showed a significant underutilization of geospatial datasets and a generally poor quality of their metadata. In addition, a weak correlation was found between the use and quality of the metadata, not such as to assert with certainty that the latter is a determining factor of the former.

scholarly journals Cognitive map formation through haptic and visual exploration of tactile city-like maps

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Loes Ottink ◽  
Marit Hoogendonk ◽  
Christian F. Doeller ◽  
Thea M. Van der Geest ◽  
Richard J. A. Van Wezel
Keyword(s):  
Visual Information ◽  
Spatial Information ◽  
Cognitive Map ◽  
Visual Exploration ◽  
Distinct Advantage ◽  
Small Scale ◽  
Map Learning ◽  
Scale Models ◽  
Spatial Tasks ◽  
Tactile Maps

AbstractIn this study, we compared cognitive map formation of small-scale models of city-like environments presented in visual or tactile/haptic modalities. Previous research often addresses only a limited amount of cognitive map aspects. We wanted to combine several of these aspects to elucidate a more complete view. Therefore, we assessed different types of spatial information, and consider egocentric as well as allocentric perspectives. Furthermore, we compared haptic map learning with visual map learning. In total 18 sighted participants (9 in a haptic condition, 9 visuo-haptic) learned three tactile maps of city-like environments. The maps differed in complexity, and had five marked locations associated with unique items. Participants estimated distances between item pairs, rebuilt the map, recalled locations, and navigated two routes, after learning each map. All participants overall performed well on the spatial tasks. Interestingly, only on the complex maps, participants performed worse in the haptic condition than the visuo-haptic, suggesting no distinct advantage of vision on the simple map. These results support ideas of modality-independent representations of space. Although it is less clear on the more complex maps, our findings indicate that participants using only haptic or a combination of haptic and visual information both form a quite accurate cognitive map of a simple tactile city-like map.

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