QoS Routing for MANET and Satellite Hybrid Network to Support Disaster Relives and Management

Yang, Xin; Sun, Zhili; Miao, Yongwei; Cruickshank, Haitham

doi:10.1109/vtcspring.2016.7504438

Cited by 7 publications

(7 citation statements)

References 7 publications

(6 reference statements)

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“…Delay (D i ) for the i th packet was measured as in equation (1) where R i and S i are the times for a packet to be received and sent respectively [14] [15].…”

Section: Methodsmentioning

confidence: 99%

“…Wireless networks such as Mobile Ad-hoc Network (MANET) and satellite networks are valuable for disaster sites due to their flexibility [1]. Reliable and high data-rate wireless multimedia communication among public safety agencies are important necessity for efficient rescue and recovery missions in the aftermath of natural disasters [2][3] [4].…”

Section: Introductionmentioning

confidence: 99%

“…Quality of Serive (QoS) performance is associated with the quality of user experience (QoE) and they provide important information about the network performance and the user's perception of the network performance [5]. A routing approach for offering reliable MANET-satellite hybrid networks for disaster management was proposed [1]. It considered the successful delivery of packets as the highest impact factor because in disaster management each packet may contain data for a survivor.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quality of service evaluation and assessment methods in wireless networks

Salama

Saatchi

Burke

2017

2017 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

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Wireless networks are capable of facilitating a reliable multimedia communication. The ease they can be deployed is ideal for disaster management. The Quality of Service (QoS) for these networks is critical to their effectiveness. Evaluation of QoS in wireless networks provides information that supports their management. QoS evaluation can be performed in multiple ways and indicates how well applications are delivered. In this work, fuzzy c-means clustering (FCM) and Kohonen unsupervised neural networks were compared for their abilities to differentiate between Good, Average and Poor QoS for voice over IP (VoIP) traffic. Fuzzy inference system (FIS), linear regression and multilayer perceptron (MLP) were evaluated to quantify QoS for VoIP. FCM and Kohonen successfully classified VoIP traffic into three types representing Low, Medium, and High QoS. FIS, regression model and MLP combined the QoS parameters (i.e. delay, jitter, and percentage packet loss ratio) with information from the generated clusters and indicated the overall QoS.

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“…Delay (D i ) for the i th packet was measured as in equation (1) where R i and S i are the times for a packet to be received and sent respectively [14] [15].…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quality of service evaluation and assessment methods in wireless networks

Salama

Saatchi

Burke

2017

2017 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

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“…The architecture prioritizes service requests according to different types of users and services' requirements, which include path delay and bandwidth requirements, and supports appropriate routing and resource allocation. X. Yang et al proposed a routing strategy based on the priority of specific QoS factors [14]. In the case that the current network state cannot meet all QoS requirements, this strategy can properly prioritize the requirements of the main parameters and weaken the other parameters to ensure the basic transmission of the service.…”

Section: A Qos Routing Methodsmentioning

confidence: 99%

A Trusted Resource-Based Routing Algorithm With Entropy Estimation in Integrated Space-Terrestrial Network

Guo

Wang

Zhi³

et al. 2020

IEEE Access

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Integrated Space-Terrestrial Network (ISTN) can effectively improve the global communication coverage and SDN framework in ISTN has emerged as a promising solution to guarantee the Quality of Service (QoS). At present, the researches on routing algorithm are mainly focused on the QoS parameters about resource availability and do not consider the impact of the network attacks comprehensively, such as DDoS attack. Plenty of available resources will be occupied by network attacks and normal traffic may be blocked incorrectly by attack defense solutions. In this paper, we propose a Trusted Routing (TR) model based on Trusted Resource Matrix (TRM) to protect the normal traffic from network attacks in ISTN. In the process, the SDN controller constructs the characteristic matrices by collecting the state information of each routing node and the entropy estimation method which describes the changes of traffic characteristics is used to determine whether a routing node is suffering from network attacks. Corresponding trust values are allocated to the routing nodes for constructing TRM and trusted transmission paths are discovered by the TR model. Based on the comprehensive consideration of available and trusted resources, a Hybrid Routing (HR) model is proposed, taking into account the traditional QoS parameters and TRM. In the simulation experiments, the TR and HR models-based algorithms are evaluated. The experimental results show that TR and HR algorithms can effectively avoid the routing nodes suffering from network attacks and improve the communication QoS. When considering a scenario of a single attacked node under resource constraints, the average packet pass rate of HR algorithm is about 7.0% higher than that of TR algorithm and about 52.1% higher than that of traditional QoS algorithm.

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“…To provide reliable wireless communication in postdisaster scenes, Yang et al [17] proposed a hybrid network solution through terrestrial MANET and satellite networks. Compared with the conventional AODV (ad hoc ondemand distance vector) and AOMDV (ad hoc on-demand multipath) routing protocols, this solution can achieve a higher packet transmission rate, higher throughput, and lower delay.…”

Section: State Of the Artmentioning

confidence: 99%

Transmission Control of Cross-Regional Heterogeneous Networks for Direct Position Determination

Zong

Wang

et al. 2021

Wireless Communications and Mobile Computing

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In direct position determination (DPD), a large number of observation data need to be integrated and transmitted, which creates higher requirements for the transmission performance of the network. To alleviate the problem of performance degradation in a large number of data transmissions, this paper proposes a heterogeneous network architecture and transmission control algorithm for cross-regional heterogeneous networks. Through the heterogeneous integration of satellite and multihop networks, a transmission control model suitable for the long delay and high bit error rate environments is established, the congestion window of each stage of network transmission is analyzed, and the efficiency and accuracy of the algorithm are verified by experiments. The results show that a large amount of data can be transmitted in a heterogeneous network. When dealing with direct location, the algorithm can effectively transmit a large number of observation data for cross-regional heterogeneous networks. This simple and applicable transmission control algorithm can improve the satellite link throughput and reduce the download response time compared with the traditional transmission algorithm. These studies provide a reference for a large number of data transmissions in direct position determination.

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QoS Routing for MANET and Satellite Hybrid Network to Support Disaster Relives and Management

Cited by 7 publications

References 7 publications

Quality of service evaluation and assessment methods in wireless networks

Quality of service evaluation and assessment methods in wireless networks

A Trusted Resource-Based Routing Algorithm With Entropy Estimation in Integrated Space-Terrestrial Network

Transmission Control of Cross-Regional Heterogeneous Networks for Direct Position Determination

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