SDN-based dynamic multi-path routing strategy for satellite networks

Qi, Hui; Guo, Yingjun; Hou, Dinghui; Xing, Ziyang; Ren, Weiwu; Lin, Cong; Di, Xiaoqiang

doi:10.1016/j.future.2022.03.012

Cited by 17 publications

(3 citation statements)

References 31 publications

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“…The tree is constructed by first identifying the node that the source can reach using the least amount of energy. In BIP, weights are dynamically changed at each step; however, in Prim's method [22] for the construction of minimum spanning trees, weights are only updated once.…”

Section: Energy-efficient Networkmentioning

confidence: 99%

Improving Broadcast System of Integrated Satellite-Terrestrial Network-based on Enhanced Ant colony Optimization

Deepa V,

Sivakumar B

2024

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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With the use of seamless high-speed worldwide network connectivity in future, it is anticipated that the integrated satellite-terrestrial network (ISTN) will be a possible option. Due to the inadequacy of topological data and the close coupling of data and control planes, deploying optimized rules on routers is difficult. The important factors in ISTN networks are routing rules and policies, link failure, and high-bandwidth communication. Software-defined networking (SDN) is an open innovation approach that enables programmability from a central location. The controller handles the complexity of the network, whereas the infrastructure layer devices relay the packets. Thus, we investigated the broadcast by dynamically adjusting routes for fault tolerance and energy efficiency of the ISTN using distance between nodes. In addition, using dynamic source routing, this study examines the competence functions of all managing nodes in a network. The routing design is distributed among all nodes to create numerous collective paths. For LEO satellite networks, the ant colony optimization-based routing algorithm is an improved version that considers the probability of faults and low-energy consumption. The proposed simulation ensures a seamless transition in the event of failures and avoids the requirement for an additional coordination service.

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Section: Energy-efficient Networkmentioning

confidence: 99%

Improving Broadcast System of Integrated Satellite-Terrestrial Network-based on Enhanced Ant colony Optimization

Deepa V,

Sivakumar B

2024

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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“…Bi et al [22] proposed an SDN-based composite architecture for a space fusion network, which integrates satellite backbone networks, ground mobile networks, and internet backbone networks for real-time signaling exchange, completing the transmission, storage, and processing of massive data and achieving the efficient utilization of network resources. Qi et al [23] explained the benefits of integrating SDNs into satellite networks and proposed a multipath routing strategy based on an SDN, which used a combination of delay, bandwidth, and node load as the calculation factors for the link transmission costs.…”

Section: Dynamic Satellite Routingmentioning

confidence: 99%

A Routing Strategy Based Genetic Algorithm Assisted by Ground Access Optimization for LEO Satellite Constellations

Zhang,

Lv,

et al. 2023

Electronics

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Large-scale low Earth orbit satellite networks (LSNs) have been attracting increasing attention in recent years. These systems offer advantages such as low latency, high bandwidth communication, and all terrain coverage. However, the main challenges faced by LSNs is the calculation and maintenance of routing strategies. This is primarily due to the large scale and dynamic network topology of LSN constellations. As the number of satellites in constellations continues to rise, the feasibility of the centralized routing strategy, which calculates all shortest routes between every satellite, becomes increasingly limited by space and time constraints. This approach is also not suitable for the Walker Delta formation, which is becoming more popular for giant constellations. In order to find an effective routing strategy, this paper defines the satellite routing problem as a mixed linear integer programming problem (MILP), proposes a routing strategy based on a genetic algorithm (GA), and comprehensively considers the efficiency of source or destination ground stations to access satellite constellations. The routing strategy integrates ground station ingress and exit policies and inter-satellite packet forwarding policies and reduces the cost of routing decisions. The experimental results show that, compared with the traditional satellite routing algorithm, the proposed routing strategy has better link capacity utilization, a lower round trip communication time, and an improved traffic reception rate.

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“…SDN uses machine learning techniques to progress the capability of resource scheduling [1]. The balance exploration and utilization in the multi-path selection process is applied for Gaussian distribution in the balancing module [2]. The various kinds of facility flows in multipath routing may work out the separate necessities in terms of bandwidth, obstruct, and other quality of service (QoS) metrics, but different networks have different multipath detection, the establishment of the network efficiency and also differ in selection strategies.…”

Section: Introductionmentioning

confidence: 99%

Secure Multi-Path Selection with Optimal Controller Placement Using Hybrid Software-Defined Networks with Optimization Algorithm

Kadam,

Deshmukh,

Gund

et al. 2023

IJRITCC

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The Internet's growth in popularity requires computer networks for both agility and resilience. Recently, unable to satisfy the computer needs for traditional networking systems. Software Defined Networking (SDN) is known as a paradigm shift in the networking industry. Many organizations are used SDN due to their efficiency of transmission. Striking the right balance between SDN and legacy switching capabilities will enable successful network scenarios in architecture networks. Therefore, this object grand scenario for a hybrid network where the external perimeter transport device is replaced with an SDN device in the service provider network. With the moving away from older networks to SDN, hybrid SDN includes both legacy and SDN switches. Existing models of SDN have limitations such as overfitting, local optimal trapping, and poor path selection efficiency. This paper proposed a Deep Kronecker Neural Network (DKNN) to improve its efficiency with a moderate optimization method for multipath selection in SDN. Dynamic resource scheduling is used for the reward function the learning performance is improved by the deep reinforcement learning (DRL) technique. The controller for centralised SDN acts as a network brain in the control plane. Among the most important duties network is selected for the best SDN controller. It is vulnerable to invasions and the controller becomes a network bottleneck. This study presents an intrusion detection system (IDS) based on the SDN model that runs as an application module within the controller. Therefore, this study suggested the feature extraction and classification of contractive auto-encoder with a triple attention-based classifier. Additionally, this study leveraged the best performing SDN controllers on which many other SDN controllers are based on OpenDayLight (ODL) provides an open northbound API and supports multiple southbound protocols. Therefore, one of the main issues in the multi-controller placement problem (CPP) that addresses needed in the setting of SDN specifically when different aspects in interruption, ability, authenticity and load distribution are being considered. Introducing the scenario concept, CPP is formulated as a robust optimization problem that considers changes in network status due to power outages, controller’s capacity, load fluctuations and changes in switches demand. Therefore, to improve network performance, it is planned to improve the optimal amount of controller placements by simulated annealing using different topologies the modified Dragonfly optimization algorithm (MDOA).

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SDN-based dynamic multi-path routing strategy for satellite networks

Cited by 17 publications

References 31 publications

Improving Broadcast System of Integrated Satellite-Terrestrial Network-based on Enhanced Ant colony Optimization

Improving Broadcast System of Integrated Satellite-Terrestrial Network-based on Enhanced Ant colony Optimization

A Routing Strategy Based Genetic Algorithm Assisted by Ground Access Optimization for LEO Satellite Constellations

Secure Multi-Path Selection with Optimal Controller Placement Using Hybrid Software-Defined Networks with Optimization Algorithm

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