Design and Implementation of Distributed Controller Clustering for Solving the Issue of Single Failure in SDN Networks

Software-Defined Networks (SDN) It is a centralized control structure in the network that opens up new possibilities that did not exist before. The significant characteristic of this innovative approach is the focus on the capability of proposing networks of high dynamicity and programmability to transform the intelligence of underlying systems to the networks via controllers. The main issue of the SDN approach is found in its security, mainly due to its central-controlling architecture since the entire network is controlled from a central point. This makes it very vulnerable to single-point failure. In this paper, a fully Distributed SDN controller is proposed for solving the one point failure which exists within the single SDN controller. In general, the concept involves forming cluster of distributed controllers whereby each controller controls its domain and can thereby share the load within the network. The experimental results of the proposed system show an increase and enhancement in the performance of the network. The single-point failure issues have been overcome. The throughput of the proposed system increased with 20% while the packet loss rate was minimize with 33%.

Routing Optimization Based on OSPF in Multi-Layer Satellite Network

Multi-layer satellite network has become a hot spot for its wider coverage and higher bandwidth level. However, due to the frequent link changes and complexity of network, it is hard to find out a mechanism to handle well on long delay and high packet loss level. This paper proposes an optimized OSPF protocol called OOWLP to eliminate unnecessary routing convergence to optimize the packet loss level and delay ultimately. Link plan table, which records link contacting plan, will be used to update the link state database periodically so that we can eliminate the flooding procedure caused by scheduled link changes. On the other hand, Constrained Shortest Path First (CSPF) will be used to get business differentiated routes in multi-layer satellite network to optimized the throughput capacity in congestion scenario. We divide the sending packets into different businesses and get the routes for each business with longer duration limited by remaining bandwidth. Simulation results show that in normal scenario, average packet loss rate and delay performance are improved 17.42%, 51.44ms respectively, average packet loss rate and throughput capacity performance are optimized 79.05%, 9.81Mbps respectively in congestion scenario compared to standard OSPF. As a result, the proposed mechanism is able to shorten the average delay and lower the packet loss level in multi-layer satellite network.

Packet loss rate monitoring model of IOT based on differential evolution algorithm

In order to overcome the problems of high energy consumption and low execution efficiency of traditional Internet of things (IOT) packet loss rate monitoring model, a new packet loss rate monitoring model based on differential evolution algorithm is proposed. The similarity between each data point in the data space of the Internet of things is set as the data gravity. On the basis of the data gravity, combined with the law of gravity in the data space, the gravity of different data is calculated. At the same time, the size of the data gravity is compared, and the data are classified. Through the classification results, the packet loss rate monitoring model of the Internet of things is established. Differential evolution algorithm is used to solve the model to obtain the best monitoring scheme to ensure the security of network data transmission. The experimental results show that the proposed model can effectively reduce the data acquisition overhead and energy consumption, and improve the execution efficiency of the model. The maximum monitoring efficiency is 99.74%.

On the Performance Evaluations of Cooperative Retransmission Scheme for Cell-Edge Users of URLLC in Multi-Carrier Downlink NOMA Systems

Non-orthogonal multiple access (NOMA) has a key feature that the cell-center user (CCU) has prior information about the messages of the cell-edge user(CEU) in the same user-pair. It means that CCU can be used for retransmission when the CEU requests retransmission. As ultra-reliability and low-latency communication (URLLC) requires high-reliability constraints (e.g., 99.999%), using CCU for retransmission can be useful to satisfy the reliability constraint. In this study, to ensure the reliability of CEU, cooperative retransmission (CR) scheme for downlink NOMA systems is proposed. And the CR scheme is evaluated with Block error rate (BLER) considering reliability and with packet loss rate (PLR) in terms of reliability and latency constraints. And the evaluation results showed that the proposed CR scheme can satisfy the target BLER for URLLC low SNR compared to the conventional retransmission scheme, and showed the improved PLR compared to the conventional retransmission scheme in low SNRs.

Multivariate Weighted Isotonic Regressive Modest Adaptive Boosting Based Resource-Aware Routing In WSN

WSN includes a scenario where huge amount of sensor nodes are distributed to monitor environmental conditions with route collected data towards sinks via the internet. WSNs efficiently manage the wider network with available resources, such as residual energy and wireless channel bandwidth. Therefore, routing algorithm is important to enhance battery-constrained networks. Many existing techniques are developed for balancing consumption of energy but efficient routing was not achieved. Multivariate Weighted Isotonic Regressive Modest Adaptive Boosting based Resource Aware Routing (MWIRMAB-RAR) technique is introduced for enhancing routing. The MWIRMAB-RAR technique includes a different process namely resource-aware node selection, route path discovery, and data transmission. Initially, the MWIRMAB-RAR technique uses the Modest Adaptive Boosting technique uses the Multivariate Weighted Isotonic Regression function for detecting resource-efficient sensor nodes for effective data transmission. After that, multiple route paths are established based on the time of flight method. After establishes route path, source node sends data packets to sink node via resource-efficient nodes. The data delivery was enhanced and minimizes packet loss as well as delay. The simulation analysis is carried out on certain performance factors such as energy consumption, packet delivery ratio, packet loss rate, and delay with number of data packets and sensor nodes. The obtained evaluation indicates MWIRMAB-RAR outperforms well in terms of increasing data packet delivery and reduces consumption of energy, packet loss rate, and delay.

Service-Oriented Real-Time Smart Job Shop Symmetric CPS Based on Edge Computing

Symmetry is one of the most important notions in the digital twins-driven manufacturing cyber–physical system (CPS). Real-time acquisition of production data and rapid response to changes in the external environment are the keys to ensuring the symmetry of the CPS. In the service-oriented production process, in order to solve the problem of the service response delay of the production nodes in a smart job shop, a CPS based on mobile edge computing (MEC) middleware is proposed. First, the CPS and MEC for a service-oriented production process are analyzed. Secondly, based on MEC middleware, a CPS architecture model of a smart job shop is established. Then, the implementation of MEC middleware and application layer function modules are introduced in detail. By designing an MEC middleware model and embedding function modules such as data cache management, redundant data filtering, and data preprocessing, the ability of data processing is sunk from the data center to the data source. Based on that, the network performances, such as network bandwidth, packet loss rate, and delay, are improved. Finally, an experiment platform of the smart job shop is used to verify different data processing modes by comparing the network performance data such as bandwidth, packet loss rate, and response delay.

Equestrian Sports Posture Information Detection and Information Service Resource Aggregation System Based on Mobile Edge Computing

Equestrianism is a special sport. Equestrian sports have become popular in people’s lives and have also developed rapidly in our country, becoming a trend. This paper aims to study the equestrian sports posture information detection and information service resource aggregation system based on mobile edge computing. The research of equestrian sports can greatly promote future development. For this reason, we use the power of science and technology to study the equestrian sports posture and make an equestrian sports posture information detection system. The system is designed to feed back the riding posture in real time and can provide equestrian athletes with a more scientific and healthier equestrian training posture. In order to fully verify the practicability of the system, at the end of the forum, the performance of the entire monitoring platform was tested, and three tests were designed, respectively: packet loss rate test, driving test, and riding test. The driving test proves the validity of data transmission, and the riding test proves the practicability of the monitoring platform’s functions. The test results show that the maximum data packet loss rate is 0.6%, which can fully confirm that the monitoring platform has sufficient technical practicability, no problems have been found in practical applications, and it has good market and application prospects.