QoS Routing Protocol Based on Resource Optimization for Aerospace Networks

2014 ◽  
Vol 596 ◽  
pp. 856-860
Author(s):  
Wei Qiang Wu ◽  
Bing Ni Luo ◽  
Pei Pei Chen ◽  
Qin Yu Zhang
Keyword(s):  
Routing Protocol ◽  
Network Performance ◽  
Optimal Path ◽  
Qos Routing ◽  
Resource Optimization ◽  
Network Resource ◽  
Shortest Path Routing ◽  
Routing Optimization ◽  
Real Time Traffic ◽  
Control Message

To guarantee the QoS of the various traffics and take good advantage of the network resource, the QoS routing protocol based on resource optimization is proposed. By the network state information dynamic update and the QoS routing optimization model design, the QoS routing protocol can provide the optimal path for real-time traffic, broadband traffic and best effort traffic in time with low control message cost. Simulation shown that, compared to the traditional shortest path routing, the QoS routing can satisfy the demand of traffics and can improve the network performance.

scholarly journals Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks

2021 ◽  
Vol 10 (4) ◽  
pp. 1-16
Author(s):  
Vinay Rishiwal ◽  
Preeti Yadav ◽  
Omkar Singh ◽  
B. G. Prasad
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Network Performance ◽  
Optimal Path ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Selection For

In recent era of IoT, energy ingesting by sensor nodes in Wireless Sensor Networks (WSN) is one of the key challenges. It is decisive to diminish energy ingesting due to restricted battery lifespan of sensor nodes, Objective of this research is to develop efficient routing protocol/algorithm in IoT based scenario to enhance network performance with QoS parameters. Therefore, keeping this objective in mind, a QoS based Optimized Energy Clustering Routing (QOECR) protocol for IoT based WSN is proposed and evaluated. QOECR discovers optimal path for sink node and provides better selection for sub-sink nodes. Simulation has been done in MATLAB to assess the performance of QOECR with pre-existing routing protocols. Simulation outcomes represent that QOECR reduces E2E delay 30%-35%, enhances throughput 25%-30%, minimizes energy consumption 35%-40%, minimizes packet loss 28%-32%, improves PDR and prolongs network lifetime 32%-38% than CBCCP, HCSM and ZEAL routing protocols.

scholarly journals Trust Based Multipath QoS Routing Protocol for Mission-Critical Data Transmission in Tactical Ad-Hoc Networks

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3330
Author(s):  
DooHo Keum ◽  
Jihun Lim ◽  
Young-Bae Ko
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocol ◽  
Network Performance ◽  
Ad Hoc ◽  
Qos Routing ◽  
Malicious Nodes ◽  
Critical Data ◽  
Mission Critical ◽  
Hoc Networks

In tactical ad-hoc networks, the importance of various tactical sensors and mission-critical data is increasing owing to their role in determining a tactical situation and ensuring the viability of soldiers. In particular, the reliability of mission-critical data has to be ensured for accurate situation determination and decision making. However, managing the network and trustworthiness in an environment where malicious nodes exist and a large amount of mission-critical data occur is a challenging issue. To solve these issues, a routing protocol is needed that can effectively detect malicious nodes and ensure the reliability and quality of service (QoS) of mission-critical data. In this paper, we propose a trust-based multipath QoS routing protocol (called MC_TQR) for tactical ad-hoc networks that can detect malicious nodes and satisfy the requirements of mission-critical data. The proposed scheme is verified using an OPNET simulator, and the results confirm the improved network performance when compared with existing schemes.

A QoS Routing Protocol Based on ACO in Wireless Multimedia Sensor Network

2013 ◽  
Vol 373-375 ◽  
pp. 317-322
Author(s):  
Jun Wan ◽  
La Yuan Li
Keyword(s):  
Sensor Networks ◽  
Routing Protocol ◽  
Routing Algorithm ◽  
Network Routing ◽  
Qos Routing ◽  
Wireless Multimedia ◽  
Ant System ◽  
Multimedia Sensor Networks ◽  
Routing Optimization ◽  
Elite Strategy

In view of the complexity, higher power consumption and other shortcomings of current wireless multimedia sensor networks (WMSN)QoS routing protocol algorithm, this paper proposes the Ant Colony Optimization (ACO) to improve the WMSN routing protocol. First of all, a routing model for multimedia sensor networks QoS was presented and then a routing algorithm (WMSN-ANT) was brought forward, which uses the network restrict condition to update the pheromone concentration. The forward ants (Fant) collects the link bandwidth, delay, packet loss rate and other parameters, along with the elite strategy for the ant system to update the local node of the network state model and the pheromone of each visited node in order to find the best routing under the conditions of multiconstrained QoS. The simulation results show that the algorithm is characterized by the distributed network routing optimization and has better convergence than the traditional QoS routing protocol and can significantly improve the network lifetime.

scholarly journals Optimizing Energy Consumption in IoT based Scalable Wireless Sensor Networks

2021 ◽  
Vol 10 (4) ◽  
pp. 0-0
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Network Performance ◽  
Optimal Path ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Selection For

In recent era of IoT, energy ingesting by sensor nodes in Wireless Sensor Networks (WSN) is one of the key challenges. It is decisive to diminish energy ingesting due to restricted battery lifespan of sensor nodes, Objective of this research is to develop efficient routing protocol/algorithm in IoT based scenario to enhance network performance with QoS parameters. Therefore, keeping this objective in mind, a QoS based Optimized Energy Clustering Routing (QOECR) protocol for IoT based WSN is proposed and evaluated. QOECR discovers optimal path for sink node and provides better selection for sub-sink nodes. Simulation has been done in MATLAB to assess the performance of QOECR with pre-existing routing protocols. Simulation outcomes represent that QOECR reduces E2E delay 30%-35%, enhances throughput 25%-30%, minimizes energy consumption 35%-40%, minimizes packet loss 28%-32%, improves PDR and prolongs network lifetime 32%-38% than CBCCP, HCSM and ZEAL routing protocols.

scholarly journals Neural Network Optimal Routing Algorithm Based on Genetic Ant Colony in IPv6 Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Weichuan Ni ◽  
Zhiming Xu ◽  
Jiajun Zou ◽  
Zhiping Wan ◽  
Xiaolei Zhao
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Network Performance ◽  
Ant Colony Algorithm ◽  
Routing Algorithm ◽  
Optimal Path ◽  
Optimal Solution ◽  
Ant Colony ◽  
Routing Optimization ◽  
Ipv6 Network

The traditional IPv6 routing algorithm has problems such as network congestion, excessive energy consumption of nodes, and shortening the life cycle of the network. In response to this phenomenon, we proposed a routing optimization algorithm based on genetic ant colony in IPv6 environment. The algorithm analyzes and studies the genetic algorithm and the ant colony algorithm systematically. We use neural network to build the initial model and combine the constraints of QoS routing. We effectively integrate the genetic algorithm and ant colony algorithm that maximize their respective advantages and apply them to the IPv6 network. At the same time, in order to avoid the accumulation of a lot of pheromones by the ant colony algorithm in the later stage of the network, we have introduced an anticongestion reward and punishment mechanism. By comparing the search path with the optimal path, rewards and punishments are based on whether the network path is smooth or not. Finally, it is judged whether the result meets the condition, and the optimal solution obtained is passed to the BP neural network for training; otherwise, iterative iterations are required until the optimal solution is satisfied. The experimental results show that the algorithm can effectively adapt to the IPv6 routing requirements and can effectively solve the user’s needs for network service quality, network performance, and other aspects.

scholarly journals Study on Multi-Priority and Multi-Path QoS Routing Protocol for Airborne Heterogeneous Networks

2019 ◽  
Vol 37 (4) ◽  
pp. 851-856
Author(s):  
Jin Guo ◽  
Shengbing Zhang ◽  
Bo Zheng ◽  
Hengyang Zhang ◽  
Weilun Liu
Keyword(s):  
Routing Protocol ◽  
Optimization Theory ◽  
Qos Routing ◽  
Network Resource ◽  
Preemptive Resume ◽  
Flexible Networks ◽  
Multiple Services ◽  
Simulation Results ◽  
Cost Penalty ◽  
Route Cost

In order to guarantee the QoS requirements of multiple services in airborne all-domain heterogeneous and flexible networks, we propose a novel multi-priority and multi-path based QoS routing (MP2R) protocol in this paper. In the protocol, in terms of the route effectiveness and reliability, the route cost penalty function is constructed based on the multi-priority M/M/1 queueingqueuing system with the preemptive-resume policy. The minimum value of the function is derived through the optimization theory, and the optimum routing solution is acquired. The simulation results show that the MP2R protocol not only has the capabilities of differentiation services for different kinds of traffic and QoS provision, but also can utilize the network resource rationally, avoid congestion, achieve the load balancing, and meet the requirements of airborne all-domain heterogeneous and flexible networks effectively.

A QoS Routing Protocol for Cognitive Networks

2014 ◽  
Vol 36 (9) ◽  
pp. 1807-1815 ◽  
Author(s):  
Xiao-Min XIE ◽  
Xing-Wei WANG ◽  
Zhan-Kao WEN ◽  
Min HUANG
Keyword(s):  
Routing Protocol ◽  
Qos Routing ◽  
Cognitive Networks

A Bandwidth and Energy Aware QoS Routing Protocol for Enhanced Performance in Ad-hoc Networks

2019 ◽  
Vol 9 (2) ◽  
pp. 203-213
Author(s):  
Priyanka Bharadwaj ◽  
Surjeet Balhara
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Qos Routing ◽  
Delivery Ratio ◽  
Energy Aware ◽  
Multimedia Services ◽  
Average Delay ◽  
Hoc Networks

Background & Objective: There are some challenging issues such as providing Quality of Service (QoS), restricted usage of channels and shared bandwidth pertaining to ad-hoc networks in a dynamic topology. Hence, there is a requirement to support QoS for the application environment and multimedia services in ad-hoc networks with the fast growing and emerging development of information technology. Eventually, bandwidth is one of the key elements to be considered. Methods: Energy aware QoS routing protocol in an ad-hoc network is presented in this article. Results and Conclusion: The simulation results indicate that the improved protocol outperforms Adhoc On-Demand Distance Vector (AODV) routing protocol in terms of QoS metric such as throughput, packet delivery ratio, loss rate and average delay.

scholarly journals An experimental publish-subscribe monitoring assessment to Beyond 5G networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Ramon Perez ◽  
Jaime Garcia-Reinoso ◽  
Aitor Zabala ◽  
Pablo Serrano ◽  
Albert Banchs
Keyword(s):  
Mobile Networks ◽  
Network Performance ◽  
Evaluation Process ◽  
Computing System ◽  
Distributed Monitoring ◽  
Distributed Environment ◽  
Real Time Traffic ◽  
Fifth Generation ◽  
Cloud Computing System ◽  
Multi Stakeholder

AbstractThe fifth generation (5G) of mobile networks is designed to accommodate different types of use cases, each of them with different and stringent requirements and key performance indicators (KPIs). To support the optimization of the network performance and validation of the KPIs, there exist the necessity of a flexible and efficient monitoring system and capable of realizing multi-site and multi-stakeholder scenarios. Nevertheless, for the evolution from 5G to 6G, the network is envisioned as a user-driven, distributed Cloud computing system where the resource pool is foreseen to integrate the participating users. In this paper, we present a distributed monitoring architecture for Beyond 5G multi-site platforms, where different stakeholders share the resource pool in a distributed environment. Taking advantage of the usage of publish-subscribe mechanisms adapted to the Edge, the developed lightweight monitoring solution can manage large amounts of real-time traffic generated by the applications located in the resource pool. We assess the performance of the implemented paradigm, revealing some interesting insights about the platform, such as the effect caused by the throughput of monitoring data in performance parameters such as the latency and packet loss, or the presence of a saturation effect due to software limitations that impacts in the performance of the system under specific conditions. In the end, the performance evaluation process has confirmed that the monitoring platform suits the requirements of the proposed scenarios, being capable of handling similar workloads in real 5G and Beyond 5G scenarios, then discussing how the architecture could be mapped to these real scenarios.

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