scholarly journals Quality of Service (QoS)-based Hybrid Optimization Algorithm for Routing Mechanism of Wireless Mesh Network

2021 ◽  
Vol 33 (8) ◽  
pp. 2565
Author(s):  
Tao Huang ◽  
Yuze Li
Keyword(s):  
Quality Of Service ◽  
Optimization Algorithm ◽  
Wireless Mesh Network ◽  
Mesh Network ◽  
Hybrid Optimization ◽  
Wireless Mesh ◽  
Hybrid Optimization Algorithm ◽  
Routing Mechanism

scholarly journals PERFORMANCE ANALYSIS AND QOS FRAMEWORK OF FLY WİRELESS NETWORK

2019 ◽  
Vol 01 (02) ◽  
pp. 103-115
Author(s):  
Durai Pandian M
Keyword(s):  
Quality Of Service ◽  
Performance Analysis ◽  
Wireless Network ◽  
Wireless Mesh Network ◽  
Environmental Changes ◽  
Mesh Networks ◽  
Access Point ◽  
Mesh Network ◽  
Wireless Mesh

The spread out of wireless mesh network has made possible the extended range of communication network that are impractical due to environmental changes in a wired access point, these wireless mesh network does not require much competence to set it up as it can be set very fast at a cheap rate, and the conveyancing of messages in it happens by selecting the shortest path, these wireless mesh built-in with irrepressible and invulnerable identities come with an endurance to temporary congestion and individual node failure. This results in an architecture providing a better coverage, flaw indulgent with higher bandwidth compared to other wireless distributed systems. But faces the limitation on power conservation. The battery activated mesh nodes loses their resources on perception, processing and transmission of the data’s, though these batteries or accumulators comes with energy regaining capability still draw backs show up as their nature of energy regaining are unexposed. So the performance analysis of fly wireless network which proposes a uninterrupted wireless mesh networks aims at providing a best measure of performance that is the best quality of service on the meshwork by providing an improved energy gleaning using potency segregation (IGPS) which empowers each node to have self- contained accumulation of energy achieving heightened adaption with energy consumption kept at a minimum. The gross functioning of the proposed is examined on the bases of delay and packet loss to prove the quality of service acquired.

scholarly journals Quality of Service (Qos) Neighbor Routing In Grid and Triangular Mesh Topologies of Wireless Mesh Network

2019 ◽  
Vol 8 (11) ◽  
pp. 588-599
Keyword(s):  
Quality Of Service ◽  
Queue Length ◽  
Wireless Mesh Network ◽  
Triangular Mesh ◽  
Mesh Network ◽  
Delivery Ratio ◽  
Net Energy ◽  
Wireless Mesh ◽  
Aodv Protocol

Quality of Service routing is constructing a route with enough resources for the QoS parameters. The routing protocols play a crucial part in providing quality service for Wireless Mesh Network (WMN). In this paper, the existing AODV protocol is enhanced to provide QoS in routing the packets as it may lead to node failure, congestion due to loss of energy and increased queue length. In the route construction process, initially the protocol focus on selecting a best forwarding node based on the node’s maximum net energy. Second, AODV is enhanced to construct a route by selecting a forwarding neighbor based on minimum queue length. Finally, the EEQ-AODV (Efficient Energy and Queue AODV) protocol selects the efficient path based on energy and queue length factors. The above mentioned tasks have been analyzed in Grid and Triangular Mesh topologies of Hybrid WMN architecture by considering the metrics Packet Delivery Ratio(PDR), dropped packets, average end-end delay, routing overhead and average throughput using NS-2. EEQ-AODV protocol is analyzed with the metrics energy consumed/packet and lifetime of the network

scholarly journals Scalable Design of Service Discovery Mechanism For Ad-hoc Network Using Wireless Mesh Network

2012 ◽  
pp. 95-99
Author(s):  
Faiyaz Ahmad ◽  
Saba Khalid
Keyword(s):  
Service Discovery ◽  
Wireless Mesh Network ◽  
Information Dissemination ◽  
Ad Hoc ◽  
Mesh Network ◽  
Seamless Connectivity ◽  
Wireless Mesh ◽  
Proposed Model ◽  
Scalable Design

Wireless Mesh Network is an emerging technology that allow users to access information and services electronically using service discovery protocol. The seamless connectivity and mobility feature of WMN motivated us in the design of efficient and scalable service discovery scheme that assures certain level of quality of service. The proposed model uses routing clients which communicate with Service Caches to register for services. The gateway nodes discovers quality services by using backbone based distributed directory structure. The proposed model is scalable and reduces discovery overhead, duplicate information dissemination, and energy consumption.

scholarly journals Routing in Wireless Mesh Network: A New Metaheuristic Based Routing Approach

2021 ◽  
Vol 23 (08) ◽  
pp. 711-719
Author(s):  
Bhanu Sharma ◽  
◽  
Amar Singh ◽  
Keyword(s):  
Optimization Algorithm ◽  
Wireless Mesh Network ◽  
Ad Hoc ◽  
Mesh Networks ◽  
Routing Algorithm ◽  
Mesh Network ◽  
Dynamic Nature ◽  
Wireless Mesh ◽  
Dynamic Source ◽  
Distance Vector

Routing is a challenging issue of WMNs due to the dynamic nature of the network. In WMNs, a node can leave or join the network at any time. So, there is a need for an efficient routing algorithm in WMNs that should quickly discover the path. The development of different networking environments has a significant effect on WMNs routing. This paper proposes a new Butterfly Optimization algorithm (BOA) based routing approach for Wireless Mesh Networks. The proposed BOA routing approach was implemented using MATLAB, and its performance was compared with Ad Hoc On-Demand Distance Vector(AODV), Ant Colony Optimization(ACO), BAT optimization algorithm, Dynamic Source Routing(DSR), and Biogeography-based optimization(BBO)based routing approaches on 500, 1000, 1500, and 2000 dynamic node scenarios. From the results, We observe that the proposed Butterfly based routing approach outperforms the existing five routing approaches.

scholarly journals Optimized Framework for QoS Efficient Routing Scheme in Wireless Mesh Network

2020 ◽  
Vol 9 (4) ◽  
pp. 1935-1941
Keyword(s):  
Routing Protocols ◽  
Traffic Management ◽  
Wireless Mesh Network ◽  
Cost Effective ◽  
Mesh Network ◽  
Wireless Mesh ◽  
Hidden Terminal ◽  
Traffic Scenario ◽  
Data Transmission System

Adoption of Wireless Mesh Network offers cost effective data transmission system; however, there is always a problems associated with larger scale of deployment where resource consumption is inevitable and beyond control. After reviewing the existing approaches toward improving the routing operation in Wireless Mesh Network, it has been seen that there are still a larger scope in improvement. Therefore, the proposed study introduces an optimized framework for quality of service that jointly works towards resolving hidden terminal problem as well as performs enhance data delivery in presence of challenging traffic scenario. The proposed system uses analytical modeling approach for channel occupancy is formulated and it performs computation of channel capacity. Further, an improved scheduling approach has been formulated in order to ensure superior saving of energy by considering various novel ranges of empirical parameters. Simulated in MATLAB, the proposed system highlights that it offers reduced delay, increased throughput, and highly controlled energy efficiency when compared with the existing routing protocols claims of traffic management in wireless mesh network.

scholarly journals A Hybrid Optimization Algorithm for Enhanced Web Services with QoS Measures in Cloud Computing.

2021 ◽  
Author(s):  
L Thenmozhi ◽  
N. Chandrakala
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Web Services ◽  
Optimization Algorithm ◽  
Optimization Techniques ◽  
Bald Eagle ◽  
Hybrid Optimization ◽  
Hybrid Optimization Algorithm ◽  
The Web

Abstract In the Environment of Big-Data analytics in world-wide, the cloud web-services were deployed in internet and Intranet domains. Moreover cloud computing possess the privileges and acquired rapid development, faces the trust complexities, privacy concepts and security issues which allows to implement the QoS measures in the optimization techniques in the web services selection. The study focusses on selection of component services and employing the efficient algorithm with end to end Quality of measures. The Data diversification and the service characteristics would decline the accuracy level of the measures. In this study a novel Qos measure web-services algorithm implemented the weight attributes and the subjective attributes. This study employs the novel hybrid-optimization algorithm in gaining the privileges of the search randomised-attributes and the implementation of IWO-invasive-weed algorithm. This study also focusses on the Calculation of Quality-of-service measures on the weights of the web-services attributes. Many researches have placed the Implementation of nature inspired concept for the optimization complexities in Big Data and thus employing Eagle-Perching Algorithm in the efficiency enhancement of cloud web-services. The evolution of BES- Bald Eagle-Search were utilized as the nature inspired approach would drive as the efficient technique for optimisation issues which imitates the bald-eagles behaviour. The results have been demonstrated the comparison of the performance metrics with the existing approaches to evaluate the proposed methodology.

QoS Provisioning for Multicast Routing and Channel Assignment in Wireless Mesh Network

2021 ◽  
pp. 1018-1036
Author(s):  
Abira Banik ◽  
Abhishek Majumder
Keyword(s):  
Quality Of Service ◽  
Wireless Mesh Networks ◽  
Channel Assignment ◽  
Multicast Routing ◽  
Mesh Networks ◽  
End Users ◽  
Mesh Network ◽  
Qos Provisioning ◽  
Wireless Mesh

The scope of development and research in the field of wireless mesh networks (WMN) is wide open and the focus has also been widened from simple channel assignment to multicast routing further moving towards providing quality of service (QoS) to the end users. The nodes in the network are of multi radio multi channel (MRMC) model. The efficiency of the network is termed as quality of service. For providing the QoS to the end users different techniques have been evolved which caters situations as QoS provisioning in the channel assignment phase, QoS provisioning in the multicast routing phase, and QoS provisioning in the channel assignment and multicast routing phase. This chapter presents a detailed study of QoS provisioning in WMN. It also classifies the techniques as: QoS provision in channel assignment, QoS provision in multicast routing and QoS provision in channel assignment as well as multicast routing.

scholarly journals Hybrid Optimization Driven RideNN for Software Reusability Estimation

2020 ◽  
Vol 8 (4) ◽  
Author(s):  
Ramu Vankudoth ◽  
◽  
Dr.Shireesha P ◽  
Keyword(s):  
Neural Network ◽  
Optimization Algorithm ◽  
Hybrid Optimization ◽  
Software Components ◽  
Estimation Model ◽  
Hybrid Optimization Algorithm ◽  
Software Reusability ◽  
Prime Concern ◽  
Over Time

Measuring the software reusability has become a prime concern in maintaining the quality of the software. Several techniques use software related metrics and measure the reusability factor of the software, but still face a lot of challenges. This work develops the software reusability estimation model for efficiently measuring the quality of the software components over time. Here, the Rider based Neural Network has been used along with the hybrid optimization algorithm for defining the reusability factor. Initially, nine software related metrics are extracted from the software. Then, a holoentropy based log function identifies the Measuring the software reusability has become a prime concern in maintaining the quality of the software. Several techniques use software related metrics and measure the reusability factor of the software, but still face a lot of challenges. This work develops the software reusability estimation model for efficiently measuring the quality of the software components over time. Here, the Rider based Neural Network has been used along with the hybrid optimization algorithm for defining the reusability factor. Initially, nine software related metrics are extracted from the software. Then, a holoentropy based log function identifies the normalized metric function and provides it to the proposed Cat Swarm Rider Optimization based Neural Network (C-RideNN) algorithm for the software reusability estimation. The proposed C-RideNN algorithm uses the existing Cat Swarm Optimization (CSO) along with the Rider Neural Network (RideNN) for the training purpose. Experimentation results of the proposed C-RideNN are evaluated based on metrics, such as Magnitude of Absolute Error (MAE), Mean Magnitude of the Relative Error (MMRE), and Standard Error of the Mean (SEM). The simulation results reveal that the proposed C-RideNN algorithm has improved performance with 0.0570 as MAE, 0.0145 as MMRE, and 0.6133 as SEM.

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