Introduction to Qos Aware

What is/are Qos Aware?

Qos Aware - The proposed model is compared with another actor-critic model and with other traditional schedulers; proportional fair (PF) and Channel and QoS Aware (CQA) techniques. ^[1] And also the framework on how to overcome the unique challenges occurred in the spectrum management like interference avoidance, QoS awareness and seamless communication. ^[2] To achieve a practical solution, we propose a relay-assisted and QoS aware (RAQS) scheduling scheme for the backhaul networks, called RAQS. ^[3] We are especially interested in the QoS aware of asynchronous duty-cycled WSNs in the light of designing routing protocol, whereby waiting for latency and malicious packet dropping are critical to the network performance. ^[4] Subsequently, proposed Hybrid Energy Efficient and QoS Aware (HEEQA) algorithm is a combination of quantum particle swarm optimization (QPSO) along with improved non dominated sorting genetic algorithm (NGSA) to achieve energy balance among the devices is proposed and later the MAC layer parameters are tuned to reduce the further energy consumption of the devices. ^[5] Indeed, thanks to the high level of flexibility and programmability of SDN, different improvements of the existing Pub/Sub middlewares could be enabled: QoS awareness, mobility management, etc. ^[6]

New Qos Aware

In this paper, we propose a new QoS aware flow management based on the SDN technique and Ant optimization algorithm in the scenario of Fog computing. ^[1] The growth and attention towards the designing of many new QoS aware routing protocol for WSN has been increased for the past few decades. ^[2]

Proposed Qos Aware

The proposed QoS Aware-ICN (QoSA-ICN) classifies requests' priority with their QoS requirements by codifying a QoSInfo object in interest/data packets. ^[1] The proposed QoS aware Multi-Constrained Node Disjoint Multipath Routing (QMCNDMR) protocol is based on Triangle link quality metric Multipath Routing (TIGMR) protocol wherein the multiple node-disjoint route through the forwarding node is searched based on the calculation of the triangle quality metric, distance, remaining and energy to avoid the path interference between the paths. ^[2]

Novel Qos Aware

In the proposed work a novel QoS Aware Multi Path scheduling algorithm for smooth CAC in wireless mobile networks. ^[1] Depending upon Primary user (PU) temporal activity and required Quality of Service (QoS) by wireless devices, in this paper, we propose a novel QoS aware algorithm that can substantially reduce TTR of all the existing rendezvous algorithms. ^[2]

Optimal Qos Aware

For further improvements, we recommend an optimal QoS aware routing technique for smart cities using IoT enabled wireless sensor networks (OQR-SC). ^[1] This work proposes an energy efficient and optimal QoS aware multi-path routing protocol based on EHO (Elephant Herding Optimization) algorithm and trust called EHO-ETQRP for IoT (Internet of Things) based WSNs (Wireless Sensor Networks). ^[2]

qos aware routing

For further improvements, we recommend an optimal QoS aware routing technique for smart cities using IoT enabled wireless sensor networks (OQR-SC). ^[1] In this paper, we propose a QoS aware routing protocol which uses a combination of delay and energy aware routing with data aggregation and multichannel communication in order to reduce the energy consumption, reduce the end-to-end delay and improve the network throughput. ^[2] Imaging and data transmission needs both QoS aware routing and energy to ensure the efficient use of sensors. ^[3] The growth and attention towards the designing of many new QoS aware routing protocol for WSN has been increased for the past few decades. ^[4] Finally, a QoS aware routing protocol for mesh networks has been proposed. ^[5] There were several QoS aware routing protocol that has been proposed which implements multiple queues for different types of data. ^[6] Another challenging issue in WSNs is the QoS support and therefore QoS aware routing protocol have gained much attention in the recent few years. ^[7] The simulation results reveal that fuzzy RTS algorithm is most appropriate reinforcement learning-based routing algorithm among given algorithms for ensuring energy efficient and QoS aware routing in dynamically changing, asymmetric and unreliable environment of WSNs. ^[8] This multi-facet, QoS aware routing protocol routes the data through good quality links having reliable nodes en-route and avoids hotspot regions. ^[9] One of the important aspects of QoS aware routing protocols in WSNs is to send the delay sensitive data to a control station known as sink. ^[10] Design/methodology/approach In this paper, the authors proposed a multi-path selection scheme for QoS aware routing in mobile ad hoc network based on fractional cuckoo search algorithm (FCS-MQARP). ^[11] This paper presents a fuzzy logic-based, service differentiated, QoS aware routing protocol (FMSR) offering multipath routing for WSNs, with the purpose of providing a service differentiated path meant for communication between nodes, based on actual requirements. ^[12]

qos aware energy

To address these issues, an ant colony optimization based QoS aware energy balancing secure routing (QEBSR) algorithm for WSNs is proposed in this article. ^[1] Finally, the performance of the protocol is evaluated through simulations and provided a comparison with Multi-priority QoS MAC (MPQ-MAC), QoS Aware Energy-Efficient MAC (QAEE-MAC) and Energy Harvested Receiver Initiated MAC (ERI-MAC) protocols. ^[2] Mathematic analysis and simulation show that our proposed Priority MAC protocol for Multi-Event wireless sensor network (PMME) protocol with different $\boldsymbol{p}$ values significantly reduce packet delay to all four priority packets and keep high packet success rate compared to other two priority MAC protocols named QoS aware energy-efficient (QAEE) and Multi-priority based QoS (MPQ) in multievent WSNs. ^[3]

qos aware multus

In the proposed work a novel QoS Aware Multi Path scheduling algorithm for smooth CAC in wireless mobile networks. ^[1] This work proposes an energy efficient and optimal QoS aware multi-path routing protocol based on EHO (Elephant Herding Optimization) algorithm and trust called EHO-ETQRP for IoT (Internet of Things) based WSNs (Wireless Sensor Networks). ^[2] The proposed QoS aware Multi-Constrained Node Disjoint Multipath Routing (QMCNDMR) protocol is based on Triangle link quality metric Multipath Routing (TIGMR) protocol wherein the multiple node-disjoint route through the forwarding node is searched based on the calculation of the triangle quality metric, distance, remaining and energy to avoid the path interference between the paths. ^[3]

qos aware service

Besides, the proposed Q-routing with Net-AI-Gym offers optimization in exploring the path to support multi-QoS aware services in the different networking applications. ^[1] QoS aware service composition aims to satisfy user's QoS needs during service composition. ^[2]

qos aware web

Originality/value In this paper, the authors have developed a population-based novel approach (OL-FOA) for the QoS aware web services selection (WSS). ^[1] The goal of QoS aware web service composition (QoS-WSC) is to provide new functionalities and find a best combination of services to meet complex needs of users. ^[2]

qos aware resource

As a solution we have proposed a QoS aware resources allocation policy using user rating implicit feedback in Mobile Edge Computing (MEC) for IoT to overcome the delay of the service. ^[1] Furthermore, an inter-session coordination by means of cluster formation is proposed which enables resource pool sharing among sessions to allow for QoS aware resource allocation. ^[2]