scholarly journals Multi-Objective Optimization Assisted Network Condition Aware QoS-Routing Protocol for MANETs: MNCQM

2019 ◽  
Author(s):  
Shashi Raj K ◽  
Siddesh G. K.
Keyword(s):  
Routing Protocol ◽  
Qos Routing ◽  
Multi Objective Optimization ◽  
Network Condition ◽  
Multi Objective

scholarly journals QoS Routing in Ad-Hoc Networks Using GA and Multi-Objective Optimization

2011 ◽  
Vol 7 (3) ◽  
pp. 169-188 ◽  
Author(s):  
Admir Barolli ◽  
Evjola Spaho ◽  
Leonard Barolli ◽  
Fatos Xhafa ◽  
Makoto Takizawa
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Heuristic Algorithms ◽  
Routing Algorithm ◽  
Genetic Load ◽  
Search Space ◽  
Qos Routing ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Hoc Networks

Much work has been done on routing in Ad-hoc networks, but the proposed routing solutions only deal with the best effort data traffic. Connections with Quality of Service (QoS) requirements, such as voice channels with delay and bandwidth constraints, are not supported. The QoS routing has been receiving increasingly intensive attention, but searching for the shortest path with many metrics is an NP-complete problem. For this reason, approximated solutions and heuristic algorithms should be developed for multi-path constraints QoS routing. Also, the routing methods should be adaptive, flexible, and intelligent. In this paper, we use Genetic Algorithms (GAs) and multi-objective optimization for QoS routing in Ad-hoc Networks. In order to reduce the search space of GA, we implemented a search space reduction algorithm, which reduces the search space for GAMAN (GA-based routing algorithm for Mobile Ad-hoc Networks) to find a new route. We evaluate the performance of GAMAN by computer simulations and show that GAMAN has better behaviour than GLBR (Genetic Load Balancing Routing).

Hybrid Multi-Objective-Optimization Algorithm for Energy Efficient Priority-based QoS Routing in IoT networks

2021 ◽  
Author(s):  
THEN MOZHI
Keyword(s):  
Optimization Algorithm ◽  
Energy Efficient ◽  
Fitness Function ◽  
Optimization Technique ◽  
Qos Routing ◽  
Traffic Load ◽  
Delivery Ratio ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
End To End

The growing requirement for real-time Internet of Things (IoT) applications has ended with Quality of Service (QoS) communication protocols. where heterogeneous IoT data collection and communication processing contains specific requirements in terms of energy, reliability, latency, and priority. Due to energy constraints, a proper estimation model for monitoring and control is accomplished by the objective of sensing and end-to-end communication respectively. moreover, the connectivity requires a QoS routing protocol to finding the route selection for sensor networks. Hence, data routing and prioritization and Satisfying the QoS requirements are the significant challenges in such networks. So for the Multi-objective Optimization for QoS Routing method is used for differentiating the traffics while data communication and gives the requirements to be caring about the network resource. In this paper, the Energy-Efficient Priority-based Multi-Objective QoS routing (PMQoSR) mechanism ensures the energy and Qos in IoT networks. the proposed system regulates the routing performance based on the QoS parameters, using optimization technique for three hybrid algorithms, named as WLFA- Whale Lion Fireworks optimization algorithm with Fitness Function Routing(FFR) mechanisms .the WLFA to prevent congestion and minimizes the localization error using and select the shortest routing path through the network period uses Priority label and time delay patterns when sending data to the destination. We evaluate its performance and existing competing schemes in terms of Energy-Efficient. The results demonstrate that PMQoSR holds out considering network traffic, packets forwarding, error rate, energy, and distance between the nodes and also considers priority-aware routing to improve the traffic load, throughput, end-to-end delay, and packet delivery ratio when compared with the existing systems.

Application of GA and Multi-objective Optimization for QoS Routing in Ad-Hoc Networks

2011 ◽  
Author(s):  
Admir Barolli ◽  
Evjola Spaho ◽  
Fatos Xhafa ◽  
Leonard Barolli ◽  
Makoto Takizawa
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Qos Routing ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Hoc Networks

QoS Routing Algorithms based on Multi-Objective Optimization for Mesh Networks

2011 ◽  
Vol 9 (5) ◽  
pp. 875-881 ◽  
Author(s):  
Miguel Camelo ◽  
Carlos Omana ◽  
Harold Castro
Keyword(s):  
Mesh Networks ◽  
Qos Routing ◽  
Routing Algorithms ◽  
Multi Objective Optimization ◽  
Multi Objective

scholarly journals Erratum to “QoS Routing in Ad-Hoc Networks Using GA and Multi-Objective Optimization”

2011 ◽  
Vol 7 (4) ◽  
pp. 361-361
Author(s):  
Admir Barolli ◽  
Evjola Spaho ◽  
Leonard Barolli ◽  
Fatos Xhafa ◽  
Makoto Takizawa
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Qos Routing ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Hoc Networks

scholarly journals QMR:Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks

2020 ◽  
Vol 150 ◽  
pp. 304-316 ◽  
Author(s):  
Jianmin Liu ◽  
Qi Wang ◽  
ChenTao He ◽  
Katia Jaffrès-Runser ◽  
Yida Xu ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Hoc Networks
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