Highly efficient multipoint relay selections in link state QoS routing protocol for multi-hop wireless networks

Author(s):  
Takeaki Koga ◽  
Shigeaki Tagashira ◽  
Teruaki Kitasuka ◽  
Tsuneo Nakanishi ◽  
Akira Fukuda
Author(s):  
Takeaki KOGA ◽  
Shigeaki TAGASHIRA ◽  
Teruaki KITASUKA ◽  
Tsuneo NAKANISHI ◽  
Akira FUKUDA

2020 ◽  
Vol 17 (9) ◽  
pp. 4683-4687
Author(s):  
Yogesh Chaba ◽  
Mridul Chaba

Now days wireless networks have become popular as the mobile applications are increasing day by day and mobility of nodes has become an important feature. The desirable property which separates mobile network from wireless networks is the mobility of communication devices. Therefore, there is a need to design routing mechanism in such a way that they can easily adopt to the frequent changes in the mobility pattern of the network. In this paper, Optimized Link State Routing protocol has been modified by implementing Q-Learning concept, a reinforcement learning algorithm which guides network to select next node to which it should forward packets by first calculating the reward R and then calculation of Q-value with neighbors. Performance of this modified routing protocol has been evaluated for parameters like delay, throughput and delivery ratio. Two mobility models have been used, Random Waypoint and Walk. It is observed that performance in terms of above parameters improve considerably in both mobility patterns when intelligent Q-Learning algorithm is implemented in Optimized Link State Routing.


2021 ◽  
Author(s):  
Chandrashekhar Pomu Chavan ◽  
Pallapa Venkataram

Abstract This article describes the design and development of an efficient event-based link-state QoS routing protocol using an Event Condition Action (ECA) scheme by incorporating novel agent technology. The event-based link-state QoS routing protocol includes two types of agents like Optimized Link State Routing (OLSR) protocol acts as a static agent and Multi-Point Relays (MPR) acts as a mobile agent. The OLSR agent creates and dispatches MPR agents across the network. MPR agents migrate and visit every mobile node in the network hosted by an OLSR agent to accumulate and supply mobile node and network status information to the OLSR agent. The OLSR agent collates information about neighboring nodes and network status information from MPR agents and provides it to the ECA scheme to establish a QoS route to transmit reliable data from the originator to the intended target node. Based on the information provided by the OLSR agent, the ECA scheme selects an efficient QoS route based on metrics such as minimal bandwidth, less error rate, better throughput, minimal latency, and low mobility rate required for the applications (for instance, audio, video, image, etc.) during transmission. The proposed scheme is tested by considering different types of OLSR routing events. Eventually, we evaluated the performance and compared ECA-QoS-OLSR with conventional OLSR routing protocols and the simulation results reveal the effectiveness of the proposed ECA scheme.


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

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