Modified Optimized Link State Routing (M-OLSR) for Wireless Mesh Networks

2008 ◽  
Author(s):  
Amrita Bose Paul ◽  
Sukumar Nandi
Keyword(s):  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Link State ◽  
Wireless Mesh ◽  
Optimized Link State Routing

Routing and Coding Enhancements to Improve QoS of Video Transmissions in Future Ad Hoc Networks

2012 ◽  
pp. 244-261
Author(s):  
Juan C. Guerri ◽  
Pau Arce ◽  
Patricia Acelas ◽  
Wilder E. Castellanos ◽  
Francisco Fraile
Keyword(s):  
Ad Hoc Networks ◽  
Wireless Mesh Networks ◽  
Ad Hoc ◽  
Mesh Networks ◽  
Hierarchical Routing ◽  
Link State ◽  
Wireless Mesh ◽  
Hoc Networks ◽  
Optimized Link State Routing

Video services are much demanded nowadays but bandwidth and delay requirements of this kind of services are very restrictive. Offering real-time video services in wireless ad-hoc networks is not an easy task because of the difficulty of guaranteeing certain quality in a shared medium. Practical solutions should try to improve communications at (and gathering information from) several layers of the protocol stack. Mobile Ad-hoc Networks are infrastructure-less wireless networks characterized by being very versatile, dynamic and self-organized but also by the difficulty to achieve a good Quality of Service in video transmissions due to packet losses and node mobility. On the other hand, the Wireless Mesh Network is presented as the next step in wireless networks. Wireless Mesh Networks have a hierarchical topology, clustered structure and static backbone, which all help to improve the network stability. In the way towards Wireless Mesh Networks, hierarchical routing protocols could transform an ad-hoc network in a more robust wireless network. Therefore, in this chapter, hierarchical routing protocols have been studied, particularly Hierarchical Optimized Link State Routing Protocol, and compared with a traditional flat routing protocol named Optimized Link State Routing. Furthermore, additional video coding techniques have been used in order to improve video quality in reception. At application layer, results show that Multi-description Coding achieves better quality on video transmissions when nodes have medium or high mobility, especially when using multipoint-to-point transmission or disjoint paths in a hierarchical structure. Video trace simulations have allowed us to perform subjective quality tests to assert the Quality of Experience improvements in video transmissions.

scholarly journals Buffer occupancy and link state opportunistic routing for wireless mesh networks

2021 ◽  
Author(s):  
Jean-Baptiste Bordier ◽  
Christopher Merlhe ◽  
Philippe Fabian ◽  
Sébastien Baey ◽  
Dylan Garnaud ◽  
...  
Keyword(s):  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Opportunistic Routing ◽  
Link State ◽  
Buffer Occupancy ◽  
Wireless Mesh

scholarly journals Analisis Routing Protokol Optimized Link State Routing (OLSR) Pada Raspberry Pi

AITI ◽  
2020 ◽  
Vol 16 (2) ◽  
pp. 151-164
Author(s):  
Ulfa Septilia Permatasari ◽  
Indrastanti Ratna Widiasari
Keyword(s):  
Routing Protocol ◽  
Wireless Mesh Network ◽  
Mobile Ad Hoc Network ◽  
Mesh Networks ◽  
Mesh Network ◽  
Raspberry Pi ◽  
Self Healing ◽  
Link State ◽  
Wireless Mesh ◽  
Optimized Link State Routing

Optimized Link State Routing (OLSR)is one of the two standard for mesh networks. OLSR is a link state routing protocol, which use hallo message and topology control (TC) to determine the link state information across the mobile ad-hoc network. OLSR is widely used in the wireless mesh network. Raspberry Pi is a mini computer which can be used as a node router to replace the function of a router in a wireless mesh network. In this research, Raspberry Pi is used as a router nodes to determine the performance of routing protocol OLSR. The parameters used to measure its performance is self-configure time, self-healing and bandwidth usage. The test results showed that the use of routing protocols OLSR on the Raspberry Pi in a wireless mesh network proved able to repair itself if there is a problem on the network since it has ability to self-configure and self-healing.

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