A BAT in the Lab: Experimental Results of New Link State Routing Protocol

2008 ◽  
Author(s):  
Makoto Ikeda ◽  
Giuseppe De Marco ◽  
Leonard Barolli ◽  
Makoto Takizawa
Keyword(s):  
Routing Protocol ◽  
Experimental Results ◽  
Link State

A New MSLBOLSR Routing Algorithm

2014 ◽  
Vol 1044-1045 ◽  
pp. 1003-1006
Author(s):  
Hong Zhang ◽  
Jun Hu ◽  
Lei You
Keyword(s):  
Time Delay ◽  
Routing Protocol ◽  
Routing Algorithm ◽  
Experimental Results ◽  
Application Layer ◽  
Link Layer ◽  
Link State ◽  
Network Load ◽  
Optimized Link State Routing ◽  
Load Balanced

In Optimized Link State Routing Protocol, the choice of Multi-Point Relays is based on connectivity. Based on the connection time, this paper chooses MPR by taking reference in the degree of congestion of link layer of nodes while making a balanced processing of network load. The experimental results have shown that the improved MSLBOLSR(Multidimensional Sense and Load Balanced OLSR) protocol has advanced visibly in terms of the leisure degree of application layer and the time-delay, etc.

Multipoint Relay Selections with QoS Support in Link State Routing Protocol for Multi-Hop Wireless Networks

2009 ◽  
Vol E92-A (9) ◽  
pp. 2218-2226
Author(s):  
Takeaki KOGA ◽  
Shigeaki TAGASHIRA ◽  
Teruaki KITASUKA ◽  
Tsuneo NAKANISHI ◽  
Akira FUKUDA
Keyword(s):  
Wireless Networks ◽  
Routing Protocol ◽  
Link State

scholarly journals Performance Analysis of Location-Aware Grid-Based Hierarchical Routing Protocol for Mobile Ad Hoc Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Farrukh Aslam Khan ◽  
Wang-Cheol Song ◽  
Khi-Jung Ahn
Keyword(s):  
Performance Analysis ◽  
Mobile Ad Hoc Networks ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Hierarchical Routing ◽  
Link State ◽  
Location Aware ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Grid Based

In this paper, the performance analysis of a hierarchical routing protocol for mobile ad hoc networks (MANETs) called Location-aware Grid-based Hierarchical Routing (LGHR) is performed. In LGHR, the network comprises nonoverlapping zones and each zone is further partitioned into smaller grids. Although LGHR is a location-aware routing protocol, the routing mechanism is similar to the link-state routing. The protocol overcomes some of the weaknesses of other existing location-based routing protocols such as Zone-based Hierarchical Link State (ZHLS) and GRID. A detailed analysis of the LGHR routing protocol is performed and its performance is compared with both the above-mentioned protocols. The comparison shows that LGHR works better than ZHLS in terms of storage overhead as well as communication overhead, whereas LGHR is more stable than GRID especially in scenarios where wireless nodes are moving with very high velocities.

scholarly journals Performance Enhancement of Optimized Link State Routing Protocol by Parameter Configuration for UANET

Drones ◽  
2022 ◽  
Vol 6 (1) ◽  
pp. 22
Author(s):  
Esmot Ara Tuli ◽  
Mohtasin Golam ◽  
Dong-Seong Kim ◽  
Jae-Min Lee
Keyword(s):  
Routing Protocol ◽  
Ad Hoc ◽  
Performance Enhancement ◽  
Geographic Routing ◽  
Simulation Software ◽  
Link State ◽  
Parameter Configuration ◽  
Hoc Networks ◽  
Dynamic Attributes ◽  
Optimized Link State Routing

The growing need for wireless communication has resulted in the widespread usage of unmanned aerial vehicles (UAVs) in a variety of applications. Designing a routing protocol for UAVs is paramount as well as challenging due to its dynamic attributes. The difficulty stems from features other than mobile ad hoc networks (MANET), such as aerial mobility in 3D space and frequently changing topology. This paper analyzes the performance of four topology-based routing protocols, dynamic source routing (DSR), ad hoc on-demand distance vector (AODV), geographic routing protocol (GRP), and optimized link state routing (OLSR), by using practical simulation software OPNET 14.5. Performance evaluation carries out various metrics such as throughput, delay, and data drop rate. Moreover, the performance of the OLSR routing protocol is enhanced and named “E-OLSR” by tuning parameters and reducing holding time. The optimized E-OLSR settings provide better performance than the conventional request for comments (RFC 3626) in the experiment, making it suitable for use in UAV ad hoc network (UANET) environments. Simulation results indicate the proposed E-OLSR outperforms the existing OLSR and achieves supremacy over other protocols mentioned in this paper.

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