Feasible QoS Routing for Ubiquitous Network

2021 ◽  
Author(s):  
Chandrashekhar Pomu Chavan ◽  
Pallapa Venkataram
Keyword(s):  
Routing Protocol ◽  
Mobile Node ◽  
Qos Routing ◽  
Link State ◽  
Status Information ◽  
Network Status ◽  
Event Based ◽  
Audio Video ◽  
Optimized Link State Routing ◽  
Ubiquitous Network

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.

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.

Period Size Self Tuning to Enhance Routing in MANETs

2010 ◽  
Vol 6 (4) ◽  
pp. 21-37 ◽  
Author(s):  
Mohamed Amine Abid ◽  
Abdelfettah Belghith
Keyword(s):  
Routing Protocol ◽  
Fast Moving ◽  
Link State ◽  
High Speeds ◽  
Self Tuning ◽  
End To End ◽  
Optimized Link State Routing ◽  
High Node ◽  
Signaling Traffic

In this paper, the authors propose a novel routing protocol driven by an asynchronous distributed cartography gathering algorithm. Each node senses its own dynamics and chooses locally an appropriate routing period size. As such stationary nodes generate little signaling traffic; fast moving nodes choose small routing periods to mitigate the effect of their mobility. Moreover, every node integrates a self regulating process that dynamically and constantly calibrates the chosen routing period to track changes in its dynamics. The performances of this proposed routing protocol are evaluated and compared to the known Optimized Link State Routing (OLSR) protocol through extensive simulations. The paper shows that the collected network cartography maintains a validity ratio near 100% even for high node speeds. The authors illustrate that the proposed routing protocol provides around 97% routing validity while the OLSR can hardly deliver more than 60% at moderate to high speeds and workloads. Finally, the protocol provides better throughput than OLSR, reaching a 50% increase at moderate to high speeds and workloads far less end-to-end delays.

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