Improving the selection of MPRs in OLSR protocol: a survey of methods and techniques

Barki, Omar; Guennoun, Zouhair; Addaim, Adnane

doi:10.11591/ijece.v10i1.pp288-295

Cited by 7 publications

(5 citation statements)

References 13 publications

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“…Most of the literature focuses on improving OLSR by improving the MRP selection criteria [33] or willingness concept [34]. Barki et al [35] provides a brief survey of OLSR improvement based on MRP selection. Improving performance by tuning parameters is also an efficient method to enhance the protocol performance.…”

Section: Enhanced Optimized Link State Routing (E-olsr)mentioning

confidence: 99%

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

Tuli

Golam

Kim

et al. 2022

Drones

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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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Section: Enhanced Optimized Link State Routing (E-olsr)mentioning

confidence: 99%

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

Tuli

Golam

Kim

et al. 2022

Drones

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“…In summary, OLSR protocol is able to reduce the size of control packets by proactively providing paths immediately when needed and by using only selected multi-point relay nodes to forward messages [49]. Therefore, the protocol can significantly reduce network flooding and PLOS ONE retransmissions in broadcasts.…”

Section: Olsr Protocolmentioning

confidence: 99%

A multi-objective optimized OLSR routing protocol

Wei,

Wu,

et al. 2024

PLoS ONE

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The rapid development of mobile communication devices has brought challenges to wireless networks, where data packets are able to organize and maintain local area networks more freely without the constraints of wired devices. Scholars have developed diverse network protocols on how to ensure data transmission while maintaining its self-organizational nature. However, it is difficult for traditional network protocols to meet the needs of increasingly complex networks. In order to solve the problem that the better node set may not be selected when selecting the node set responsible for forwarding in the traditional OLSR protocol, a multi-objective optimized OLSR algorithm is proposed in this paper, which incorporating a new MPR mechanism and an improved NSGA-II algorithm. In the process of route discovery, the intermediate nodes responsible for forwarding packets are determined by the new MPR mechanism, and then the main parameters in the OLSR protocol are provided by the multi-objective optimization algorithm. Matlab was used to build a self-organizing network in this study. In addition, the conventional OLSR protocol, NSGA-II algorithm and multi-objective simulated annealing algorithm are selected to compare with the proposed algorithm. Simulation results show that the proposed algorithm can effectively reduce packet loss and end-to-end delay while obtaining better results in HV and Spacing, two multi-objective optimization result evaluation metrics.

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“…This section discussed the previously mentioned routing methods along with their limitations in terms of the route discovery process. Some of the table-driven routing protocols, like Optimized Link State Routing (OLSR) [34], [35], Mobility based OLSR (Mob-OLSR) [36], [37], and Fisheye State Routing (FSR) [38], [39], are developed based on link-state routing algorithm where nodes maintain link-state cost to their neighbouring nodes [40] Other routing protocols in this category, such as Destination Sequenced Distance Vector (DSDV) [41] and Wireless Routing Protocol (WRP) [42] developed based on distance vector routing were the shortest paths to a destination are checked and maintained periodically by every node.…”

Section: Literature Reviewmentioning

confidence: 99%

A Comparative Performance Evaluation of Routing Protocols for Mobile Ad-hoc Networks

Khudayer¹,

Al-Zabin²,

Anbar³

et al. 2023

IJACSA

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Mobile Ad Hoc Network (MANET) is a group of wireless mobile nodes that can connect with each other over a number of hops without the need for centralized management or pre-existing infrastructure. MANET has been used in several commercial areas such as intelligent shipping systems, ad hoc gaming, and clever agriculture, and non-commercial areas such as army applications, disaster rescue, and wildlife observing domains. One of the main challenges in MANET is routing mobility management which affects the performance of MANET seriously. The routing protocols have been functionally classified into proactive routing protocols, reactive routing protocols, and hybrid routing protocols. The objective of this paper is to create observations about the advantages and disadvantages of these protocols. Thus, the aim of this paper is to conduct a comparative analysis of the three groups of MANET routing protocols by comparing their features and methods in terms of routing overhead, scalability, delay, and other factors. It was shown that the proactive protocols guarantee the availability of the routes. However, it suffers from scalability and overhead. Whereas, reactive protocols initiate route discovery only when data needs to be sent. However, reactive protocols introduce an undesirable delay due to route establishment, which affects the network performance. Hybrid protocols, attempt to utilize the beneficial features of both reactive and proactive protocols, hybrid protocols are suitable for large networks and keep up-to-date information, but they increase operational complexity. It was concluded that MANET needs enhancement with regard to routing in order to meet the required performance.

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Improving the selection of MPRs in OLSR protocol: a survey of methods and techniques

Cited by 7 publications

References 13 publications

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

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

A multi-objective optimized OLSR routing protocol

A Comparative Performance Evaluation of Routing Protocols for Mobile Ad-hoc Networks

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