Performance analysis of Extended Weighted Cumulative Expected Transmission Time (xWCETT) routing protocol in cognitive radio wireless mesh networks

Kola, Lesiba Morries; Velempini, Mthulisi

doi:10.1109/icacce.2016.8073726

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…Several reactive routing algorithms are considered in MCRAHNs however only the two bestperforming algorithms according to the literature are compared to our proposed scheme (Kola & Velempini, 2016. The algorithms are the Multi-cast On-Demand Distance Vector algorithm (MAODV) (Jhajj et al, 2019), and the Extended Weight Cumulative Expected Transhttps://doi.org/10.18489/sacj.v35i2.17389 mission Time (xWCETT) (Kola & Velempini, 2018).…”

Section: Resultsmentioning

confidence: 99%

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Spectrum-Aware Transitive On-Demand Routing Protocol for Military Cognitive Radio Ad Hoc Networks

Phaswana,

Velempini

2023

S AFR COMP J

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The advancement of wireless technology is increasing the demand for scarce spectrum. Cognitive radio ad hoc networks (CRAHNs) were proposed as a solution to spectrum scarcity which is also deployed in combat. However, military cognitive radio ad-hoc networks (MCRAHNs) are subject to destruction and frequent link breakages. The challenge with MCRAHNs routing is the timing-out of packets. This paper proposes the spectrum-aware transitive multi-cast on-demand distance vector (SAT-MAODV), optimised for throughput and delay. The relay nodes are selected based on zonal data and mobility. This is achieved through handshaking and sharing of location data. The nodes are expected to store location data of nodes encountered, which is used in routing and in determining the movement of the node. The mobility of military nodes is organised and structured, which simplifies routing. The SAT-MAODV was evaluated in network simulator 2 and the results show that the scheme is effective. UsingSAT-MAODV instead of xWCETT reduced routing path and node relay delay by at least 65% and 13% respectively, and increased achievable throughput by 31%. It also improved the delivery ratio by 9% while reducing latency by 27% in comparison with MARSA.

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Section: Resultsmentioning

confidence: 99%

“…Figure 2 depicts the first set of simulation results: The performance of the xWCETT scheme is evaluated against MAODV to ascertain which is a better scheme. This was necessary because xWCETT was compared with WCETT and AODV (Kola & Velempini, 2016. MAODV is the improvement of AODV as such, there is a need for such investigation.…”

Section: Resultsmentioning

confidence: 99%

Spectrum-Aware Transitive On-Demand Routing Protocol for Military Cognitive Radio Ad Hoc Networks

Phaswana,

Velempini

2023

S AFR COMP J

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“…Note that, the period a probe messages needs to communicate between two neighboring nodes is stored in the Metric field. Some remaining fields are explained similarly in [18]. The proposed agents correspond to two tasks: information request and information response.…”

Section: Figure 2 the Operational Model Of The Agentmentioning

confidence: 99%

“…Therefore, many studies have been done to improve availability and reliability in MANET [2,5]. Through the related studies [6][7][8][9][10][11][12][13][14][15][16][17][18][19][21][22][23][24][25] showed that how to use mobile agent technology with the intention of improving the performance of MANET becomes an increasingly exciting research topic. The specific solution is to integrate mobile agents into the control of routing protocols in MANET to improve the overall performance of the system.…”

Section: Introductionmentioning

confidence: 99%

An Improved Agent-Based AODV Routing Protocol for MANET

Nguyen¹,

Nam²,

Linh³

et al. 2021

EAI Endorsed Transactions on Industrial Networks and Intelligen

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The mobile ad-hoc network (MANET) is a special mobile network that has self-configuration and self-establish abilities to communicate conveniently. MANET is forming mobile devices such as mobile phones, personal digital assistants (PDAs), laptops, etc. As a result of the rapid, flexibility, and facilitate in communication, nowadays, MANET has revolutionized many real-life applications, ranging from smart agriculture and smart cities to forest fire detection systems, and expected to have vital contributions into the future of the Internet. However, due to the mobile nature of network nodes combined with the network architecture that without relying on central devices pre-installed such as base stations, the high-performance routing problem is one of the most significant challenges in the MANET environment. In this study, we propose a highperformance routing protocol, namely agent-based ad-hoc on-demand distance vector (A-AODV), to select the optimal route with high throughput and low latency. Through the developed routing algorithm, we explain how the suitable route with the lowest cost based on agents. To demonstrate the effectiveness of the proposed protocol, we compared A-AODV's performance with two well-known traditional protocols on NS2. Simulation results show that A-AODV improves superior performance over the traditional protocols.

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Paper Spectrum-Aware Transitive Multicast on Demand Distance Vector Routing for Military Cognitive Radio Ad Hoc Networks

Phaswana

Velempini

2019

2019 Ieee Africon

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Performance analysis of Extended Weighted Cumulative Expected Transmission Time (xWCETT) routing protocol in cognitive radio wireless mesh networks

Cited by 4 publications

References 17 publications

Spectrum-Aware Transitive On-Demand Routing Protocol for Military Cognitive Radio Ad Hoc Networks

Spectrum-Aware Transitive On-Demand Routing Protocol for Military Cognitive Radio Ad Hoc Networks

An Improved Agent-Based AODV Routing Protocol for MANET

Paper Spectrum-Aware Transitive Multicast on Demand Distance Vector Routing for Military Cognitive Radio Ad Hoc Networks

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