Towards Developing Enhanced Cluster-Based QoS-Aware Routing in MANET

Yitayih, Kebebew Ababu; Libsie, Mulugeta

doi:10.1155/2020/5481916

Cited by 15 publications

(10 citation statements)

References 11 publications

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“…The results prove that ICMS outperforms these compared algorithms. K.A.Yitayih et al [13] proposed efficient QoS-aware routing in MANET through Optimal Link State Routing (OLSR) protocol. By taking into account several constraints and a clustering approach that requires less maintenance, MANET nodes can be grouped more efficiently.…”

Section: Literature Surveymentioning

confidence: 99%

Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service

Gupta¹,

Uit-Rgpv²,

Motwani³

et al. 2021

IJETAE

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— In an Adhoc Network, every node is mobile and self-contained. As these networks lack infrastructure, highly adaptive algorithms are required to deal with frequent mobility changes by member nodes as well as Cluster Head (CH) nodes. The weighted clustering algorithms contribute significantly to cluster-based routing. In these algorithms, the selection of cluster heads is the most important task. In weighted clustering methods, the selected CH did their best to serve the network. However, the CH may become overloaded due to the arrival of nodes greater than their desired threshold value. In this case, the CH can become a bottleneck as it is unable to cope with rapidly increasing loads which ultimately degrade the network performance. In this paper, we address three network issues (i) Member Node movement (ii) Cluster head Node movement, and (iii) Overload at the Cluster head node caused due to mobility of nodes. Our proposed method Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service (CFMIQS) include various adaptive algorithms to provide solutions to deal with these network issues and improve network Quality of Service (QoS). The Simulated Results are compared with the K-means AODV algorithm, the results showed better Packet Delivery Fraction (PDF) and Throughput values. Keywords— Cluster partition, MANET, Primary Cluster head, QoS, Secondary Cluster head

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Section: Literature Surveymentioning

confidence: 99%

Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service

Gupta¹,

Uit-Rgpv²,

Motwani³

et al. 2021

IJETAE

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show abstract

“…However, the proposed algorithm performs poorly for real time applications. It incurs a lot of delay experienced during random movement made by each node and there seems to be more challenges experience during node movement [10]. The study may be optimized for complex cases where the nodes are moving randomly in an area with obstacles and QoS sensitive users.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Where Pij is the probability of finding node i and j within the matrix P. The P𝛼 value is contrasted within (0,1) to determine whether the local random walk is considered or not and the rand is a random number in [0,1] after the discovery of probabilities, new nodes are generated using equation (10).…”

Section: Random Walkmentioning

confidence: 99%

Improving Quality of Service Provisioning of Optimised Cuckoo Search Ad Hoc on-demand Distance Vector Routing Scheme for Cognitive Radio Ad Hoc Networks.

Moila

velempini

2021

Preprint

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Spectrum mobility, cloud computing and the Internet of Things (IoTs) create large data sets, while the demand for more spectrum is increasing. Unfortunately, the spectrum is a scarce resource which is being underutilized by licensed users. The cognitive radio network, also known as intelligent radio, is a network that can adjust to environment changes and, detect available channels. It has emerged as a promising solution for the underutilization of the licensed spectrum and overcrowded free spectrum. Furthermore, given spectrum mobility, frequent link breakages impact negatively on the delivery of packets and the performance of the network. Hence there is need to address the routing problem. We therefore investigated which control methods can be utilized to improve the QoS provisioning in CRAHNs to minimize the signal overhead and to increase the achievable throughput.The study integrated the QoS requirements with optimized cuckoo search (OCS) algorithm to enhance the ad hoc on-demand distance vector (AODV) algorithm to establish a scheme we refer to as OCS-AODV. NS 2 simulation were run on Linux operating system. The comparative results show that the proposed scheme performed well in terms of end-to-end delay and throughput. However, the scheme does not backup alternative paths which can be used in the event of link breakages. The route discovery has to be re-initiated again. Though the route discovery process is faster because of the capability of the CS technique, it still degrades the performance of the scheme.

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“…This will make the communication more efficient, scalable, and robust than the existing OLSR routing protocols. The cluster is performed based on QoS metrics of nodes within the transmission range, and each node can be in one of the three states which are cluster head, ordinary, or gateway [17]. The main objective of creating clusters on a MANET is, by limiting the network view of each node, we can minimize the routing overhead of broadcasting messages.…”

Section: Clusteringmentioning

confidence: 99%

“…S i (t) =0 or less than 0, link is busy, Greater than 0, link is idle TAB is the total available bandwidth, and TDS is the transmitted data size at a time t. To compute the available link bandwidth of hosts [17] uses idle time. As shown in Eq.…”

Section: Qos Metrics For Mp_olsrmentioning

confidence: 99%

Adaptive Group-based QoS Aware Link State Proactive Multipath Routing for Large-Scale MANETs (GMP-OLSR)

Yitayih¹

2020

IJST

Self Cite

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Objectives: To propose a group-based QoS aware proactive multipath routing based on OLSR protocol. Methodology: This work proposes a group-based proactive multipath routing based on the OLSR protocol, which is designed to be adaptive for a big crowded Mobile Ad-hoc Network to satisfy the desire for real-time multimedia applications. This approach will restrict mobile nodes to be participated in the cluster head selection process based on the mobility and energy of a node. It uses a grouping strategy to manage the network topology and performing route maintenance, and preserve multiple prioritized routes with the support of Quality of Service (QoS) aware computation. Findings: The study evaluated the performance of the proposed group-based QoS aware multipath Optimal Link State Routing (GMP-OLSR) routing through the OMNET++ network simulation environment. Within different network density, the proposed approach offered a significant reduction in end to end delay, overhead and an increment in data packet delivery ratio. Applications: Using an appropriate groupbased QoS aware multipath routing strategy for mobile ad hoc networks provides better performance and improves the services of mobile applications.

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Towards Developing Enhanced Cluster-Based QoS-Aware Routing in MANET

Cited by 15 publications

References 11 publications

Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service

Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service

Improving Quality of Service Provisioning of Optimised Cuckoo Search Ad Hoc on-demand Distance Vector Routing Scheme for Cognitive Radio Ad Hoc Networks.

Adaptive Group-based QoS Aware Link State Proactive Multipath Routing for Large-Scale MANETs (GMP-OLSR)

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