Efficient Clustering with Proposed Load Balancing Technique for MANET

Kaur, Supreet; Kumari, Varsha

doi:10.5120/19599-1442

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…The author analyzed some of the metrics supported by Glo-MoSim for the considered protocols and then executed a comparative efficiency assessment using the following parameters such as normalized routing overhead, throughput, data packets sent, data packets retransmitted, average end-to-end delay and data packets received. To compare and analyze the performance of the three important routing protocols such as AODV, DSR and WRP, simulation experiments have been carried out using the GloMoSim software [19,20]. In the simulation settings (as given in Table 1), the used node is 50 and 100, with area sizes 1500 × 1000 and 2000 × 1500 m 2 , respectively.…”

Section: Simulation Environmentmentioning

confidence: 99%

Performance Assessment and Comparison of Efficient Ad Hoc Reactive and Proactive Network Routing Protocols

Prabha

2019

SN COMPUT. SCI.

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The research on mobile ad hoc networks is intensively attracted by the research community due to their good characteristic of multi-hop wireless connectivity and energetically altering network topology. It collects infrastructure less mobile nodes building a temporary network without any centralized administration. So far, numbers of ad hoc routing protocols were developed and executed. The simulation work has been performed to access the performance of ad hoc on-demand distance vector routing (AODV), dynamic source routing (DSR) and wireless routing protocol (WRP). Hence, GloMoSim simulator was used to perform the simulations. The author adopted two dissimilar scenarios, namely, 50 and 100 nodes, with rectangular area sizes of 1500 × 1000 and 2000 × 1500 m 2 , respectively, to estimate the impact of network size on the performances. Simulation findings demonstrated that for definite differentials, WRP shows an enhanced performance than the other two protocols such as DSR and AODV.

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Section: Simulation Environmentmentioning

confidence: 99%

Performance Assessment and Comparison of Efficient Ad Hoc Reactive and Proactive Network Routing Protocols

Prabha

2019

SN COMPUT. SCI.

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“…Load-balancing clustering schemes set upper and lower limits on the number of mobile nodes that a cluster can deal with. When a cluster size [27] propose energy aware load balancing algorithm. Global reclustering is initiated when the network becomes significantly unbalanced i.e.…”

Section: Load-balancing Clusteringmentioning

confidence: 99%

Improving Performance of Mobile Ad Hoc Network Using Clustering Schemes

Er-rouidi

Moudni

Faouzi

et al. 2017

IJ-ICT

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Mobile ad hoc network become nowadays more and more used in different domains, due to its flexibility and low cost of deployment. However, this kind of network still suffering from several problems as the lack of resources. Many solutions are proposed to face these problems, among these solutions there is the clustering approach. This approach tries to partition the network into a virtual group. It is considered as a primordial solution that aims to enhance the performance of the total network, and makes it possible to guarantee basic levels of system performance. In this paper, we study some schemes of clustering such as Dominating-Set-based clustering, Energy-efficient clustering, Low-maintenance clustering, Load-balancing clustering, and Combined-metrics based clustering.

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“…Recently [20] proposed a Load Balanced Re-clustering Algorithm (LBRA). The main objective of (LBRA) is to prolong the network lifetime, when the network load imbalances between cluster heads by re-clustering the networking.…”

Section: An Efficient Load Balancing Clustering Algorithm For Mobile mentioning

confidence: 99%

An Efficient Load Balancing Clustering Algorithm for Mobile Ad Hoc Networks

2015

IJCCIE

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Balancing, transmission range. I. INTRODUCTION OBILE ad hoc networks (MANETs) represent a collection of wireless mobile nodes that can freely and dynamically self-organize into arbitrary and temporary, "ad-hoc" network topologies. This helps people and devices to create wireless networks in areas with no pre-existing communication infrastructure, e.g., emergency rescue, disaster relief, mobile conferencing, law enforcement, battle field communications. The main properties of MANETs are dynamic topology and decentralized connectivity which make network management a challenging task[1][2]. Clustering has evolved for a significant study matter in MANETs since it enhances the system efficiency by increasing scalability, improving bandwidth utilization and reducing delays for route strategies. In a clustering structure, nodes divided into interconnected groups with a dedicated node which called cluster head (CH). CHs are vested with the responsibility of the cluster management, for instant routing and scheduling the medium access[3]. After Clusters creation, every cluster will have a specific size (the number of nodes in that cluster), depends on Labdah ALGhafran and Zulkefli Bin Muhammed Yusof are with

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Efficient Clustering with Proposed Load Balancing Technique for MANET

Cited by 6 publications

References 13 publications

Performance Assessment and Comparison of Efficient Ad Hoc Reactive and Proactive Network Routing Protocols

Performance Assessment and Comparison of Efficient Ad Hoc Reactive and Proactive Network Routing Protocols

Improving Performance of Mobile Ad Hoc Network Using Clustering Schemes

An Efficient Load Balancing Clustering Algorithm for Mobile Ad Hoc Networks

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