A cluster based multi-source multicast routing protocol using genetic algorithm for mobile ad hoc networks

Selvam, R. Pandi; Palanisamy, V.

doi:10.1145/2185216.2185321

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Evolutionary algorithms form balanced clusters to even the energy consumption in all parts of the network [57], [99]- [101]. When a protocol assumes more than one metrics like energy, degree and mobility becomes an optimization function.…”

Section: ) Evolutionary Algorithms Based Clusteringmentioning

confidence: 99%

State-of-the-Art Clustering Schemes in Mobile Ad Hoc Networks: Objectives, Challenges, and Future Directions

et al. 2019

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Mobile ad hoc networks (MANETs) are self-organized networks without any fixed infrastructure. The topology changes are very frequent in MANETs due to nodes' mobility. The topology maintenance creates an extra overhead, as the mobility information of a single node is shared with all nodes in the network. To address the topology maintenance overhead problem in MANETs, the researchers proposed different cluster-based algorithms to reduce the size of a routing table. The clusters are formed to locally adjust the topology changes within the cluster. If a node wants to communicate with a node outside the cluster, it only communicates with its cluster head (CH). The CH communicates with other CHs to transmit data toward the destination. To efficiently utilize the clustering mechanism in MANETs, stable and balanced clusters are required. To form good quality and optimized clusters, some metrics, such as relative mobility (node speed and direction), node degree, residual energy, communication workload, and neighbor's behavior, are required. In this paper, we present a comprehensive survey of recent CAs in MANETs. We also present the objectives, goals, and contributions of recent research. Similarly, the findings, challenges, and future directions are stated. The validation of each proposed work is analyzed critically in terms of the mobility model, the simulation tool used during simulation, simulation metrics, and the performance metrics used in the validation process. INDEX TERMS MANETs, clustering algorithms, routing, cluster based MANET.

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Section: ) Evolutionary Algorithms Based Clusteringmentioning

confidence: 99%

State-of-the-Art Clustering Schemes in Mobile Ad Hoc Networks: Objectives, Challenges, and Future Directions

et al. 2019

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“…With the above code of ethics these networks are particularly important and useful in battlefields, military/police exercise, mine site operations and disaster relief operations, emergency search and rescue and so on [1]. Clustering is an important technique in MANET.…”

Section: Introductionmentioning

confidence: 99%

A Probabilistic Algorithm for MANET Clustering

Dabaghi‐Zarandi

Minaei‐Bidgoli

Davarzani³

2014

IJFGCN

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Mobile ad hoc network (MANET) is a type of ad hoc network that MANET nodes can change their locations and configure by themselves on the fly. Because of mobility the MANET nodes, the management of a large MANET is difficult, therefore, clustering in a MANET is an important technique. A large network is divided into several sub networks applying clustering method. When the topology of the network is dynamic and ad hoc, the process of clustering is very complicated. In this paper, we propose a Probabilistic Algorithm for MANET

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An optimized cluster based approach for multi-source multicast routing protocol in mobile ad hoc networks with differential evolution

Selvam

Palanisamy

2012

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)

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A cluster based multi-source multicast routing protocol using genetic algorithm for mobile ad hoc networks

Cited by 3 publications

References 7 publications

State-of-the-Art Clustering Schemes in Mobile Ad Hoc Networks: Objectives, Challenges, and Future Directions

State-of-the-Art Clustering Schemes in Mobile Ad Hoc Networks: Objectives, Challenges, and Future Directions

A Probabilistic Algorithm for MANET Clustering

An optimized cluster based approach for multi-source multicast routing protocol in mobile ad hoc networks with differential evolution

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