Fuzzy hierarchical ant colony optimization routing for weighted cluster in MANET

Kandan, J. Mani; Sabari, A.

doi:10.1007/s10586-017-1318-1

Cited by 15 publications

(17 citation statements)

References 6 publications

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“…In 2019, Kandan and Sabari [4] have developed fuzzy hierarchical ant colony optimization routing in MANET for maintaining the cluster head sustainability within the clusters. On the basis of the nodes quality of service, the cluster head was selected.…”

Section: Literature Review 21 Related Workmentioning

confidence: 99%

“…MANET has a gathering of versatile hubs, which makes a powerful autonomous system through completely movable framework. The hubs speak with one another without the contribution of concentrated base stations or the passageways [4].However, the MANET regularly contains remote hubs, which works with no fixed framework [3] [5]. The hub, which are available in these systems make the application traffic and client traffic for playing out the directing conventions and system control.…”

Section: Introductionmentioning

confidence: 99%

“…In MANET, there are for the most part two methods for geography management, to be specific clustering and power control. Further, the power control technique manages the force based on per hub, in this way one hop neighbour availability is adjusted to guarantee the organize network [7] [4]. The wireless ad-hoc network and the profoundly powerful geography build up the trouble in the management of gathering participation in light of the fact that the associations are impermanent [7].…”

Section: Introductionmentioning

confidence: 99%

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Energy-Aware routing in MANET: Hybrid Genetic and Group Search Algorithm

Malik¹

2020

JNACS

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MANET is the infrastructure-less, self-organized wireless network. Here, the mobile nodes can join the group or leave from the network group dynamically. As the mobile ad hoc network (MANET) is established with the battery power nodes, reducing the power consumption of mobile node poses a major complex in the network system. Efficient and robust secure routing protocols are required in MANET due to the quickly changing network topology such that the overhead incurred in the track is excessive. To achieve the secure routing path mechanism with less delay and minimum energy consumption of the nodes, a multi-objective based optimization algorithm is introduced in this research work. Here, the best optimal route is chosen for routing the data packets from the source to the destination on the basis of defined multiobjectives like: energy, delay, distance and link state stability. The secure path energy efficient path is identified by the Crossover of GA with GSO Algorithm (CGA-GSO). This is the hybridized form of standard Genetic Algorithm (GA) and the Group search Optimization (GSO) algorithm. The performance of the proposed model will be analyzed over the traditional approaches concerning Energy and Delay as well.

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Section: Literature Review 21 Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Energy-Aware routing in MANET: Hybrid Genetic and Group Search Algorithm

Malik¹

2020

JNACS

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“…Kandan, J.M. and Sabari, A [20] developed the Fuzzy Hierarchy Ant Colony Optimization (FHACO) routing protocol for selecting the appropriate CH. This selection of appropriate CH is helps to control the data packet transmission in the cluster.…”

Section: Literature Surveymentioning

confidence: 99%

“…The performance analysis of the proposed method is taken in terms of average Packet Delivery Ratio (PDR), energy consumption, average End to End Delay (EED) and normalized routing control overhead. Additionally, these performances are compared with FEER [20] and FHACO [20]. This FEER [20] and FHACO [20] are also implemented and simulated for the specifications mentioned in the Table 1.…”

Section: Performance Analysismentioning

confidence: 99%

A Cluster based Routing Protocol for MANET using Mahalanobis Distance based Clustering and Gravitational Search Algorithm

Kumar¹

2020

IJATCSE

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Mobile ad hoc network is generally an independent wireless network in the mobile nodes are communicated through the wireless links without using any centralized infrastructure. Since, the dynamic topology of the network affects the routing and data transmission between the nodes. In this research, an effective clustering and routing methods are developed to improve the MANET performances. The mahalanobis distance based clustering algorithm is used to select an effective cluster head from the network. Then gravitational search algorithm is used to find a routing path from the source to the destination over the cluster heads. The fitness function of gravitational search algorithm considers the multi objective such as residual energy, distance and node degree for optimizing the network performances. The performance of the proposed method are taken in terms of average packet delivery ratio, energy consumption, average end to end delay and normalized control overhead. The performance of the proposed method is compared to with two exiting works such as FEER and FHACO.The energy consumption of proposed method is 940J at 300 data packets that is less when compared to the FEER and FHACO.

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Energy efficient and delay aware clustering in mobile adhoc network: A hybrid fruit fly optimization algorithm and whale optimization algorithm approach

Saminathan¹,

Renukadevi²

2022

Concurrency and Computation

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The energy efficient and delay are the two important optimization issues in the mobile adhoc network (MANET), where the nodes move randomly at any direction with limited battery life, resulting in occasional change of network topology. In this article, a hybrid fruit fly optimization algorithm and whale optimization algorithm (FOA-WOA) is proposed for energy efficient with delay aware cluster head (CH) selection. The major objective of the proposed method is "to solve the problems of energy efficient with delay and develop a clustering mechanism". The performance of the hybrid FOA-WOA is evaluated based on packet delivery ratio (PDR), delay, energy consumption, and throughput. Moreover, the proposed method is analyzed with two existing algorithms, like ant colony optimization (ACO) and genetic algorithm (GA). The experimental results show that the proposed method attains 11.6% better than ACO and 1.8% better than GA based on packet delivery ratio, 57.6% better than ACO and 27.3% better than GA based on delay and 15.3% better than ACO and 36.4% better than GA based on energy consumption.

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Fuzzy hierarchical ant colony optimization routing for weighted cluster in MANET

Cited by 15 publications

References 6 publications

Energy-Aware routing in MANET: Hybrid Genetic and Group Search Algorithm

Energy-Aware routing in MANET: Hybrid Genetic and Group Search Algorithm

A Cluster based Routing Protocol for MANET using Mahalanobis Distance based Clustering and Gravitational Search Algorithm

Energy efficient and delay aware clustering in mobile adhoc network: A hybrid fruit fly optimization algorithm and whale optimization algorithm approach

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