Energy and delay efficient dynamic cluster formation using hybrid AGA with FACO in EAACK MANETs

Sathiamoorthy, J.; Ramakrishnan, B.

doi:10.1007/s11276-015-1154-2

Cited by 17 publications

(12 citation statements)

References 35 publications

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“…In [51] fuzzy ant colony optimization (FACO) is used to find the optimal shortest path. The probability of each path between source and destination is calculated.…”

Section: ) Dynamic Cluster Formation Using Hybrid Facomentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

2020

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Mobile ad hoc networks (MANETs) have recently received a lot of attention from researchers due to their ease of deployment and versatility. Clustering is one of the most efficient ways to coordinate routing in MANETs to improve network performance using different attributes and metrics. In this paper, the authors have extensively studied clustering schemes and divided the schemes into multiple types based on the Cluster Head (CH) selection criteria, which provides a good understanding of how each type of clustering algorithm differs from each other. The authors analyzed the performance of existing schemes based on the quality of service (QoS) metrics. Based on findings, the authors clarified some important tradeoffs between QoS metrics and also established some important factors influencing the efficiency of clustering schemes. These studies also contain open research challenges and proposed solutions to improve the performance of clustering schemes. INDEX TERMS Clustering, cluster head, MANETs, protocol and schemes.

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“…In [51] fuzzy ant colony optimization (FACO) is used to find the optimal shortest path. The probability of each path between source and destination is calculated.…”

Section: ) Dynamic Cluster Formation Using Hybrid Facomentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

2020

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“…In this section ACOLBR is compared with Ant Colony Optimisation based routing protocols ARA [20], ANTNET [13], ANTHOCNET [14], FACO [38], ANTAODV [17], MOAODV [41] and CLAR [35] with respect to Pause time (100s, 150s, 200s, 250s, 300s, 350s, 400s, 450s, 500s, 550s and 600s), simulation time (100s, 150s, 200s, 250s, 300s, 350s, 400s, 450s and 500s), mobility (10,20,30,40 and 50)m/s of nodes, packet delivery ratio, end to end delay and throughput.…”

Section: Performance Comparison Of Acolbr With Ant Colony Optimisation Based Routing Protocolsmentioning

confidence: 99%

“…Pause Time: In Fig. 12 ACOLBR is compared with ant colony optimisation based routing protocols like ARA [20], FACO [38], ANTAODV [17] and ANTHOCNET [15]. In ARA, two types of ants (FANT and BANT) are applied during path discovery phase.…”

Section: Performance Comparison Of Acolbr With Ant Colony Optimisation Based Routing Protocolsmentioning

confidence: 99%

ACOLBR: ACO Based Load Balancing Routing In MANET

Dholey

Sinha

2021

Preprint

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Real-time data transmission is one of the objectives of MANET (mobile ad-hoc network) to handle emergencies like a forest fire, flood, and earthquake. In this scenario, quick delivery of data is itself a challenging task for MANET and there is a possibility of load imbalance due to packet transmission in between source-destination pairs via the shortest path due to congestion or control overhead. In this paper, a novel routing protocol, called ACOLBR (ACO based load balancing routing), is design to control the congestion and balancing the load among the multiple paths in between source to destination. The similarity between the environment of Ant Colony and the MANET inspires the authors to apply ACO (Ant colony optimization) technique during routing in MANET to control congestion and balance the load in the network. In our proposal, two colonies of ants (red/blue) carry their packets based on the network condition. A decision variable is designed to select red/blue ant for transferring packets based on different network parameters such as bandwidth, energy, mobility, and distance. The selection of red ant means the route where the concentration of red pheromone is maximum and reverse is true for blue ant. This protocol is also concerns about the link failure during packet transmission in a route. Simulation results using OMNET++ show that ACOLBR outperforms ARA, ANTHOCNET, FACO, AODV, DSDV, DSR, CA-ARTT, and MOAODV in terms of load balancing efficiently in the route for data transmission in between source to destination.

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“…In [30], an enhanced ant colony optimisation algorithm is presented to reduce the communication overhead among multiple nodes. This is done by cluster formation and node mobility prediction.…”

Section: Problem Definitionmentioning

confidence: 99%

Energy efficient clustering and secure routing using reinforcement learning for three‐dimensional mobile ad hoc networks

Muneeswari¹,

Manikandan²

2019

IET Communications

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Energy and delay efficient dynamic cluster formation using hybrid AGA with FACO in EAACK MANETs

Cited by 17 publications

References 35 publications

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions

ACOLBR: ACO Based Load Balancing Routing In MANET

Energy efficient clustering and secure routing using reinforcement learning for three‐dimensional mobile ad hoc networks

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