Enhanced cluster-based stable path for load balancing and reducing overhead using artificial bee colony in MANETs

Sundar, Ramadass; Kathirvel, Ayyaswamy

doi:10.1504/ijvics.2020.107181

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…To reduce overhead, and waste of resource usage, Sundar and Kathirvel 17 proposed cluster‐based initial route discovery as well as the data transmissions by artificial bee colony (CBRTABC) containing ad‐hoc on‐demand distance vector. The performance measures such as throughput, route overhead, routing delay, and packet delivery ratio were the measures used for the evaluation of the routing protocol.…”

Section: Summary Of Related Workmentioning

confidence: 99%

An efficient stable node selection based on Garson's pruned recurrent neural network and MSO model for multipath routing in MANET

Hemalatha

Umamaheswari²,

Jothi

2022

Concurrency and Computation

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In mobile ad hoc network, the routing task is considered to be more complicated issue.In order to find efficient route in MANET, the positions of each stable node in the network is identified initially. The main contribution of this paper is to identify the locations of neighboring nodes in MANET for the establishment of multi path routing in diverse mobility patterns. It also handles packet scheduling to balance the load as well as data forwarding with less communication time. The proposed work explains four phases such as stable node prediction, stability determination, route exploration, and packet dissemination. At first, the stable nodes are identified using recurrent neural network along with modified seagull optimization approach. By means of Garson's pruning based recurrent neural network accompanied with modified sea gull optimization (RMSG) algorithm, the stable neighbors are chosen. The network routing is formed by interconnecting the stable nodes from the source to the destination. When a routing link failure happens, the route recovery process will be initiated. Thus, the data packets are broadcasted in multi-paths without any intervention. The measures namely packet delivery ratio, throughput, end-to-end delay, routing overhead, optimal path selection, and energy consumption are utilized to evaluate the performance of proposed approach. The experimental analysis proved that the proposed approach well performed than other compared existing approaches.

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Section: Summary Of Related Workmentioning

confidence: 99%

An efficient stable node selection based on Garson's pruned recurrent neural network and MSO model for multipath routing in MANET

Hemalatha

Umamaheswari²,

Jothi

2022

Concurrency and Computation

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Graph neural networks based queuing model for optimal load balancing in mobile ad hoc network

Kumar,

Arul Geetha

2024

Int J Communication

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SummaryThis paper proposes a new approach for optimizing traffic management in multiple access networks (MANETs) by utilizing the stream‐enabled routing (SER) algorithm. The SER algorithm is used to determine which routing path is the most time‐ and resource‐efficient. The proposed approach makes use of multipath routing in a manner that is consistent with the SER method. By combining the states of flows, queues, and links, a graph neural network (GNN)‐based model attempts to break the circular dependencies that are described by these functions. The simulation is setup with joint parameters consisting of residual energy, packet delivery rate (PDR), and end‐to‐end delay. The results of the experiments show that the proposed protocol provides a significant improvement in terms of network efficiency when compared to using some baseline protocols designed for MANETs.

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Quantum Computers Based on Distributed Computing Systems for the Next Generation

Kathirvel

Maheswaran

Subramaniam

et al. 2023

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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OS gives life to the computer system. OS will provide managing all resources inside the computer. It will take care of memory management, process scheduling, device managing, managing files and folders, provide user interface, manage applications, etc. Network OS will provide build-in networking capability, multiple system images one per node, managing the resources, scheduling the processes, and sharing the resources. UNIX and Windows NT are good examples for Network OS. Distributed OS manages a group of autonomous computers and makes them appear to the users of the system as if it were a single computer. Distributed OS will provide transparency and networking capability. DOS has control over all the nodes in the system. It will support load balancing using scheduling policies and sharing the resources.

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Enhanced cluster-based stable path for load balancing and reducing overhead using artificial bee colony in MANETs

Cited by 3 publications

References 11 publications

An efficient stable node selection based on Garson's pruned recurrent neural network and MSO model for multipath routing in MANET

An efficient stable node selection based on Garson's pruned recurrent neural network and MSO model for multipath routing in MANET

Graph neural networks based queuing model for optimal load balancing in mobile ad hoc network

Quantum Computers Based on Distributed Computing Systems for the Next Generation

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