A Bio inspired optimization with Reliable QoS Routing through Efficient Packet Transmission in Mobile ad-hoc Network

Subbaiah, C. Venkata; Govinda, K.

doi:10.1016/j.ref.2022.03.003

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…Different scenarios can be considered by varying the node placement and node movement. The main metrics affected by changing these parameters are Packet delivery ratio (ratio of total packets that were successfully delivered to their destinations to all packets that were sent from their sources), End-to-End delay (the amount of time it takes a data packet to get from source to destination) and the Throughput (total number of packets transmitted) during one simulation [29] [25].…”

Section: Implementation Resultsmentioning

confidence: 99%

An Efficient Bio-inspired Routing Scheme for Tactical Ad hoc Networks

Khanpara

Valiveti

2023

SCPE

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Ad hoc networks are temporary networks, created mainly for applications that are infrastructure-less. Such networks and network nodes demand special characteristics like mobile nodes having dynamic topology, wireless medium, heterogeneous deployment environment, and reactive or proactive routing depending on the nature of the network which includes network parameters such as node placement, mobility model, number of participants in the network, patterns of mobility, etc. Due to these characteristics and the mobility of network nodes, the process of routing is quite challenging in the ad hoc environment, especially when the node mobility is high. Bio-inspired routing can be an effective solution to meet all the design requirements and deal with the issues of tactical ad hoc networks. Different types of nature-inspired routing mechanisms are possible to use for tactical networks. This paper proposes the design of a novel Ant Colony Optimization-based routing strategy for ad hoc networks. Ant-based algorithms are dynamic and have adaptive behavior. Hence, they are competent for routing in ad hoc networks. Our proposed routing scheme is evaluated based on the network’s performance by varying different parameters. The performance of our proposed ACO-based routing approach is also compared to some existing ad hoc routing mechanisms. Different metrics in different deployment scenarios that can affect the efficiency of our proposed protocol are taken into consideration to evaluate the performance.

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Section: Implementation Resultsmentioning

confidence: 99%

An Efficient Bio-inspired Routing Scheme for Tactical Ad hoc Networks

Khanpara

Valiveti

2023

SCPE

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Bio-inspired deep residual neural network learning model for QoS routing enhancement in mobile ad-hoc networks

Tamizharasi¹,

Devi

Deepa

2023

Wireless Netw

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An obstacle aware efficient MANET routing with optimized Bi-LSTM and multi-objective constraints on improved heuristic algorithm

Bhavadharini

Beaulah

Kumar

et al. 2023

AIS

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Mobile Ad Hoc Networks (MANETs) are self-organizing, self-configuring, and infrastructure-less networks for performing multi-hop communication. The source mobile node can transmit the information to any other destination node, but it has limitations with energy consumption and battery lifetime. Since it appeals to a huge environment, there is a probability of obstacle present. Thus, the network requires finding the obstacles to evade performance degradation and also enhance the routing efficiency. To achieve this, an obstacle-aware efficient routing using a heuristic-based deep learning model is proposed in this paper. Firstly, the nodes in the MANET are employed for initiating the transmission. Further, it is needed to be predicted whether the node is malicious or not. Consequently, the prediction for link connection between the nodes is achieved by the Optimized Bi-directional Long-Short Term Memory (OBi-LSTM), where the hyperparameters are tuned by the Adaptive Horse Herd Optimization (AHHO) algorithm. Secondly, once the links are secured from the obstacle, it is undergone for routing purpose. Routing is generally used to transmit data or packets from one place to another. To attain better routing, various objective constraints like delay, distance, path availability, transmission power, and several interferences are used for deriving a multi-objective function, in which the optimal path is obtained through the AHHO algorithm. Finally, the simulation results of the proposed model ensure to yield efficient multipath routing by accurately identifying the intruder present in the network. Thus, the proposed model aims to reduce the objectives like delay, distance, and power consumption.

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A Bio inspired optimization with Reliable QoS Routing through Efficient Packet Transmission in Mobile ad-hoc Network

Cited by 3 publications

References 31 publications

An Efficient Bio-inspired Routing Scheme for Tactical Ad hoc Networks

An Efficient Bio-inspired Routing Scheme for Tactical Ad hoc Networks

Bio-inspired deep residual neural network learning model for QoS routing enhancement in mobile ad-hoc networks

An obstacle aware efficient MANET routing with optimized Bi-LSTM and multi-objective constraints on improved heuristic algorithm

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