Performance Comparison of Fresh and Spray &amp; Wait Protocol through ONE Simulator

Garg, Puneet

doi:10.17762/itii.v9i2.369

ITII

2021

DOI: 10.17762/itii.v9i2.369

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Performance Comparison of Fresh and Spray & Wait Protocol through ONE Simulator

Puneet Garg¹

Abstract: Opportunistic Networks (OppNets) are becoming the prime interest for researchers day-by-day due to the large scope of further research into it. An opportunistic network is used to transmit data in an environment of intermittent connectivity. OppNet offers a variety of routing protocols based on different strategies. Each protocol has some pros and cons. Among the available ones, Fresh Routing Protocol and Spray-and-wait Routing Protocol are the most efficient routing protocols in terms of performance during da… Show more

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2022

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Cited by 2 publications

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ML-Fresh: Novel Routing Protocol in Opportunistic Networks Using Machine Learning

Garg¹,

Dixit²,

Sethi³

2022

Computer Systems Science and Engineering

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Opportunistic Networks (OppNets) is gaining popularity day-by-day due to their various applications in the real-life world. The two major reasons for its popularity are its suitability to be established without any requirement of additional infrastructure and the ability to tolerate long delays during data communication. Opportunistic Network is also considered as a descendant of Mobile Ad hoc Networks (Manets) and Wireless Sensor Networks (WSNs), therefore, it inherits most of the traits from both mentioned networking techniques. Apart from its popularity, Opportunistic Networks are also starting to face challenges nowadays to comply with the emerging issues of the large size of data to be communicated and blind forwarding of data among participating nodes in the network. These issues lower the overall performance of the network. Keeping this thing in mind, ML-Fresh-a novel framework has been proposed in this paper which focuses to overcome the issue of blind forwarding of data by maintaining an optimum path between any pair of participating nodes available in the OppNet using machine learning techniques viz. pattern prediction, decision tree prediction, adamic-adar method for complex networks. Apart from this, ML-Fresh also uses the history of successful encounters between a pair of communicating nodes for route prediction in the background. Simulation results prove that the ML-Fresh outperforms the existing framework of Opportunistic Networks on the grounds of standard Quality-of-Service (QoS) parameters.

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ML-Fresh: Novel Routing Protocol in Opportunistic Networks Using Machine Learning

Garg¹,

Dixit²,

Sethi³

2022

Computer Systems Science and Engineering

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MANET Proactive and Reactive Routing Protocols

Shukla

Garg

Singh

2022

International Journal of Knowledge-Based Organizations

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A group of wireless nodes forms a configuration that is linked to a remote medium forming dynamic topology. A routing protocol enables packets to travel from the sender to the destination via intermediate nodes. When a device or intermediate node delivers information to other nodes in an Ad hoc network, the node consumes some energy, and data transmission may be interrupted as all of the power is consumed. MANET is often power-driven devices, the difficult component in MANET is to lower the power consumption of energy by the intermediate devices in the network so that the network remains active at the time of data transmission. The characteristics, uses, and problems of MANET are described in this research. In addition, we look at the MANET routing protocols. The performance of alternative routing protocols, such as DSDV, AODV, AOMDV, and DSR, is then compared using performance measures. The NS2.35 simulator is used to conduct the performance assessment.

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Performance Comparison of Fresh and Spray & Wait Protocol through ONE Simulator

Cited by 2 publications

References 15 publications

ML-Fresh: Novel Routing Protocol in Opportunistic Networks Using Machine Learning

ML-Fresh: Novel Routing Protocol in Opportunistic Networks Using Machine Learning

MANET Proactive and Reactive Routing Protocols

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