Anomaly Detection System in a Cluster Based MANET

Narayandas, Vikram; Tiruvayipati, Sujanavan; Hanmandlu, M.; Thimmareddy, Lakshmi

doi:10.1007/978-981-10-3226-4_2

Cited by 4 publications

(1 citation statement)

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“…To spot the intrusion, a new method called the Anomaly Detection System has been developed. During experiments, the level of energy consumption and intruded node identification allow the sustained stable release of the cluster energy and cluster up time for a lengthier period of time, but the approach does not operate on ADS because this method cannot be suitable for producing intelligent Manets (Vikram Narayandas et al,2017).…”

Section: Background and Related Workmentioning

confidence: 99%

An energy efficient multipath routing protocol for MANET

Krishna¹,

Veeraiah

2022

JER is an international, peer-reviewed journal that publishes f

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Energy consumption is a critical consideration in mobile ad hoc networks because the majority of mobile nodes run on low battery resources. A hectic problem was the minimization of energy, which was solved by the use of multipath routing protocols. This article proposes an energy-efficient multi-path routing protocol supported by the MANET optimization algorithm. The energy efficiency within the MANET is efficiently achieved by the use of cluster head selection with fuzzy clustering and fuzz NB. Multipath routing can be achieved by integrating the bird swarm optimization algorithm (BSA) with the whale optimization algorithm (WOA), which is called the Bird Swarm-Whale Optimization Algorithm (BSWOA). Optimal route selection is predicated on fitness variables like connectivity between the nodes, energy consumption, the maximum trust value of the route, and throughput. In comparison to existing methods, the suggested BSWOA obtained a minimum energy consumption of 8.72 J, a minimum delay of 0.00333 msec, and a maximum throughput of 0.912 bps.

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Section: Background and Related Workmentioning

confidence: 99%