An energy-efficient MANET relay node selection and routing using a fuzzy-based analytic hierarchy process

Devi, E. Ahila; Radhika, S.; Chandrasekar, A.

doi:10.1007/s11235-023-00995-6

Cited by 3 publications

(1 citation statement)

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“…So that the quality of MANET makes the method constantly vulnerable to malevolent attacks [2]. Likewise, malevolent attacks in the MANET are the worst due to the worst physical security efforts [3]. The primary objective of a MANET routing protocol is to establish an accurate and efficient route between multiple nodes, enabling messages to be transmitted optimally [4].…”

Section: Introductionmentioning

confidence: 99%

Trust Based Multi Objective-Pelican Optimization Algorithm for Mobile Ad Hoc Networks

2023

IJIES

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The approach to ensuring secure transmission in a mobile Ad hoc network (MANET) involves safeguarding the information exchanged between devices. It involves using encryption and authentication techniques to make sure that only authorized devices can access the data and that the data remains unchanged and trustworthy. However, implementing secure broadcasting can be challenging due to factors like limited resources, the dynamic nature of networks, and trust management. To overcome those issues, the trust-based multi-objective-pelican optimization algorithm (TMO-POA) method is used in this paper to offer great security for the data packets and stop malevolent attacks. The energy efficacy of the node and trust values are evaluated. The superior cluster head is selected for that TMO-POA appraisal of the cost function. Let's detect the malevolent node in the network, decrease the packet loss, and evaluate the trust value of the node in its neighbourhood. Upgrading the routing detail is made easier by the trust value and maximizes the network throughput. The outcomes attained from the simulation show that the suggested TMO-POA succeeded in excellent execution according to various parameters metrics. From the results, the proposed TMO-POA, succeeded in achieving maximum throughput (550.01 Kbps), Average energy consumption (0.90J), routing overhead (0.0550), PDR (0.999) and delay (11.23ms), which is much better than the existing bacteria foraging optimization algorithm (BFOA), cat slapped solo algorithm (C-SSA), and trust-based efficiency routing (TER) algorithms.

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Section: Introductionmentioning

confidence: 99%