Adaptive Weighted Clustering Algorithm for Mobile Ad-hoc Networks

Yasin, Adwan; Jabareen, Salah

doi:10.5815/ijcnis.2016.04.04

Cited by 3 publications

(3 citation statements)

References 20 publications

(18 reference statements)

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“…The calculation of RSSI (Yasin et al , 2014): the RSSI principle will describe a correlation between the power transmitted and the power received of wireless signals and the actual distance amongst the nodes. The relationship was depicted as per Eqn (1). where Pr is the receiving power, Pt denotes transmitted power, d denotes the distance existing between the sender and the receiver nodes and n denotes a transmission factor that has a value which depends on the environment of propagation.…”

Section: The Methodologymentioning

confidence: 99%

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An RSSI-based Sybil attack detection system with continuous authentication using a novel lightweight multimodal biometrics

Brindha

Meenakshi²

2020

IJIUS

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PurposeAny node in a mobile ad hoc network (MANET) can act as a host or router at any time and so, the nodes in the MANET are vulnerable to many types of attacks. Sybil attack is one of the harmful attacks in the MANET, which produces fake identities similar to legitimate nodes in the network. It is a serious threat to the MANET when a malicious node uses the fake identities to enter the network illegally.Design/methodology/approachA MANET is an independent collection of mobile nodes that form a temporary or arbitrary network without any fixed infrastructure. The nodes in the MANET lack centralized administration to manage the network and change their links to other devices frequently.FindingsSo for securing a MANET, an approach based on biometric authentication can be used. The multimodal biometric technology has been providing some more potential solutions for the user to be able to devise an authentication in MANETs of high security.Research limitations/implicationsThe Sybil detection approach, which is based on the received signal strength indicator (RSSI) variations, permits the node to be able to verify the authenticity of communicating nodes in accordance with their localizations.Practical implicationsAs the MANET node suffers from a low level of memory and power of computation, there is a novel technique of feature extraction that is proposed for the multimodal biometrics that makes use of palm prints that are based on a charge-coupled device and fingerprints, along with the features that are fused.Social implicationsThis paper proposes an RSSI-based multimodal biometric solution to detect Sybil attack in MANETs.Originality/valueThe results of the experiment have indicated that this method has achieved a performance which is better compared to that of the other methods.

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Section: The Methodologymentioning

confidence: 99%

Section: Received Signal Strength Indicator-ad Hoc On-demand Multipat...mentioning

confidence: 99%

An RSSI-based Sybil attack detection system with continuous authentication using a novel lightweight multimodal biometrics

Brindha

Meenakshi²

2020

IJIUS

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“…Adaptive Weighted Clustering Algorithm for mobile-ad-hoc network is used for maintaining the lifetime of nodes and discover the proper path between source and destination. The user must fit his needs and to take into consideration among different MANETs [15]. To overcome the above mentioned problems the, "K-Means-AODV-ACO-AES" is used for maintaining energy in the ad-hoc networks by enhancing QoS Parameters along with providing secured path to the destination.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Clustering Technique Using K-Means and AODV-ACO Routing with Secured AES Cryptography in MANET

Rao¹,

Murugan²

2019

IJIES

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Mobile Ad-hoc Network (MANET) dynamically designed by the self-organization of the mobile nodes connected through wireless links without using any centralized administration. Energy consumption is the most significant issue in the MANETs, because most of the mobile host's functions have inadequate battery resources. Reduction in the energy consumption increases the lifetime and throughput of the network. The performance of existing techniques is less in terms of energy conservation issues. To overcome this limits, this paper suggested an energy conservation mechanism incorporated with a pro-active MANET routing scheme. The routing schema is employed in the energy level and the movement of the nodes. Calculation of energy cost is accomplished based on the assessment of the energy consumption level of the node, using K-Means clustering along with AODV (Ad-hoc On Demand Distance Vector). The data packets are secured using (AES), while sending data from source to destination. The proposed methodology "K-Means-AODV-ACO-AES" model is compared with the existing Optimal Key Management for Secure Data Transmission (OKMSDT) and Secured AODV (Sec-AODV). From the comparison result, it is observed that the K-Means-AODV-ACO-AES" increases in Packet Delivery Ratio (5%), along with the decrease in end-to-end-delay (6%), and energy consumption (7%) and drop (8%) in secured environment.

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Clustering algorithm for AODV routing protocol based on artificial bee colony in MANET

Rattrout

Yasin

Abu-Zant

et al. 2018

Proceedings of the 2nd International Conference on Future Networks and Distributed Systems

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Adaptive Weighted Clustering Algorithm for Mobile Ad-hoc Networks

Cited by 3 publications

References 20 publications

An RSSI-based Sybil attack detection system with continuous authentication using a novel lightweight multimodal biometrics

An RSSI-based Sybil attack detection system with continuous authentication using a novel lightweight multimodal biometrics

Energy Efficient Clustering Technique Using K-Means and AODV-ACO Routing with Secured AES Cryptography in MANET

Clustering algorithm for AODV routing protocol based on artificial bee colony in MANET

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