Effective Maintenance of Replica in Distributed Network Environment Using DST

Amudhavel, J.; Vengattaraman, T.; Basha, M. S. Saleem; Dhavachelvan, P.

doi:10.1109/artcom.2010.97

Cited by 44 publications

(14 citation statements)

References 7 publications

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“…This paper explores the different network characteristics, communication patterns, architecture and security concerns in the current developing technology. The author has surveyed the diverse characteristics of the Ad-Hoc networks [25] that are formed dynamically. The Vehicular Ad-Hoc Network Applications are explained in brief, which includes the various forthcoming technologies to be applied in the Vehicular Ad Hoc Networks.…”

Section: Related Workmentioning

confidence: 99%

A bio-inspired artificial bee colony approach for dynamic independent connectivity patterns in VANET

Baskaran

Basha

Amudhavel³

et al. 2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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Vehicular Ad-Hoc Network (VANET) [1] which is a sub-type of the mobile ad-hoc networks provides wireless communication between the vehicles and to the Road Side Units (RSU) [2]. In VANET, the communication between the vehicles is used for various purposes like safety, comfort and entertainment.We use the vehicles as the portable nodes to create the mobile network. The VANET uses all the vehicles in the nearby distance as a wireless router or node to form a network. The vehicles can dynamically come in or drop out of the network as they move. The working of the VANET depends on how the routing of data is done in the network. In the recent years, the number of accidents has been increased to a greater count. In order to eradicate this, the implementation of VANET technology is being used in various modes of transportation. Even though VANET has been proposed to be a successful network model, it has some issues to overcome. The most major issues are the connectivity and the signal fading issue. We can overcome some of the issues in VANET by using the Artificial Bee Colony Algorithm (ABC) [3]. The proposed use of the algorithm in VANET may resolve some of the issues effectively.

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Section: Related Workmentioning

confidence: 99%

A bio-inspired artificial bee colony approach for dynamic independent connectivity patterns in VANET

Baskaran

Basha

Amudhavel³

et al. 2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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“…Based on this pheromone level communication [2,6,9] is established between the ants, to travel to find the shortest path, and is considered that with the greatest density of pheromone the ants will tend to follow the path with more pheromone. The task of the ants is to search the food in the vicinity of their nest.…”

Section: Ant Behaviormentioning

confidence: 99%

“…The mesh router consists of gateway transfer data to other devices like laptops, Wi-Fi, WiMax, and cellular networks [7][8][9]17] that are connected to mesh router using base station or access point. Orthodox clients [1,2,4,5] with different radio technologies can communicate with the mesh router using Ethernet interface [2,6,8,9] which is in their base station. The orthodox client with same radio technologies will communicate directly with mesh routers.…”

Section: Working Mechanismmentioning

confidence: 99%

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Recursive Ant Colony Optimization Routing in Wireless Mesh Network

Amudhavel¹,

Padmapriya²,

Nandhini³

et al. 2015

Advances in Intelligent Systems and Computing

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The ant colony optimization algorithm is used to find the optimal path based on the behavior of an ant while searching a food. It will communicate with other ants using the pheromone to find the best solution. In this paper, we introduce recursive ant colony optimization (RACO) in the wireless mesh network. This technique is used to subdivide a large network into smaller networks and based on the network, the shortest path is found in each subproblem, and finally it is combined to generate an optimal path for the network. In each subproblem, the iteration is performed recursively to obtain the shortest path in that subproblem. In our paper, we use recursive ant colony to reduce redundancy in connection and so the data will transfer in less time effectively. RACO is used to find best solutions more accurate than the other ant colony systems. Isolation of a subproblem is reduced in RACO.

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“…The comparisons are made by means of structure, shape and proportions of the face; distance between the eyes, nose, mouth and jaw; the sides of the mouth; location of the eyes; and the cheek bone's surrounding area. There are many methods in face recognition.The main methods are: feature analysis, neural network [24], Eigen faces, automatic face processing [18,19]. A face recognition method using Eigen faces is used in this system.…”

Section: Face Recognitionmentioning

confidence: 99%

Efficient personal identification using multimodal biometrics

Ahilandeswari¹,

Prabu²,

Priyadharshini³

et al. 2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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For recent years, the use of personal identity systems using multimodal biometrics has been increasing tremendously in number of fields. Although the Unimodal biometric systems serve well in various areas, it is notable that they have disadvantages regarding security and accuracy. Multimodal biometric systems focus on combining more than one possible biometric technology in order to secure the applications to a great extent. This in turn resulted in the improvement of performance and robustness against fraudulent attacks. Personal identification plays a major role in any information sharing process. For this, the identification systems must be designed in such a manner that it should minimize the system error rates, susceptibility mimics and false match rate. Considering these factors, we aim at providing a new personal identification system using multimodal biometrics. The proposed system uses three of the biometric technologies in the process of identification: (i) Face recognition; (ii) Fingerprint recognition; and (iii) Speech Recognition. Here we discuss about the methods of feature extraction, fusion and decision used in our system and their advantages over other biometric systems.

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Effective Maintenance of Replica in Distributed Network Environment Using DST

Cited by 44 publications

References 7 publications

A bio-inspired artificial bee colony approach for dynamic independent connectivity patterns in VANET

A bio-inspired artificial bee colony approach for dynamic independent connectivity patterns in VANET

Recursive Ant Colony Optimization Routing in Wireless Mesh Network

Efficient personal identification using multimodal biometrics

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