S. Karthik
SNS College of Technology
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Featured researches published by S. Karthik.
international conference on intelligent systems and control | 2017
V. Kanimozhi; S. Karthik
Vehicular ad hoc networks (VANETs) are intended to get better driver safety, avoid collisions, and offer traffic optimization. Recent years have behold an increasing interest in the security schemes for VANETs as well as improve multi-constrained optimal path selection for finding feasible routes. However, there are still several issues to be convey prior to such authentication mechanisms can be voluntarily and extensively used in real-life deployments. In this paper, we examine several authentication schemes and multi-constrained optimal path selection based on certain criteria like Qos constraints.
international conference on intelligent systems and control | 2017
M. Brindha Devi; T Kalaikumaran; S. Karthik
Mobile Ad hoc Network (MANET) consists of several nodes which are configurable. It consists of multiple number of wireless nodes. The nodes are mobile nodes. It consists of many mobile nodes. The topology may get changed due to higher mobility. The security is another aspect which is very low. Routing protocols are used for transferring the data packets. Due to high vulnerability in security, many attacks such as black hole attacks may occur at the time of routing in routing protocols. AODV is one of the routing protocols which is also affected by such attacks. In this paper several existing methods available to mitigate the attacks in AODV protocol are analyzed.
international conference on intelligent systems and control | 2017
M. Gowsalyaa; R. Sabitha; S. Karthik
In wireless ad hoc network the wireless sensor networks form a great part in the recent period. There are many challenging issues that have been faced in the wireless sensor networks. Data collection by improving the throughput performance forms a great issue. To increase the throughput performance over a dense area network with large number of sensor nodes energy consumption with pre-specified path is the major part for the data collection and it is provided by the use of Energy Harvesting Sensor Network such a way that the sensor nodes may able to collect large number of data from the global environment by reducing the data delivery rate. Based on this issue various techniques and algorithms have been proposed.
international conference on intelligent systems and control | 2017
T. Mohanapriya; S.Raja Ranganathan; S. Karthik
In mobile ad hoc networks (MANET), each node can move freely and communicate with each other in the network. The main challenges are to reduce the traffic that occurs when large amount of data is transmitted and to provide the high accuracy of transmitted data. To acquire only necessary data items, each mobile node can effectively retrieve data items using a top-k query. However, the transmission of query messages and replies from each mobile node will cause high traffic. Some techniques are provided to reduce the number of candidates in the top-k query. This paper deals with the process of top-k query, routing methods and the mechanisms that are proposed to overcome the challenges.
international conference on intelligent systems and control | 2016
K. P. Geethapriya; I. Kala; S. Karthik
Nowadays, wireless sensor networks (WSNs) seen as an emerging technology due to its multi serviceable, low cost and low power sensor nodes, that are deployed randomly and densely over a network to collect a useful information from there. Since the nodes are deployed densely, makes it hard to recharge or replace their batteries. Basically, the node senses the data and transmit it to a base station. The node, which is nearer to the base station may deplete their energy quickly than other nodes due to more traffic relaying on it. Furthermore the nodes may sense and transmit the redundant information to other nodes, which leads to energy wastage. Due to these types of issues, it is difficult to design a data aggregation scheme with optimal energy consumption across the sensing area to enhance the network lifetime. In this paper, a detailed study has been made about the available data aggregation techniques in the form of taxonomy.
Archive | 2017
M Brindha Devi; T Kalaikumaran; S. Karthik
International Journal of Computer Science and Engineering Communications | 2017
T. Mohanapriya; S Raja Ranganathan; S. Karthik
IEEE Conference Proceedings | 2017
M Brindha Devi; T Kalaikumaran; S. Karthik
Archive | 2013
S. Raja Ranganathan; M. Marikkannan; S. Karthik
International journal of engineering research and technology | 2013
S. Raja Ranganathan; Prabakar D; M. Marikkannan; S. Karthik