Sateesh Kumar Pradhan

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We propose a multi-objective Pareto-optimal technique using Genetic Algorithm (GA) for group communication, which determines a min-cost multicast tree satisfying end-to-end delay, jitter, packet loss rate and blocking probability constraints. The model incorporates a fuzzy-based selection technique for initialization of Quality of Service (QoS) parameter(More)
In this research, anomaly detection using neural network is introduced. This research aims to experiment with user behaviour as parameters in anomaly intrusion detection using a backpropagation neural network. Here we wanted to see if a neural network is able to classify normal traffic correctly, and detect known and unknown attacks without using a huge(More)
Searching and comparing products satisfying buyer's preferences is one of the essential activities in e-commerce. It is difficult when product space is large and multiple criteria on the product features are to be considered. Furthermore, the matchmaking becomes a challenging problem if buyer's preferences are fuzzy. In this paper, we present a linguistic(More)
With the proliferation of mobile computing devices, the demand for continuous network connectivity regardless of physical location has spurred interest in the use of mobile ad hoc networks. Since Transmission Control Protocol (TCP) is the standard network protocol for communication in the internet, any wireless network with Internet service need to be(More)
The increasing demand of real-time multimedia applications in wireless environment requires stringent Quality of Service (QoS) provisioning to the Mobile Hosts (MI. The scenario becomes more complex during group communication from single source to multiple destinations. Fulfilling users demand with respect to delay, jitter, available bandwidth, packet loss(More)
Ajaya Kumar Tripathy, Department of Computer Science, Utkal University, Bubaneswar, India Manas Ranjan Patra, Department of Computer Science, Berhampur University, Berhampur, India Sateesh Kumar Pradhan, Department of Computer Science, Utkal University, Bubaneswar, India Raisa Rafique, Department of CSE, Silicon Institute of Technology, Bhubaneswar, India(More)
In the development of wireless sensor networks (WSNs) applications, organizing sensor nodes into a communication network and route the sensed data from sensor nodes to a remote sink is a challenging task. Energy efficient and reliable routing of data from the source to destination with minimal power consumption remains as a core research problem. So, in WSN(More)
Scheduling number of jobs in a single machine is a “Uni-machine job scheduling problem”. The mean of variation of job's waiting time is called Waiting time Variance (WTV). Minimization of WTV directly improves the quality of service (QoS) of systems involved with job scheduling. WTV minimization is a NP-hard problem. As a matter of fact(More)