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Mobile Ad hoc Networks are infrastructure-less networks where each node acts as sender, receiver as well as router for exchange of data. These nodes are usually battery-powered and often they die out before data transmission is complete. These networks are highly dynamic due to node mobility leading to frequent link breaks. This gives rise to added route(More)
Web based learning systems provides huge volume of educational content to learners. However, a single learner might not be interested in learning all the contents delivered. To encourage learners of varying skill sets and to develop learning interests web recommendation system is needed for web based learning. This paper focuses on providing recommendations(More)
The use of Wireless Sensor Networks (WSNs) is estimated to bring enormous changes in data gathering, processing and distribution for different environments and applications. However, a WSN is a powerful controlled system, since nodes run on limited power batteries. Prolong the lifetime of sensor networks depends on efficient management of sensing node of(More)
Scheduling is very important in real time environment, where users must be provided services by considering factors like QoS and channel quality. A novel analysis on the performance of downlink packet scheduling algorithms in Long Term Evolution (LTE) networks is presented. LTE with multimedia traffic is modelled with Network Simulator (NS-3) in compliance(More)
In recent decades, numerous attempts have been made on routing the data in mobile ad hoc networks efficiently. Subsequently, several specialists have provided distinct routing protocol for ad hoc networks, especially routing protocols using the concept of multiple paths such as AOMDV. Carefully designed multipath routing protocols promise congestion(More)
A neuro-fuzzy image segmentat ion is proposed in this paper. The given image is clustered by using Fuzzy-C-Means algorithm which is an unsupervised approach. Combining this unsupervised clustering to a neural network with unsupervised learning will lead to unreliable segmentation. Therefore, in the proposed work the labels obtained from clustering through(More)
A Mobile Ad-hoc Network (MANET) is a collection of mobile nodes communicating and cooperating with each other without any predetermined topology. The mobile node in the network operates not only as a host but also as a router in forwarding packets to other mobile nodes in the network. Each node contains a limited resource constraint such as battery power,(More)
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