In mobile ad hoc networks (MANETs), obstacle happens owing to the loss of packet, which could be effectively minimized by linking congestion control schemes (comprising of routing methods) and control inflow at the network layer. Here, we propose a link matrix technique for MANETs that minimizes congestion links based on the range before the distortion level of each selected transmission node to get better system ability. The effectiveness of the chosen traffic matrix technique is analyzed by comparing its performance with Capacity Optimized COoperative communication (COCO). Experiments suggest that the traffic matrix technique significantly improves the accuracy to derive traffic patterns in MANETs. The simulation results proved that the proposed method is performed well compared to the COCO method in terms of throughput (41%), delay (28%), energy (60%), overhead (48%) and packet delivery ratio (5%).

An Effective Congestion Control Scheme for MANET with Relative Traffic Link Matrix Routing

IOT enabled hybrid model with learning ability for E-health care systems

AI based elderly fall prediction system using wearable sensors: A smart home-care technology with IOT

In the recent time, enviromental sound classification has received much popularity. This area of research comes under domain of non-speech audio classification. In this work, we have proposed a dilated Convolutional Neural Network approch to classify urban sound. We have carried out feature extraction, data augmentation techniques to carry out our experimental strategy smoothly. We also found out the activation maps of each layers of dilated convolution neural network. An increamental dilation rate has exploited Overall we achieved 84.16% of accuracy from the proposed dilated convolutional method. The gradual increaments of dilation rate has exploited the worse effect of grindding and has lowered down the computational cost. Also, overall classification performance, precision, recall,overall truth and kappa value have been obtained from our proposed method. We have considered 10 fold cross validation for the implementation of the dilated CNN model.

Deep convolutional neural network for environmental sound classification via dilation

An effectual IOT coupled EEG analysing model for continuous patient monitoring

The mobile ad hoc network (MANETs) is increasingly emerging wireless standards with the immense extent of applications. The MANET routing experiences disputes in terms of their autonomous nature and due to the presence of diverse routing schemes. The reactive routing standards are chosen due to minimized control overheads and expandability but they experience regular path breakdowns because of increased displacement of the nodes. For minimizing the connection breakdowns and to acquire a constant path a fresh reactive routing standard is designed based on hierarchy based displacements. The designed displacement and magnitude aware ad hoc on demand distance vector routing standard intends to address the displacements and magnitude features over the ad hoc networks. The DDC – AODV directs the path identification and path acknowledgment based on the displacement of the contributing nodes and their magnitudes. The NS2 offers two load assessment employing assessments to explore the consequences and benefits of DDC – AODV over the AODV standards.

Modeling Displacement and Direction Aware Ad Hoc On-Demand Distance Vector Routing Standard for Mobile Ad Hoc Networks

An effective digit recognition model using enhanced convolutional neural network based chaotic grey wolf optimization

Advances in remote systems administration, miniaturized scale manufacture and mix, and installed microchips have empowered the creation of another age of monstrous scale remote sensor systems appropriate for a scope of business and military applications. Remote sensor arranges (WSN) is shoddy and power-proficient sensor hubs which adequately transmit information to the base station. The fundamental test of WSN is the separation, vitality and time delay. The power asset is a vitality productive information accumulation. Here the more prominent the separation between the hubs, higher the vitality utilization. For having the powerful transmission of information with less vitality, the group head approach is utilized. It is notable that the time delay is specifically relative to the separation between the hubs and the base station. The group head is chosen so that it is spatially nearer enough to the base station and also the sensor hubs. In this way, the time deferral can be generously lessened. This, thusly, the transmission speed of the information bundles can be increased. A Novel Hybrid Ant-Bee Colony calculation is created to enhance the effectiveness. The system execution is expanded in this strategy when contrasted with the other regular calculation.

Energy Aware Routing Protocol Using Hybrid ANT-BEE Colony Optimization Algorithm For Cluster Based Routing

This research paper provides software life cycle models and compares their performance. In a software industry every day a new SDLC model introduced but each model have some merits and demerits. So none of them fulfill all customer requirements. In software industry more than 50% software never use and more than 70% software not satisfies user requirements. In this paper we compare software life cycle models and try to identify which model is useful for which customer. So as per requirement developer selects one model and try to satisfy customer requirements.

Comparative Analysis of Software Life Cycle Models

Wireless sensor systems (WSN) have turned into a developing zone of innovative work because of the huge number of uses that can significantly profit by such frameworks and has lead to the advancement of minor, modest, expendable and independent battery controlled sensor nodes. One of the real challenges of WSN is security. The issue of security is because of the remote idea of the sensor systems and the natural power and battery constraints of sensor nodes make common security arrangements which are unfeasible. In this manner, the system is vulnerable to attacks by cruel routes and the information is dropped in attacks like blackhole attack. In this paper, it is proposed to assess the presentation of a system under the effect of hierarchical cluster-based data dissemination (HCDD) convention with Markov model of inductive routes.

T. Saravanan

Papers

Modeling Displacement and Direction Aware Ad Hoc On-Demand Distance Vector Routing Standard for Mobile Ad Hoc Networks

An effective digit recognition model using enhanced convolutional neural network based chaotic grey wolf optimization

Energy Aware Routing Protocol Using Hybrid ANT-BEE Colony Optimization Algorithm For Cluster Based Routing

Comparative Analysis of Software Life Cycle Models

Assessment and Analysis of Action Degeneracy Due to Blackhole Attacks in Wireless Sensor Networks