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Raj Anand, S.
- Energy Efficiency for Localization Accuracy by Beacon Movement Detection in Wireless Sensor Networks
Abstract Views :155 |
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Authors
Affiliations
1 Department of CSE, Vel Tech. Dr. RR & Dr. SR Technical University, Chennai, IN
2 Vel Tech. Dr. RR & Dr. SR Technical University, Chennai, IN
3 Department of CSE, SV University,Tirupati, IN
1 Department of CSE, Vel Tech. Dr. RR & Dr. SR Technical University, Chennai, IN
2 Vel Tech. Dr. RR & Dr. SR Technical University, Chennai, IN
3 Department of CSE, SV University,Tirupati, IN
Source
Wireless Communication, Vol 3, No 6 (2011), Pagination: 420-426Abstract
Wireless sensor networks (WSNs) greatly extend our ability to monitor and control the physical world, as they have become the mark of pervasive technology. One of the main design issues for a sensor network is conservation of the energy available at each sensor node. We split the lifetime of the sensor network into equal periods of time known as rounds. Base stations are relocated at the start of a round. Energy efficient organization is forecasting the position of Mean Square Error for every node in the location. Localization is an important issue in wireless sensor networks as maintaining the location of information is indispensable in applications such as routing, target tracking. Beacons (known-location nodes) are one key approach to achieving localization in wireless networks. In this paper we propose a Beacon Movement Detection Schemes such as Location based, Neighbor based, Energy Saving Scheme, Modeling of Broadcasting Scheme, RSS-based localization and DV-hop using the distance vector exchange so that all nodes in the network get distances, in hops, to the landmarks and reliability factor information for wireless sensor networks during simulations, we evaluate the proposed schemes and examine their capability to improve the localization accuracy in events of beacon movement which improves localization.Keywords
Energy Efficient Organization, Localization, RSS-Based Localization Scheme, Energy Saving Scheme, DV-Hop, Signal Strength.- Prediction of Hyperglycemia in Diabetic Patients Using Data Mining Techniques
Abstract Views :103 |
PDF Views:0
Authors
Affiliations
1 Department of Master of Computer Applications, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, Tamil Nadu, IN
1 Department of Master of Computer Applications, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, Tamil Nadu, IN
Source
International Journal of Scientific Engineering and Technology, Vol 3, No 5 (2014), Pagination: 668-670Abstract
Diabetes mellitus is a group of metabolic diseases in which a person hyperglycemia, either because the pancreas does not produce enough insulin, or because body's cell does not respond to the insulin that is produced. In diabetics patients the improper control of blood glucose level will lead to many complications. Prediction of hyperglycemia events is by Continuous Glucose monitoring. In this paper prediction of hyperglycemia uses ARIMA model and METABO system. The prediction of blood glucose is done every 10 or 15 minutes. The METABO system is which aims at monitoring of diabetics and recording, interpreting. The results are processed with proper system modeling.Keywords
Hyperglycemia, Data Mining, METABO System, ARIMA Model.- Efficiently Design for Cross Layer Optimization Using Handover Scheme in Vehicle Adhoc Networks
Abstract Views :100 |
PDF Views:0
Authors
Affiliations
1 Dept. of MCA, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, IN
1 Dept. of MCA, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, IN