Informatics Publishing Limited

S. Raj Anand ¹, E. Kannan ², E. Kamalanaban ³

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

Abstract

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.

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K. Jothi ¹, M. Ramya ¹, S. Kauser ¹, L. Thomas Robinson ¹, S. Raj Anand ¹

Affiliations
1 Department of Master of Computer Applications, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, Tamil Nadu, IN

Abstract

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.

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B. Saranya ¹, V. Sakthika ¹, R. Vijiyalatha ¹, M. New Begin ¹, S. Raj Anand ¹

Affiliations
1 Dept. of MCA, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, IN

Abstract

In the world of internet and more use of wireless technology, there is increasing claim for internet in vehicles. Due to this purpose VANET is playing an important part in inter-vehicular as well as infrastructure based communication in Intelligent Transport Systems (ITS). These systems are aimed at addressing critical issues like passenger safety and traffic congestion, while integrating information and communication technologies into transportation infrastructure on vehicles. They are built on top of self-organizing networks, known as a vehicular Ad hoc Networks (VANET), composed of mobile vehicles connected by wireless links. In high speed roadways WiMAX Mobile Multihop Relay (MMR) is playing an important part in VANET for vehicles. We can have certain vehicles as Relay Vehicles (RV's) which can provide internet access to oncoming vehicles or other passenger vehicles. Since we do not know how far a RV is or when it is going to arrive, we require a fast handover technology so that a lot of contrary due to delay can be reduced. In this paper we are going to analyze the connectivity of Dense and Sparse network using Cross Layer vehicular Handover Scheme in VANETS, also we are going to tell some main issues over security among the inter-vehicular communication and synchronization between RV's. So, we can optimize the connectivity in cross layer vehicular ADHOC networks.

Keywords

Cross Layer, VANET, Dense Network, Sparse Network.

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