Sanat Sarangi

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Wisekar - the WIreless SEnsor Knowledge ARchive is presented. It is a centralized web repository for collection, management and distribution of events from sensor-enabled devices towards realization of the Internet of Things (IOT). Wisekar offers flexible multimodal event contribution methods adapted to a variety of user skill and requirement levels. Along(More)
A lot of research has been done in finding range-based methods such as computing RSSI, Time Of Arrival, Angle of Arrival or Time Difference of Arrival and range-free methods such as Centroid computation, DV-Hop and Approximate Position in Triangle, for localization in wireless sensor networks. Range-based methods estimate location more precisely than(More)
We propose a novel reactive routing algorithm called PARTROUTE which achieves energy efficient routing in sensor networks with stationary and mobile nodes. PARTROUTE uses coarse mobility awareness in each node to reduce the overheads of reactive routing by intelligently re-using parts of the created on-demand routes beyond their standard lifetime. We show(More)
Clustering in wireless sensor networks improves lifetime of the network by load distribution, data aggregation and use of clusterheads to efficiently route messages to the central gateway. Parameters governing creation of optimal clusters are often numerous and domain-specific. The challenges increase with mobile nodes due to faster temporal change in one(More)
In this paper an improved version of the graded precision localization algorithm GRADELOC, called IGRADELOC is proposed. The performance of GRADELOC is dependent on the regions formed by the overlapping radio ranges of the nodes of the underlying sensor network. A different region pattern could significantly alter the nature and precision of localization.(More)
This paper presents an application of a user modelling web service in personalizing interfaces for users with age-related and physical impairment. The user model stores user profile in standardized format independent of application and device. It allows users to carry the profile with them irrespective of device and application. The user modelling web(More)
A wireless sensor network based precision animal management system developed by us called Moosense is presented. Moosense is deployed in the Livestock Research Centre (LRC) of National Dairy Research Institute (NDRI) Karnal. It is spread across a cluster of sensor networks where each cluster has a set of specialized systems, installed on the ground or(More)