In this paper, we aim to determine the location information of a node deployed in Wireless Sensor Networks (WSN). We estimate the position of an unknown source node using localization based on linear approach on a single simulation platform. The Cramer Rao Lower Bound (CRLB) for position estimate is derived first and the four linear approaches namely Linear Least Squares (LLS), Subspace Approach (SA), Weighted Linear Least Squares (WLLS) and Two-step WLS have been derived and presented. Based on the simulation study the results have been compared. The simulation results show that the Two-step WLS approach is having higher localization accuracy.
Introduction: Post-partum haemorrhage is defined as blood loss from the genital tract, exceeding 500ml within 24hours of vaginal delivery and 1000ml during caesarean section. It is also now a day defined as any blood loss that has a potential to produce or produces hemodynamic instability. Massive obstetric haemorrhage is a major cause of maternal mortality and morbidity worldwide. Aims and Objectives: Objective of the study is to evaluate the most common etiology and method of management of Postpartum Haemorrhage in a rural tertiary care hospital of SAH &RC.
We consider the problem of localizing a target taking the help of a set of anchor beacon nodes. A small number of beacon nodes are deployed at known locations in the area. The target can detect a beacon provided it happens to lie within the beacon's transmission range. Thus, the target obtains a measurement vector containing the readings of the beacons: '1' corresponding to a beacon if it is able to detect the target, and '0' if the beacon is not able to detect the target. The goal is twofold: to determine the location of the target based on the binary measurement vector at the target; and to study the behaviour of the localization uncertainty as a function of the beacon transmission range (sensing radius) and the number of beacons deployed. Beacon transmission range means signal strength of the beacon to transmit and receive the signals which is called as Received Signal Strength (RSS). To localize the target, we propose a gridmapping based approach, where the readings corresponding to locations on a grid overlaid on the region of interest are used to localize the target. To study the behaviour of the localization uncertainty as a function of the sensing radius and number of beacons, extensive simulations and numerical experiments are carried out. The results provide insights into the importance of optimally setting the sensing radius and the improvement obtainable with increasing number of beacons.
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