Localization in wireless sensor networks is used to track and analyze information sensed by nodes. Localization techniques typically estimate node position based on a set of sensor nodes, denoted as anchors, that are aware of theirgeographic positions. Many localization algorithms are proposed in the literature, mainly using the Distance Vector...
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July 2, 2019 (v1)Conference paperUploaded on: December 4, 2022
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March 22, 2018 (v1)Conference paper
A wireless sensor network (WSN) is consisting of a set of sensor nodes with a limited energy stored in their batteries. Generally, replacing or charging the battery is hard and inefficient. Further, the main critical aspect of applications based on wireless sensor networks is their lifetime. Therefore, judicious power management with optimized...
Uploaded on: December 4, 2022 -
January 23, 2024 (v1)Publication
Certain applications of wireless sensor networks require that the sensor nodes should be aware of their position relative to the sensor environment. Generally in the applications of positioning in the internet of things (IoT), there is a deficiency of localization precision and concrete results. It is really important to maintain high-efficient...
Uploaded on: January 26, 2024 -
January 23, 2024 (v1)Publication
As localization represents the main core of various wireless sensor network applications, several localization algorithms have been suggested in wireless sensor network research. In this article, we put forward an iterative bounding box algorithm enhanced by a Kalman filter to refine the unknown node's estimated position. In fact, several...
Uploaded on: January 26, 2024