Abstract

This paper addresses the existing research and adds another aspect of functionality by incorporating pertinent sensor nodes to provide a dynamic location discovery and estimation. The software used provides an easy graphical user interface to visualize a particular location in accordance with geographical latitude and longitude. A simple real time location estimation technique is worked out for wireless sensor networks based on manual deployment of sensors. The proposed scheme finds more efficient solutions with less quantity of sensors as compared to existing deployment schemes. The set up is evaluated exclusively in real environments using IRIS sensor nodes supported by a global positioning system module to provide visualization of an outdoor location. The results are offered by Google Earth application.

Highlights

  • Wireless sensor networks have been identified as one of the most prominent technologies for the 21st century [1]

  • A simple real time location estimation technique is worked out for wireless sensor networks based on manual deployment of sensors

  • In this paper we present a solution for estimating the location of sensor nodes in a manually framed Wireless Sensor Network (WSN) by using Mote View 2.0.1F software

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Summary

Introduction

Wireless sensor networks have been identified as one of the most prominent technologies for the 21st century [1]. Sensor networks find more prosperous grounds to spread in areas where traditional networks fail or are inadequate. They find applications in a variety of areas such as climate monitoring, military use, industry and sensing information from inhospitable locations. The software has a complete computational stack and provides a reliable IRIS sensor platform for monitoring the location of the manually placed nodes in terms of latitude and longitude values. The IRIS sensor nodes have open access to the outdoor environment as they are placed manually on a roof top of a building; the exact location of the building or site is obtained in terms of relative latitude and longitude.

Related Work and Background
System Description and Overview
Conclusions and Future
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