2009Unpublished venueRequires access

Distance measurement and error estimation scheme for RSSI based localization in Wireless Sensor Networks

Praveen Kumar, L.Dhananjaya reddy, Shirshu Varma

Open publisher page 208 citations

Abstract

With the advent of Wireless Sensor Networks (WSN's) covering a whole gamut of applications which is getting broader by the day and it is indeed necessary to study the nuances in WSN out of which aforementioned is one. WSN's consists of large number of deployed sensor nodes and a base node for aggregating data from deployed sensor nodes. Wireless Sensor Network's (WSN) are attribute based and they are not concerned about the location of deployed sensor node from which the base node is receiving the data. In certain specific applications like health monitoring systems, tracking systems and dynamic networks, the location of transmitting node is essential. Location of the deployed sensor nodes can be found either by TOA, TDOA or Received Signal Strength (RSS) measurements. In this paper we tried to estimate the approximated distances of deployed sensor nodes using RSS measurements. The estimated distances can be further used for locating the position of deployed sensor nodes. The working model has been realised in TinyOs and RSS measurements are made using Telosb nodes.

About this research paper

What this paper is about

With the advent of Wireless Sensor Networks (WSN's) covering a whole gamut of applications which is getting broader by the day and it is indeed necessary to study the nuances in WSN out of which aforementioned is one. WSN's consists of large number of deployed sensor nodes and a base node for aggregating data from deployed sensor nodes. Wireless Sensor Network's (WSN) are attribute based and they are not concerned about the location of deployed sensor node from which the base node is receiving the data. In certain specific applications like health monitoring systems, tracking systems and dynamic networks, the location of transmitting node is essential. Location of the deployed sensor nodes can be found either by TOA, TDOA or Received Signal Strength (RSS) measurements. In this paper we tried to estimate the approximated distances of deployed sensor nodes using RSS measurements. The estimated distances can be further used for locating the position of deployed sensor nodes. The working model has been realised in TinyOs and RSS measurements are made using Telosb nodes.

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Available abstract

With the advent of Wireless Sensor Networks (WSN's) covering a whole gamut of applications which is getting broader by the day and it is indeed necessary to study the nuances in WSN out of which aforementioned is one. WSN's consists of large number of deployed sensor nodes and a base node for aggregating data from deployed sensor nodes. Wireless Sensor Network's (WSN) are attribute based and they are not concerned about the location of deployed sensor node from which the base node is receiving the data. In certain specific applications like health monitoring systems, tracking systems and dynamic networks, the location of transmitting node is essential. Location of the deployed sensor nodes can be found either by TOA, TDOA or Received Signal Strength (RSS) measurements. In this paper we tried to estimate the approximated distances of deployed sensor nodes using RSS measurements. The estimated distances can be further used for locating the position of deployed sensor nodes. The working model has been realised in TinyOs and RSS measurements are made using Telosb nodes.

Key concepts: Wireless sensor network, RSS, Computer science, Multilateration, Node (physics), Sensor node, Key distribution in wireless sensor networks, Real-time computing

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