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Literature Survey for Source Localization in Wireless Sensor Networks


Affiliations
1 M.E Communication System, PET Engineering College Valliyoor, Tirunelveli, India
2 Electronics and Communication, PET Engineering College Valliyoor, Tirunelveli, India
     

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Source localization has been one of the central problems in many fields such as radar, sonar, telecommunications, mobile communications and sensor networks. A common technique for source localization is to utilize signal strength measurements of the emitted source received at an array of spatially separated sensors. The received signal strength (RSS) information defines a set of circular equations from which the source position can be calculated with the knowledge of the sensor positions. But in the conventional methods, shadow fading is the major challenge, which corresponds to multiplicative measurement errors. In order to overcome this shadow fading problem, two linear least squares (LLS) estimators are proposed in this project. The first one is a best linear unbiased estimator while the second is its improved version by exploiting the known relation between the position and range estimates. By using the two estimators, we can get the accurate location of the source. 


Keywords

Best Linear Unbiased Estimator, Received Signal Strength, Positioning Algorithms, Shadow Fading.
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  • Literature Survey for Source Localization in Wireless Sensor Networks

Abstract Views: 259  |  PDF Views: 3

Authors

T. M. Reena Sughi
M.E Communication System, PET Engineering College Valliyoor, Tirunelveli, India
P. Kannan
Electronics and Communication, PET Engineering College Valliyoor, Tirunelveli, India

Abstract


Source localization has been one of the central problems in many fields such as radar, sonar, telecommunications, mobile communications and sensor networks. A common technique for source localization is to utilize signal strength measurements of the emitted source received at an array of spatially separated sensors. The received signal strength (RSS) information defines a set of circular equations from which the source position can be calculated with the knowledge of the sensor positions. But in the conventional methods, shadow fading is the major challenge, which corresponds to multiplicative measurement errors. In order to overcome this shadow fading problem, two linear least squares (LLS) estimators are proposed in this project. The first one is a best linear unbiased estimator while the second is its improved version by exploiting the known relation between the position and range estimates. By using the two estimators, we can get the accurate location of the source. 


Keywords


Best Linear Unbiased Estimator, Received Signal Strength, Positioning Algorithms, Shadow Fading.