Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46768
Title: Received signal strength based localization of a wireless sensor network using particle swarm optimization
Authors: Nguyen, Hong Anh
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2010
Source: Nguyen, H. A. (2010). Received signal strength based localization of a wireless sensor network using particle swarm optimization. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: Wireless sensor network (WSN) has been actively researched in recent years because of its wide range of applications such as natural habitat monitoring, healthcare, home automation, traffic management and military applications. In many cases, the sensed data is not useful without knowing the sensor nodes' locations. Localization algorithms can be categorized as range-free and range-based. In this research, the radio frequency (RF) based approach is used. In conventional RF-based approaches, the path loss parameters in the received signal strength (RSS) - distance model are often determined based on extensive measurements conducted offline. Because the RSS measurements fluctuate with the environment, the use of fixed path loss parameters would reduce the localization accuracy. The purpose of this research is to develop a RF-based localization algorithm where the path loss parameters and the unknown locations are determined simultaneously in real time.
Description: 145 p.
URI: https://hdl.handle.net/10356/46768
DOI: 10.32657/10356/46768
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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