Wireless Localization Techniques

Summary

Wireless sensor networks are a significant technology attracting considerable research attention in recent years. It is one of the most important technologies for the 21st century. Recent advances in wireless communications and electronics have enabled the development of low-cost, low-power and multi-functional sensor nodes that are small in size and communicate in short distances. These tiny sensor nodes, which consist of sensing, data processing, and communicating components, bring the idea of wireless sensor networks into reality. Sensor networks represent a significant improvement over traditional sensors. Cheap, smart sensors, networked through wireless links and deployed in large numbers, provide unprecedented opportunities for monitoring and controlling homes, cities, and the environment. In addition, networked sensors have a broad spectrum of applications in the defense area, generating new capabilities for reconnaissance and surveillance as well as other tactical applications.
Emerging applications for wireless sensor networks will depend on automatic and accurate location of thousands of sensors. In environmental sensing applications such as bush fire surveillance, water quality monitoring, precision agriculture, and indoor air quality monitoring, "sensing data without knowing the sensor location is meaningless". In addition, location estimation may enable applications such as inventory management, intrusion detection, traffic monitoring, and telecare, etc. In this research we shall investigate distributed location estimation algorithms in wireless sensor networks and its applications. Particularly we will both investigate theoretical problems in the area of large-scale sensor network localization and develop various localization techniques to solve practical problems encountered by our industrial partners in various application scenarios.

Supervisor(s)

Associate Professor Guoqiang Mao

Research Location

Electrical and Information Engineering

Program Type

Masters/PHD

Synopsis

Wireless sensor networks are a significant technology attracting considerable research attention in recent years. It is one of the most important technologies for the 21st century. Recent advances in wireless communications and electronics have enabled the development of low-cost, low-power and multi-functional sensor nodes that are small in size and communicate in short distances. These tiny sensor nodes, which consist of sensing, data processing, and communicating components, bring the idea of wireless sensor networks into reality. Sensor networks represent a significant improvement over traditional sensors. Cheap, smart sensors, networked through wireless links and deployed in large numbers, provide unprecedented opportunities for monitoring and controlling homes, cities, and the environment. In addition, networked sensors have a broad spectrum of applications in the defense area, generating new capabilities for reconnaissance and surveillance as well as other tactical applications.
Emerging applications for wireless sensor networks will depend on automatic and accurate location of thousands of sensors. In environmental sensing applications such as bush fire surveillance, water quality monitoring, precision agriculture, and indoor air quality monitoring, "sensing data without knowing the sensor location is meaningless". In addition, location estimation may enable applications such as inventory management, intrusion detection, traffic monitoring, and telecare, etc. In this research we shall investigate distributed location estimation algorithms in wireless sensor networks and its applications. Particularly we will both investigate theoretical problems in the area of large-scale sensor network localization and develop various localization techniques to solve practical problems encountered by our industrial partners in various application scenarios.

Additional Information

http://www.ee.usyd.edu.au/people/guoqiang.mao/index.html

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Keywords

Wireless Sensor Networks, wireless multi-hop networks, localization

Opportunity ID

The opportunity ID for this research opportunity is: 1345

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