Thesis Topic Details

Topic ID:
3393
Title:
Design of an Indoor Sensor Network for Data Collection in Smart Environments
Supervisor:
Salil Kanhere
Research Area:
Sensor Networks, Embedded Systems
Associated Staff
Assessor:
Sanjay Jha
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE SE
Group Suitable:
Yes
Industrial:
No
Pre-requisites:
COMP3331, good programming skills
Description:
Smart building automation systems interact with the physical environment in order to increase the user's comfort, cater to more safety, and/or lead to energy savings. To be able to react to a given setting of the environment (its so called "context") appropriately, manifold different sensing modalities need to be captured at the same time. Wireless sensor networks (WSNs) are a widespread technology to collect environmental sensor data, and will be re-purposed to this end within the frame of this thesis project.

The goal of this thesis is to set up a wireless sensor network to monitor physical phenomena in indoor environments. The sensors will be based on the TelosB (tmote sky) platform, and should be able to feature long lifetimes by means of energy-efficient algorithm design. In order to capture phenomena which are not natively supported by the TelosB's sensor suite, minor hardware modifications, e.g., the addition of further sensing modalities like motion sensors (some soldering and a little mechanical work), will be necessary. In order to optimise the energy efficiency of the nodes' operations, data collected from a real-world setting shall also be analysed with regard to the optimum sampling intervals and possible local processing (e.g., data compression or aggregation) to maximise the node lifetimes.
Comments:
There will be opportunity for collaboration with the Australian Energy Research Institute @ UNSW. Sufficient support and mentoring will be available.
Past Student Reports
  Ronald KWAN in s2, 2013
Design of an Indoor Sensor Network for Data Collection in Smart Environments
 

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