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Project Introduction

The recent advancement of ubiquitous computing, sensing, distributed control and embedded systems
has enabled a wide spectrum of smart building applications, such as surveillance for public safety, power
monitoring and control for energy saving, patient monitoring for health care, and hazard detection for dis-
aster response. The deployments of those sensing and control systems have been tested in a number of
small-scale houses and labs. However, due to the use of simplified isotropic sensing model, the initial de-
ployments usually do not yield satisfactory sensing quality in real world settings. As a result, adjustment of
initial deployment or even multiple redeployments are typically required, which introduces high overhead
and decreased quality of applications. The inefficiency and inaccuracy of existing sensor deployment call
for new research solutions.

The desired solution shall systematically guide the sensor deployment through the integration of sensing and communication considerations. To accomplish this task, this works aims at

1. addressing a fundamental challenge that is essentially tied with the nature of heterogeneity of sensors: non-isotropic sensing models,
2. proposing a set of deploying solutions suitable for a wide range of sensor systems, 
3. designing and implementing an open test-bed and simulation tools to evaluate real world deployments for the community.

Challenges

The set of deployment problems would strive for full sensor coverage and wireless connectivity with a complex
floor plan, and involve one or more of the following constraints:

• Non-isotropic model using visibility (cameras and tripwires)
• Non-overlapping sensing range
• Robust 2-coverage for accurate localization

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