23.03.2017 Views

wilamowski-b-m-irwin-j-d-industrial-communication-systems-2011

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Industrial Strength Wireless Multimedia Sensor Network Technology 11-9<br />

e.g., Transperth CAT service. WMSN identifies traffic patterns; chain effects; and scenarios in volume,<br />

capacity, and rate of change in networks of roads that will lead to heavy congestion or traffic jams.<br />

Sensors could also detect violations and transmit video streams to law-enforcement agencies to identify<br />

the violator, or buffer images and streams in case of accidents for subsequent accident scene analysis.<br />

The significance of WMSN is twofold: First, it is cost-effective as it eliminates the need to have a dedicated<br />

wired infrastructure for <strong>communication</strong> with the traffic control center and, second, its deployment<br />

is highly flexible, i.e., the wireless motes can be easily reconfigured for deploying at a new location.<br />

11.5.3 Personal and Health Care<br />

Health care is the prevention, treatment, and management of illness and the preservation of mental and<br />

physical well-being through the services offered by the medical, nursing, and allied health professions.<br />

According to World Health Organization health care embraces all the goods and services designed to promote<br />

health, including “preventive, curative, and palliative interventions, whether directed to individuals<br />

or to populations.” The organized provision of such services may constitute a health-care system.<br />

Multimedia sensor networks can also be used in elderly personal and health care. WMSN is used<br />

to identify the causes of illnesses that affect the elderly (e.g., dementia [R05]). Networks of wearable or<br />

video and audio sensors can infer emergency situations and immediately connect elderly patients with<br />

remote assistance services or with relatives. WMSN with telemedicine sensors can be used in monitoring<br />

patients parameters such as body temperature, blood pressure, pulse oximetry, electrocardiogram,<br />

and breathing activity remotely [HK03].<br />

11.5.4 Habitat Monitoring<br />

An explicitly spatial definition of habitat: The physical and biological environment used by an individual,<br />

a population, a species, or perhaps a group of species. Habitat-monitoring schemes evaluate the<br />

conservation status of habitats or habitat types by estimating the following sets of habitat attributes:<br />

extent, biotic composition, biological structure, and physical structure. Habitat-monitoring schemes<br />

can be classified into those with and those without a spatial aspect. Both can monitor one, few, most, or<br />

all specific habitat types within a country, region, or landscape.<br />

Several projects on habitat monitoring that use acoustic and video feeds are being envisaged, in which<br />

information has to be conveyed in a time-critical fashion. For example, Intel Research Laboratory at<br />

Berkeley initiated a collaborative project with the College of the Atlantic in Bar Harbor and the<br />

University of California at Berkeley to deploy wireless sensor networks on Great Duck Island, Maine.<br />

Their goal was to establish a habitat-monitoring kit for researchers worldwide.<br />

11.5.5 target Tracking<br />

Tracking concerns setting up a track on other objects momentarily viewed from the observer’s own location.<br />

Target tracking concerns a process starting with determining the current and past locations and<br />

other status of property in transit. Tracking and tracing is the completion of this process with uniformly<br />

building a track of such property that are forwarded to, processed for, applied in, or disposed of usage.<br />

WMSN can also be used in target-tracking application, where acoustic sensors are adopted to localize<br />

the target. Each sensor node can acquire acoustic signals from the target. Various efficient algorithms are<br />

used to perform robust target-position forecasting during target tracking. Then sensor nodes around the<br />

target are awakened according to the forecasted target position. With committee decision of sensor nodes,<br />

target localization is performed in a distributed manner and the uncertainty of detection is reduced.<br />

These WMSN applications are very useful and interesting; however, they bring with them a lot of<br />

challenges that need to be considered when developing any new WMSN motes or deploying a WMSN<br />

network. These technical challenges are discussed in the following section.<br />

© <strong>2011</strong> by Taylor and Francis Group, LLC

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!