Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
COMMUNICATIONS OF THE ACM May 2000/Vol. 43, No. 5 51 For pervasive computing performance, exploit the physical limits of these densely distributed networks of embedded sensors, controls, and processors. W ireless integrated network sen- sors (WINS) provide distrib- uted network and Internet access to sensors, controls, and processors deeply embedded in equipment, facilities, and the environment. The WINS network represents a new monitoring and control capability for applications in such industries as transportation, manufacturing, health care, environmental oversight, and safety and security. WINS combine microsensor technology and low-power signal processing, computation, and low-cost wireless networking in a compact system. Recent advances in integrated circuit technology have enabled construction of far more capable yet inexpensive sensors, radios, and processors, allowing mass production of sophisti- cated systems linking the physical world to digital data networks [2–5]. Scales range from local to global for applica- tions in medicine, security, factory automation, envi- ronmental monitoring, and condition-based maintenance. Compact geometry and low cost allow WINS to be embedded and distributed at a fraction of the cost of conventional wireline sensor and actu- ator systems. WINS opportunities depend on development of a scalable, low-cost, sensor-network architecture. Such applications require delivery of sensor information to the user at a low bit rate through low-power trans- ceivers. Continuous sensor signal processing enables the constant monitoring of events in an environment in which short message packets would suffice. Future applications of distributed embedded processors and sensors will require vast numbers of devices. Con- ventional methods of sensor networking represent an impractical demand on cable installation and net- work bandwidth. Processing at the source would drastically reduce the financial, computational, and management burden on communication system ± G.J. Pottie and W.J. Kaiser WIRELESS INTEGRATED NETWORK SENSORS
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
components, networks, and human resources. Here, we limit ourselves to a security application designed to detect and identify threats within some geographic region and report the decisions concerning the presence and nature of such threats to a remote observer via the Internet. In the context of this appli- cation, we describe the physical principles leading to consideration of dense sensor networks, outline how energy and bandwidth constraints compel a distrib- uted and layered signal processing architecture, outline why network self-organization and reconfiguration are essential, discuss how to embed WINS nodes in the Internet, and describe a prototype platform enabling these functions, including remote Internet control and analysis of sensor-network operation. Physical Principles
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 8


This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online