Self-Configuring Wireless Transmission and Decentralized Data Processing for Generic Sensor Networks
Abstract
This report describes the results of the Self-Configuring Wireless Sensor Network effort at Cornell University, funded under the DARPA SensIT program. The primary goal of this effort was the development of core technologies for large sensor networks that are truly self-configuring. Such networks should not depend on fixed emplacements or predefined topologies. Control by a centralized authority should be minimized; all aspects of network management should be handled in a distributed manner, with all network elements sharing a collective responsibility of performance maintenance. Our technology development fell into three basic areas. First, we conducted an in-depth study of phase transitions and complexity in large wireless networks. Our goal in this area was the identification of complexity thresholds, bounding the computational complexity of management protocols for extremely large networks. Second, we considered the use of game theory in the development of truly distributed network control algorithms. Finally, we developed models for the trade-off between energy conservation and robustness in wireless networks.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2004
- Accession Number
- ADA425425
Entities
People
- Steven B. Wicker
Organizations
- Cornell University College of Engineering