Washington DC / Cancun / Las Vegas / Rennes / Antibes / Amsterdam / Los Alamitos / Reading / Bedford / Bruxelles / Marina del Rey / Rapport / Adelaide / College Park / Brussels / New Haven / /
Company
Jet Propulsion Laboratory / British Telecommunications / MIT Press / Advanced Telecommunications / IEEE Intl / E AB / Oxford University Press / IEEE Computer Society Press / Wireless Communication Networks / France Telecom / Multi-Agent Systems / R.J. Williams L.C. / ACM/IEEE Intl / HP / Learning Systems / MCI Worldcom / Andrew Gray Jet Propulsion Laboratory / /
Country
Netherlands / France / Australia / United Kingdom / Mexico / Belgium / United States / /
Event
FDA Phase / /
Facility
University of Washington / California Institute of Technology / National Institute of Standards and Technology / Carleton University / Jet Propulsion Laboratory / University of Twente / Delft University of Technology / University of Washington Seattle / /
IndustryTerm
telephone network management / energy optimization / infrastructureless networking / energy conservation / residual energy / network communications problems / conventional centralized telecommunications approaches / multihop ad-hoc networks / telephone network / communications networks / telcommunications networks / wireless mobile nodes / adaptive wireless network design / spectral management / imaging / adaptive agent-based routing algorithm / energy / ad-hoc wireless networks / energy consumption / wireless system / sensor networks / typical applications / telephone communication networks / precious energy overhearing transmissions / telecommunications / residual battery energy / seismic and acoustic sensor networks / wireless ad-hoc networks / orbit satellite constellation networks / layer power optimization algorithm / communication networks / sensor network / network communications / wireless network / potential solution / telecommunications networks / biological systems / food gathering operations / onsite disaster relief management / redirection algorithms / swarm-based routing algorithms / temporary network / phone networks / food sources / ad hoc network / mobile wireless networks / wireless networks / datagram networks / telephone networks / energy-conserving routing / ad hoc networks / indirect communications / intelligent sensor network routing algorithm / genetic algorithms / actor-critic systems / transport layer protocols / mobile ad hoc networks / energy-limited ad-hoc wireless networks / network management / telephone traffic / communication network / packet-switched communications networks / minimum residual energy path / ad-hoc network / ant colony algorithms / choosing the minimum residual energy path / routing in wireless ad-hoc networks / /
Organization
University of Washington / Delft University of Technology / National Institute of Standards and Technology / Internet Engineering Task Force / University of Washington Seattle / Oxford University / California Institute of Technology / Faculty of Technical Informatics / MIT / Yale / Technical Report SCE-97-15 / Systems and Computer Engineering Department / Congress / University of Twente / National Aeronautics and Space Administration / Carleton University / Earth Science Technology Office / /
Person
M. Ward / Robert J. Marks II / Mohamed El-Sharkawi / /
Position
Actor-Critic / conventional web controller / representative / Forward / actor / Raw Reinforcement Critic / critic / Scientist / centralized controller / controller / /
Product
Swarm Intelligence Payman Arabshahi / E2MaC / /
ProgrammingLanguage
Hoc / /
ProvinceOrState
Connecticut / Washington / California / Maryland / Nevada / Massachusetts / Mississippi / /
PublishedMedium
Journal of Artificial Intelligence Research / New Scientist / Scientific American / Machine Learning / The New Scientist / /
Technology
transport layer protocols / Quality of Service / packet-switched / two algorithms / AntNet algorithm / adaptive agent-based routing algorithm / Two ant colony algorithms / Flow redirection algorithms / MAC layer power optimization algorithm / routing algorithm / intelligent sensor network routing algorithm / proposed algorithms / ATM / Machine Learning / Pdf / pheromones / swarm-based routing algorithms / load balancing / artificial intelligence / Mobile Computing / MAC protocol / 4 Algorithms / Intelligent network / /
Adaptive Routing in Wireless Communication Networks using Swarm Intelligence Payman Arabshahi, Andrew Gray Jet Propulsion Laboratory 4800 Oak Grove Drive, MS[removed]Pasadena, CA[removed]USA