Cognitive Packet Networks / SPs / Ad Hoc Networks / Power-Aware Adhoc Cognitive Packet Networks / INTRODUCTION Mobile Ad Hoc Networks / J. Computer Networks / Ad Hoc Cognitive Packet Networks / IEEE Journal / Low Power Electronics / /
Country
Japan / United Kingdom / /
Event
M&A / /
Facility
Farhad Zonoozi Imperial College / /
IndustryTerm
adjacent communications / end systems / random neural network / random neural networks / source routing protocol / energy consumption / show significant energy savings / ubiquitous mobile computing / power control algorithm / Energy vs. / minimal energy consumption / energy consuming / adaptive fidelity algorithm / interference communications / wireless communications / reinforcement-learning algorithm / power control algorithms / adaptive routing algorithm / packet networks / mobile wireless networks / radio communications / Wireless Communication / node energy / energy / /
MusicGroup
The Network / /
Organization
IN AD / Farhad Zonoozi Imperial College London Department of Electrical and Electronic Engineering South Kensington / Engineering and Physical Sciences Research Council / IEEE Computer Society / /
Position
guard / /
ProvinceOrState
California / /
Technology
adaptive fidelity algorithm / RNN algorithm / CLUSTERPOW algorithm / neural network / proposed algorithm / adaptive routing algorithm / wireless communications / two known algorithms / power control algorithms / Mobile Computing / power control algorithm / reinforcement-learning algorithm / Simulation / Quality of Service / Power-aware source routing protocol / Min-Max algorithm / /
POWER CONTROL IN AD HOC COGNITIVE PACKET NETWORKS Ricardo Lent, Farhad Zonoozi Imperial College London Department of Electrical and Electronic Engineering South Kensington, SW7 2BT London, UK