— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
— Beamforming antennas have been shown to improve spatial reuse in wireless networks. Protocols that aim to exploit beamforming antennas have leveraged benefits from directional...
— The efficiency of sensor networks depends on the coverage of the monitoring area. Although in general a sufficient number of sensors are used to ensure a certain degree of re...
Several recent proposals for sharing congestion information across concurrent flows between end-systems overlook an important problem: two or more flows sharing congestion state...
Aditya Akella, Srinivasan Seshan, Hari Balakrishna...
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...