Michael Loiacono

Learn More
Current rate adaptation schemes for 802.11 exhibit sudden and severe drops in throughput in real application scenarios. Although there have been several propositions to remedy such rate adaptation failures, there has not been a thorough analysis of the causes that lead to such a “Snowball Effect.” This paper provides an analysis of the factors that lead to(More)
We propose a distributed cross-layer congestion control algorithm that provides enhanced QoS and reliable operation for real-time uplink video over WiFi applications. Such applications are characterized by many wireless devices transmitting video at various PHY rates over a relatively congested channel. Unfortunately, today’s off-the-shelf 802.11 equipment(More)
Current link adaptation algorithms for IEEE 802.11 WLANs exhibit behavior which makes them unsuitable for transmission of multiple simultaneous real-time uplink video streams. First, these algorithms do not consider the properties of the video codec, and hence, are unaware of the impact of PHY rate selection on the perceptual quality of the received video.(More)
In this paper, we introduce a peer-to-peer sensor network (P2PWSNDAS) architecture with pipelined time division scheduling for sensor data acquisition from an ad hoc wireless sensor network (WSN). P2PWSNDAS takes a service-oriented, data-centric view of the deployed WSN. The wireless sensors that constitute the WSN measure physical attributes of the(More)
  • 1