Proposed herein is a complete solution to choose the appropriate PHY mode for delivering packets between nodes based on loss differentiation and sample rate. With the proper PHY mode selection, the described techniques are capable of distinguishing between fading and collision as the source of poor network performance, which can greatly assist in decreasing the latency of frames in low-power and lossy networks (LLNs)
The embodiments presented herein relate to low-power and lossy networks (LLNs), and more specificall...
The stability of the Internet depends on the presence of well-behaved flows. While TCP forms the maj...
The design of efficient IEEE 802.11 physical (PHY) rate adaptation algorithms is a challenging resea...
Techniques are described herein to distinguish fading for adaptive modulation in a Low power and Los...
Data rate adaptation is the process to select the optimal data rates for instantaneous channel condi...
Techniques are described herein for a switch strategy based on actor-critic reinforcement learning. ...
Techniques are described herein to improve Quality of Service (QoS) performance of Low power and Los...
Rate adaptation in wireless networking aims to seek the optimal data transmission rate most appropri...
With the continued growth of the Internet of Things (IoT) different types of Low-Power and Lossy Net...
Techniques are described herein for a proactive method to achieve faster reformation in Lower-power ...
Techniques are described herein for providing an intelligent and dynamic routing policy for Quality ...
Nowadays, low Power and Lossy Networks (LLNs) are one of the most exciting fields of study. LLNs inc...
In this paper, we introduce Drizzle, a new algorithm for maintaining routing information in the Low-...
Techniques are described herein for a random forest - based mechanism to select network parameters i...
Techniques are provided herein for intelligent transmission power control under different transmissi...
The embodiments presented herein relate to low-power and lossy networks (LLNs), and more specificall...
The stability of the Internet depends on the presence of well-behaved flows. While TCP forms the maj...
The design of efficient IEEE 802.11 physical (PHY) rate adaptation algorithms is a challenging resea...
Techniques are described herein to distinguish fading for adaptive modulation in a Low power and Los...
Data rate adaptation is the process to select the optimal data rates for instantaneous channel condi...
Techniques are described herein for a switch strategy based on actor-critic reinforcement learning. ...
Techniques are described herein to improve Quality of Service (QoS) performance of Low power and Los...
Rate adaptation in wireless networking aims to seek the optimal data transmission rate most appropri...
With the continued growth of the Internet of Things (IoT) different types of Low-Power and Lossy Net...
Techniques are described herein for a proactive method to achieve faster reformation in Lower-power ...
Techniques are described herein for providing an intelligent and dynamic routing policy for Quality ...
Nowadays, low Power and Lossy Networks (LLNs) are one of the most exciting fields of study. LLNs inc...
In this paper, we introduce Drizzle, a new algorithm for maintaining routing information in the Low-...
Techniques are described herein for a random forest - based mechanism to select network parameters i...
Techniques are provided herein for intelligent transmission power control under different transmissi...
The embodiments presented herein relate to low-power and lossy networks (LLNs), and more specificall...
The stability of the Internet depends on the presence of well-behaved flows. While TCP forms the maj...
The design of efficient IEEE 802.11 physical (PHY) rate adaptation algorithms is a challenging resea...