A rate-adaptive MAC protocol for multi-Hop wireless networks
By Gavin Holland, Nitin H. Vaidya, Paramvir Victor Bahl. ACM/IEEE International Conference on Mobile Computing and Networking, 2001
1,410 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/77183ef589b5bfeb5067d77087345d52bd5942c4
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In Computer Networks and Communications
- Hari Balakrishnan
- Robert Morris
- Sanjit Biswas
- Kyle Jamieson
- J. Padhye
- Edward W. Knightly
- Brian Zill
- Richard Draves
In Electrical and Electronic Engineering
- Hari Balakrishnan
- Edward W. Knightly
- Kyle Jamieson
- Robert Morris
- Hao Yang
- Kang G. Shin
- Thanasis Korakis
- Sathya Narayanan
Citations in the corpus
- Goodput Analysis and Link Adaptation for IEEE 802.11a Wireless LANs (2002, background): “The authors of [5] The basic idea of RBAR can be summarized as follows: First, the receiver estimates the wireless channel quality using a sample of the instantaneously received signal strength at the end of the RTS reception, then selects the appropriate transmission rate based on this estimate…”
- Opportunistic routing in multi-hop wireless networks (2004, background): “the best bit rate to send at, as in the RBAR protocol [ 10 ].”
- CARA: Collision-Aware Rate Adaptation for IEEE 802.11 WLANs (2006, background): “Since the 802.11 standard does not specify any algorithm and/or protocol to efficiently utilize the multiple transmission rates, many rate adaptation schemes have been proposed [11]– [13], [15], [18]–[21].”
- Idle sense: an optimal access method for high throughput and fairness in rate diverse wireless LANs (2005, methodology): “Another method, the Receiver Based Auto Rate (RBAR), makes use of the RTS/CTS mechanism: the receiver reports the SNR of the RTS frame in a replying CTS frame [13].”
- End-to-end performance and fairness in multihop wireless backhaul networks (2004, methodology): “In particular, we consider Receiver Based Auto Rate (RBAR) [13] and Opportunistic Auto Rate (OAR) [29].”
- Routing in multi-radio, multi-hop wireless mesh networks (2004, methodology): “Several algorithms such as RBAR [22], and OAR [36] have been proposed.”
- A case for adapting channel width in wireless networks (2008, neutral): “[12, 15, 17]), which we leverage.”
- Joint scheduling and power control for wireless ad hoc networks (2002, background): “For instance, adapting the transmission rate based on link state information passed from the physical to the MAC layer was shown to improve the performance of the IEEE 802.11 protocol [ 33 ].”
- CoopMAC: A Cooperative MAC for Wireless LANs (2007, methodology): “Receiver Based Auto Rate (RBAR) [16] measures the received signal-to-noise ratio (SNR) of the RTS frame at the receiver and compares the SNR with a set of pre-defined thresholds to choose the best modulation scheme.”
- PPR: partial packet recovery for wireless networks (2007, background): “Rate selection algorithms have been extensively studied in 802.11 wireless networks [9, 18 ,28].”
- A cautionary perspective on cross-layer design (2005, background): “The idea behind rate-adaptive MAC protocols is to send data at higher rates when the channel quality is good [ 11 ].”
- Bit-rate selection in wireless networks (2005, methodology): “When a receiver gets an RTS packet, it calculates the highest bit-rate that would achieve a BER less than 10 5 based on the S/N of the RTS packet using functions in [8].”
- Opportunistic media access for multirate ad hoc networks (2002, methodology): “11a termed Receiver Based Auto Rate (RBAR) was proposed in [4].”
- Link adaptation strategy for IEEE 802.11 WLAN via received signal strength measurement (2003, background): “11 WLAN were also studied by many others [3][4][5][6][7].”
- Cross-layer wireless bit rate adaptation (2009, methodology): “On the other hand, SNRbased protocols [ 10 , 21] can operate on shorter timescales by estimating the SNR on each reception and mapping it to the expected BER using known SNR-BER relationships.”
- Hierarchical control of multiple resources in distributed real-time and embedded systems (2006, background): “Moreover, the wireless network bandwidth available to transmit images from the UAVs to the receiver depends on the channel capacity of the wireless network, which in-turn depends on dynamic factors, such as the speed of the UAVs and the relative distance between UAVs and the receiver due to adaptive”
- Robust rate adaptation for 802.11 wireless networks (2006, methodology): “It has also been applied in the receiver-based rate adaptation algorithms such as RBAR [ 3 ] and OAR [4].”