TY - CHAP
T1 - Applications to classic problems
AU - Wang, Lu
AU - Wu, Kaishun
AU - Hamdi, Mounir
N1 - Publisher Copyright:
© The Author(s) 2014.
PY - 2014
Y1 - 2014
N2 - In this chapter, we present several typical applications that leverage attachment transmission to solve the above-mentioned classic problems. With the assistance of attachment transmission, a variety of MAC layer protocols are designed, which can guide mobile stations to make better access decision through the PHY layer information they need. These applications include: Harmless Attachment that uses attachment transmission to benefit multiple access in WLANs in the infrastructure mode(Bejerano et al., 2010 Proceedings of the 8th international symposium on modeling and optimization in mobile, ad hoc and wireless networks (WiOpt), pp 60–69, IEEE, 2010). Attachment Learning that helps mobile stations to learn allocation strategy by themselves. After the learning stage, mobile stations can achieve a TDMA-like performance, where stations can know when exactly to transmit on which channel without further collisions. Attachment Sense that identifies hidden and exposed terminals in ad hoc networks. The self-attached control provides accurate channel usage information (CUI) in real time, thus guides mobile stations to make the right channel access decision fast and accurate. In the following sections, we will present how we utilize attachment transmission to solve the above-mentioned problems.
AB - In this chapter, we present several typical applications that leverage attachment transmission to solve the above-mentioned classic problems. With the assistance of attachment transmission, a variety of MAC layer protocols are designed, which can guide mobile stations to make better access decision through the PHY layer information they need. These applications include: Harmless Attachment that uses attachment transmission to benefit multiple access in WLANs in the infrastructure mode(Bejerano et al., 2010 Proceedings of the 8th international symposium on modeling and optimization in mobile, ad hoc and wireless networks (WiOpt), pp 60–69, IEEE, 2010). Attachment Learning that helps mobile stations to learn allocation strategy by themselves. After the learning stage, mobile stations can achieve a TDMA-like performance, where stations can know when exactly to transmit on which channel without further collisions. Attachment Sense that identifies hidden and exposed terminals in ad hoc networks. The self-attached control provides accurate channel usage information (CUI) in real time, thus guides mobile stations to make the right channel access decision fast and accurate. In the following sections, we will present how we utilize attachment transmission to solve the above-mentioned problems.
UR - http://www.scopus.com/inward/record.url?scp=85044943570&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-04909-0_4
DO - 10.1007/978-3-319-04909-0_4
M3 - Chapter
AN - SCOPUS:85044943570
T3 - SpringerBriefs in Computer Science
SP - 29
EP - 57
BT - SpringerBriefs in Computer Science
PB - Springer
ER -