TY - JOUR
T1 - Optimization of transport capacity in wireless multihop networks
AU - Ko, Seung Woo
AU - Kim, Seong Lyun
PY - 2013
Y1 - 2013
N2 - Gamal et al. (IEEE Trans. Inform. Theory 52:2568-2592, 2006) showed that the end-to-end delay is n times the end-to-end throughput under centralized time division multiple access scheduling. In our other work (IEEE Trans. Mobile Computing, in press), it was proved that the relationship between the end-to-end throughput and the end-to-end delay of Gamal et al. still holds under the IEEE 802.11 distributed coordination function (DCF) when the carrier sensing range and the packet generation rate are jointly optimized. The main purpose of this study is to determine whether the result in our other work is achievable when the transmission range is adjusted instead of the carrier sensing range. To this end, we revise the transport capacity by reflecting a queue at each node and optimize the revised transport capacity by jointly controlling the transmission distance and the packet generation rate. Under our system model, it is shown that the end-to-end throughput and the end-to-end delay scale are ⊖ (1=√n log n)and ⊖ (√n= log n), respectively, where n is the number of nodes in the network. That is to say, the result that the end-to-end delay is n times the end-to-end throughput under the DCF mode is also estabilished while jointly optimizing the transmission range and packet generation rate.
AB - Gamal et al. (IEEE Trans. Inform. Theory 52:2568-2592, 2006) showed that the end-to-end delay is n times the end-to-end throughput under centralized time division multiple access scheduling. In our other work (IEEE Trans. Mobile Computing, in press), it was proved that the relationship between the end-to-end throughput and the end-to-end delay of Gamal et al. still holds under the IEEE 802.11 distributed coordination function (DCF) when the carrier sensing range and the packet generation rate are jointly optimized. The main purpose of this study is to determine whether the result in our other work is achievable when the transmission range is adjusted instead of the carrier sensing range. To this end, we revise the transport capacity by reflecting a queue at each node and optimize the revised transport capacity by jointly controlling the transmission distance and the packet generation rate. Under our system model, it is shown that the end-to-end throughput and the end-to-end delay scale are ⊖ (1=√n log n)and ⊖ (√n= log n), respectively, where n is the number of nodes in the network. That is to say, the result that the end-to-end delay is n times the end-to-end throughput under the DCF mode is also estabilished while jointly optimizing the transmission range and packet generation rate.
KW - End-to-end delay
KW - End-to-end throughput
KW - IEEE 802.11 DCF
KW - Scaling law
KW - Transmission range control
KW - Transport capacity
KW - Wireless multihop networks
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U2 - 10.1186/1687-1499-2013-110
DO - 10.1186/1687-1499-2013-110
M3 - Article
AN - SCOPUS:84878078796
SN - 1687-1472
VL - 2013
JO - Eurasip Journal on Wireless Communications and Networking
JF - Eurasip Journal on Wireless Communications and Networking
IS - 1
M1 - 110
ER -