TY - GEN
T1 - Multicast optimization in broadband adaptive optical wireless networks
AU - Mahdy, Ahmed M.
AU - Deogun, Jitender S.
PY - 2005
Y1 - 2005
N2 - Optical wireless networks are expected to have a major role in the evolution of broadband wireless networks and the wireless Internet. This is due in large to the high data rates that optical wireless networks can deliver. The deployment of optical wireless networks in these domains necessitates the need for new techniques and approaches that can secure a place for optical wireless networks in the future of wireless communications. The adaptive model of optical wireless networks is considered a major step towards this goal. It has a great impact on the future of optical wireless networks because of the new design concepts it brought to the optical wireless arena. In this paper, we study the multicast process in adaptive optical wireless networks. We prove the NP-hardness of the multicast optimization problem and accordingly propose two optimization heuristics. Simulation results show that networks adapting our multicast heuristics achieve improvements of up to 42% and 62% on average packet delay and overhead-related metrics, respectively, as compared to networks with conventional multicast.
AB - Optical wireless networks are expected to have a major role in the evolution of broadband wireless networks and the wireless Internet. This is due in large to the high data rates that optical wireless networks can deliver. The deployment of optical wireless networks in these domains necessitates the need for new techniques and approaches that can secure a place for optical wireless networks in the future of wireless communications. The adaptive model of optical wireless networks is considered a major step towards this goal. It has a great impact on the future of optical wireless networks because of the new design concepts it brought to the optical wireless arena. In this paper, we study the multicast process in adaptive optical wireless networks. We prove the NP-hardness of the multicast optimization problem and accordingly propose two optimization heuristics. Simulation results show that networks adapting our multicast heuristics achieve improvements of up to 42% and 62% on average packet delay and overhead-related metrics, respectively, as compared to networks with conventional multicast.
UR - http://www.scopus.com/inward/record.url?scp=24944476053&partnerID=8YFLogxK
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U2 - 10.1109/WCNC.2005.1424782
DO - 10.1109/WCNC.2005.1424782
M3 - Conference contribution
AN - SCOPUS:24944476053
SN - 0780389662
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 1780
EP - 1785
BT - 2005 IEEE Wireless Communications and Networking Conference, WCNC 2005
T2 - 2005 IEEE Wireless Communications and Networking Conference, WCNC 2005: Broadband Wirelss for the Masses - Ready for Take-off
Y2 - 13 March 2005 through 17 March 2005
ER -