Wirekss LANs have been widely deploye4 and multipk access points (APs) will be much more likely to be availabk there forILTAs, which can rom from one AP to another by some ruk. We here focus on an emient and fair way to use the wirekss access resources provided by multiple APs. In p&ulU, our major concern is to develop a decenhrlired way to enabk each of STAs to sekct an appropriate one of available APs independently. A sfraigworward way is to select an AP with strongest signal, which will be, however, shown to needfirrrher i,wprovement. Hence, we propose decenmrlizsd AP sekcrion strategies lo ashieve an emient and fair share of wirekss access resources, and evaluate them by simulations. Tnrough our resuIIs, the proposed sfrategies can w i n an excellent blvoughput performance by use of the number of active STAS sharing each AP even i f STAs employ the strategies only when entering the wireless LAN. In addifion, if STAs roam from one AP to Mother in response to changing siluation, the total throughput and fairness can be further improved very much.
As the amount of traffic transfered on the Internet are increasing, dynamic Traffic Engineering (TE) becomes important to avoid link congestion. In Open Shortest Path Fast(OSPF)-based networks, link costs are statically set according to its long-term utilization for reducing traffic on some congested nodes, hence temporary performance degradation may occur due to short-term traffic fluctuation. For dynamic TE on OSPF-based networks, measurement of the utilization of links / nodes, inferring the set of link costs for improving transmission behavior and setting the cost set to routers are necessary and so-called On-Line Simulation (OLS) system can operate these functions autonomously and periodically. In this paper, we construct the server prototype in OLS system, and evaluate its scalability and control performance in our testbed network. Experimental results show that the server succeeds in providing low-cost network management and real-time control even if there is the large amount of traffic on the network. Furthermore, the total throughput over the network was greatly improved by the OLS.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.