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In this paper, we develop a novel framework that attempts to reduce network traffic for error-bounded data collection in wireless sensor networks. In many sensor applications, it is acceptable that the monitoring results evaluated based on collected data might deviate from the exact results; as long as the error is bounded by a certain threshold. One well-known technique for error-bounded data collection...
Wireless mesh nodes must often be upgraded so that the network can accommodate evolving user demands. When some of the nodes are operated using a sustainable solar energy source, these upgrades must take into account the cost of updating the node energy resource configurations. This is required so that the new network configuration can properly accommodate the updated energy workloads of the re-provisioned...
Traffic engineering (TE) has become a challenging task for network management and resources optimization due to traffic uncertainty and to the difficulty to predict traffic variations. To address this uncertainty in a robust and efficient way, two almost antagonist approaches have emerged during the last years: robust routing and dynamic load-balancing. The former copes with traffic uncertainty in...
Internet traffic is highly dynamic and difficult to predict in current network scenarios. This makes of traffic engineering (TE) a very challenging task for network management and resources optimization. We study the problem of intradomain routing optimization under this traffic uncertainty. Recent works have proposed robust optimization techniques to tackle the problem, conceiving the robust routing...
This paper presents a novel cross-layer design for joint power and end-to-end rate control optimization in DS-CDMA wireless networks, along with a detailed implementation and evaluation in the network simulator ns-2. Starting with a network utility maximization formulation of the problem, we derive distributed power control, transport rate and queue management schemes that jointly achieve the optimal...
The next generation broadband wireless access networks are expected to support a variety of multimedia rich applications which can lead to very high traffic demand. With the development of high speed radio access technologies the backhaul network can become the bottleneck if not upgraded and configured optimally to support the expected increase in date rates and traffic demands. To deliver high data...
Traffic engineering (TE) has become a challenging mechanism for network management and resources optimization due to uncertain and difficult to predict traffic patterns. Recent works have proposed robust optimization techniques to cope with uncertain traffic, computing a stable routing configuration that is immune to demand variations within certain uncertainty set. However, using a single routing...
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