Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Fitting Equations to Data: Computer Analysis of Multifactor Data
Fitting Equations to Data: Computer Analysis of Multifactor Data
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Runtime Optimization of IEEE 802.11 Wireless LANs Performance
IEEE Transactions on Parallel and Distributed Systems
Routing, Flow, and Capacity Design in Communication and Computer Networks
Routing, Flow, and Capacity Design in Communication and Computer Networks
Semidefinite programming for ad hoc wireless sensor network localization
Proceedings of the 3rd international symposium on Information processing in sensor networks
Optimizing Protocol Interaction Using Response Surface Methodology
IEEE Transactions on Mobile Computing
Design and Analysis of Experiments
Design and Analysis of Experiments
An adaptive gateway discovery for mobile ad hoc networks
Proceedings of the 5th ACM international workshop on Mobility management and wireless access
Nonlinear Optimization
Optimal rate allocation for energy-efficient multipath routing in wireless ad hoc networks
IEEE Transactions on Wireless Communications
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
IEEE Journal on Selected Areas in Communications
Factor interaction on service delivery in mobile ad hoc networks
IEEE Journal on Selected Areas in Communications
Steepest-ascent constrained simultaneous perturbation for multiobjective optimization
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Computer networks often display nonlinear behavior when examined over a wide range of operating conditions. There are few strategies available for modeling such behavior and optimizing such systems as they run. Profile-driven regression is developed and applied to modeling and runtime optimization of throughput in a mobile ad hoc network, a self-organizing collection of mobile wireless nodes without any fixed infrastructure. The intermediate models generated in profile-driven regression are used to fit an overall model of throughput, and are also used to optimize controllable factors at runtime. Unlike others, the throughput model accounts for node speed. The resulting optimization is very effective; locally optimizing the network factors at runtime results in throughput as much as six times higher than that achieved with the factors at their default levels.