Genetic algorithms: foundations and applications
Annals of Operations Research
Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Simulation optimization: a survey of simulation optimization techniques and procedures
Proceedings of the 32nd conference on Winter simulation
Characterizing the interaction between routing and MAC protocols in ad-hoc networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
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
A cross-layer optimization of gnutella for mobile ad hoc networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Optimizing Protocol Interaction Using Response Surface Methodology
IEEE Transactions on Mobile Computing
GNU Scientific Library Reference Manual - Third Edition
GNU Scientific Library Reference Manual - Third Edition
Profile-driven regression for modeling and runtime optimization of mobile networks
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Design challenges for energy-constrained ad hoc wireless networks
IEEE Wireless Communications
Cross-layer design of ad hoc networks for real-time video streaming
IEEE Wireless Communications
Capacity regions for wireless ad hoc networks
IEEE Transactions on Wireless Communications
AdaptNet: an adaptive protocol suite for the next-generation wireless Internet
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
Factor interaction on service delivery in mobile ad hoc networks
IEEE Journal on Selected Areas in Communications
Network planning in wireless ad hoc networks: a cross-Layer approach
IEEE Journal on Selected Areas in Communications
Locally proactive routing protocols
ADHOC-NOW'10 Proceedings of the 9th international conference on Ad-hoc, mobile and wireless networks
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The simultaneous optimization of multiple responses in a dynamic system is challenging. When a response has a known gradient, it is often easily improved along the path of steepest ascent. On the contrary, a stochastic approximation technique may be used when the gradient is unknown or costly to obtain. We consider the problem of optimizing multiple responses in which the gradient is known for only one response. We propose a hybrid approach for this problem, called simultaneous perturbation stochastic approximation steepest ascent, SPSA-SA or SP(SA)2 for short. SP(SA)2 is an SPSA technique that leverages information about the known gradient to constrain the perturbations used to approximate the others. We apply SP(SA)2 to the cross-layer optimization of throughput, packet loss, and end-to-end delay in a mobile ad hoc network (MANET), a self-organizing wireless network. The results show that SP(SA)2 achieves higher throughput and lower packet loss and end-to-end delay than the steepest ascent, SPSA, and the Nelder--Mead stochastic approximation approaches. It also reduces the cost in the number of iterations to perform the optimization.