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We derive an asymptotically sharp bound on the synchronization speed of a randomized black box optimization technique for closed-loop feedback-based distributed adaptive beamforming in wireless sensor networks. We also show that the feedback function that guides this synchronization process is strong multimodal. Given this knowledge that no local optimum exists, we consider an approach to locally...
We present three approaches for algorithmic improvements on distributed adaptive transmit beamforming in wireless sensor networks. These algorithms reduce the time to synchronise carrier signals among nodes compared to the global random search approaches commonly applied to this problem. For a local random search heuristic we provide an asymptotic bounds on the optimisation time. All approaches are...
In this paper, an energy efficient adaptive modulation scheme is proposed for a wireless cognitive radio ad hoc network, where each node is equipped with cognitive radio and the network is an OFDMA system operating on time slots. In each slot, the users with new traffic demand will sense the spectrum and locate the available subcarrier set. Then they choose subcarriers with favorable channel condition...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
Sink mobility has become an increasingly important requirement of various sensor network applications. Handling such mobile sink conditions brings new challenges to large-scale sensor networking. This investigation proposed a hybrid-structure routing protocol (HSRP) that combines the benefits of grid-based and cluster-based structures. Grid-based structure is designed to solve the cluster head selection...
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