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Generalized function projective lag synchronization (GFPLS) is characterized by the output of the drive system proportionally lagging behind the output of the response system and ratio of the two systems is desired function scaling matrix. In this paper, GFPLS between different hyper chaotic systems with uncertain parameters, i.e. GFPLS between Lorenz-Stenflo (LS) and Lü hyper chaotic system, is studied...
In wireless sensor networks??Cthe Media Access Control (MAC) Protocol is one of the key. Network Protocols designed to ensure the normal network communications. Compared with the traditional MAC Protocol, limited battery energy on sensors determines the sensor network MAC Protocol to be energy-efficient of the Primary design goal. This Paper Proposes a contention window adaptive MAC protocol based...
In the MAC protocols based on the S-MAC scheme, usually the combination of periodic sleep/listen scheduling and four-way handshake mechanism is employed to reduce idle listening and avoid interference. However, this combination greatly degrades network capacity and results in high end-to-end latency. In this paper, we propose Adaptive IAMAC to increase channel utilization and improve communication...
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 an asymptotically optimal solution for feedback based distributed adaptive transmit beamforming in wireless sensor networks. This solution utilizes feedback provided by a remote receiver in order to estimate optimum phase offsets of individual carrier signals. In a mathematical simulation we show that the global random search approach, which was applied in prior studies of this scenario,...
We study closed-loop feedback based approaches to distributed adaptive transmit beamforming in wireless sensor networks. For a global random search scheme we discuss the impact of the transmission distance on the feasibility of the synchronisation approach. Additionally, a quasi novel method for phase synchronisation of distributed adaptive transmit beam-forming in wireless sensor networks is presented...
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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