Hakki Soy

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Building automation systems are established to increase people's comfort and security with reduced energy consumption. The integration of wireless technologies into building control promises to make significant simplification in wiring requirements behind reduction of maintenance complexity and setup costs. This paper explores the application potential of(More)
In the design of wireless scheduling policies, the fairness criterion plays an important role in upgrading the performance of network. This paper concentrates on how the channel-aware opportunistic scheduler can improve both throughput and fairness in cellular wireless networks. In order to improve the fairness, we propose an adaptive fair scheduling(More)
We consider a wireless sensor network that comprises a single hop between the sensor nodes and the central controller node with multiple antennas. In this system model, we concentrate on the single-beam opportunistic communication and propose two novel packet transmission schemes that can perform multiuser diversity gain based on the signal-to-noise ratio(More)
In this paper, we consider a MIMO wireless sensor network model with single hop architecture, which consists of both a central control node and sensor nodes having multiple antennas. In our system model, we concentrate on single beam opportunistic communication and propose a novel MAC protocol that can perform multiuser diversity gain based on effective SNR(More)
We previously proposed a threshold based medium access control (MAC) protocol that can perform multiuser diversity gain for star topology based wireless sensor network in a single cell architecture. The considered network model comprises a single hop between the sensor nodes and the controller node with multiple antennas. The optimum threshold was designed(More)
In this paper, a reasoning-based intelligent system makes use of fuzzy control approach, which is designed for thermal comfort applications by using an embedded microcontroller system. In general, it is not possible to implement the mathematical thermal comfort models in actual environment. Thermal comfort usually depends on four environmental parameters(More)
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