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connections in the network can be maintained at the desired level. For this, the average transmission rate for a connection is obtained based on channel quality (i.e., average SNR) under Nagakami fading. Then, we formulate a tandem queueing model to obtain the QoS performance measures such as PDU dropping probability, throughput, and average queueing delay for relay connections in an end-to-end basis. The end-to-end average queueing delay is used by the route selection and admission controller to decide whether the delay requirement for a relay connection can be satis ed or not. The performances of the proposed subchannel allocation and the admission control schemes are evaluated by extensive simulations. Also, the performance of the distributed subchannel allocation scheme is compared to that of a globally optimal subchannel allocation scheme from an end-to-end QoS perspective. Even though in this chapter we consider the QoS on a perconnection basis, the proposed framework can be easily extended for the case when the QoS needs to be maintained in an aggregate basis [such as in a Differentiated Services (DiffServ) IP network].

Kamerman and Monteban [7] proposed the Lucent s WaveLan-II 802.11 solution on rate adaptation, known as ARF. In ARF, multiple data transmission rates are provided. In order to adaptively adjust the rate increase/decrease, an approach similar to the transmission control protocol (TCP) is adopted. Initially, the sender uses a higher rate after a xed number of successful data transmissions. If 1 or 2 frames in a row are lost, i.e., not acknowledged, the rate is decreased to the next lower one and a timer is started. If 10 frames in a row are acknowledged or the timer expires, then the next higher rate is used for data transmission. In this way, ARF tries to reach the best possible rate if higher channel quality is indicated. However, this approach may generate frequent frame failure and retransmission and thus suffers from performance oscillation and low throughput. For example, let us assume that the loss rates at 5.5 and 11 Mbps are 0.1 and 0.5, respectively, and a sender is transmitting data at 5.5 Mbps. Then, the probability that 10 successive frames get acknowledged is around 35%, which is not low. So, the sender may still possibly switch to

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With current standard equipment, there is no need to shape the rat to press the lever a well-handled rat on a restricted diet that does not encounter frightening events such as loud noises, fast movements, or unusual handlers, treatments, or testing times will quickly learn to press the lever to secure 45-mg pellets of food The use of standard equipment also facilitates attempts by other researchers to replicate the experimental results Of course, there are problems for which the investigator must develop a new apparatus, but early.

Epilepsy is a seizure disorder defined as excessive discharging of brain cells in a sudden, transient, and recurrent manner (Goldensohn, Glaser, & Goldberg, 1984; McConnell & Snyder, 1997; Shuster, 1996). Seizures result in intense muscle spasms, a complete or partial loss of consciousness, and sometimes unconscious purposeful behavior. Neurons in the brain become excited due to a variety of reasons that differ from person to person. For example, infections, metabolic abnormalities, and biochemical factors may all contribute to the development of a seizure. In addition to these physiological causes, psychological stress has been found to elicit seizures among those vulnerable to this disorder (D. Williams, 1982). Epilepsy affects about 1% of the population. Children are more likely to experience epilepsy than adults; children under the age of 5 and at puberty are the most vulnerable (Hauser, Annegers, & Anderson, 1983; McConnell & Snyder, 1997). Curiously, epilepsy is also more likely to occur among lower socioeconomic groups (Hauser et al., 1983). Biopsychosocial factors contribute to the development of epilepsy with genetics, infections, socioeconomics, stress, nutrition, prenatal care, and other factors contributing to the development and maintenance of the disorder (Hanesian, Paez, & Williams, 1988; Stears & Spitz, 1996). The severity, duration, and age of onset of epilepsy is related to the level of potential impairment in cognitive functioning. Attentionconcentration, memory, problem solving, motor, and intellectual abilities all can be significantly impaired due to problems associ-

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