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The time frame structure is shown in Fig. 12.2. Each frame starts with a beacon, followed by M time slots. The beacon is to indicate the beginning of a frame.

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Surgery is another useful option for boys with moderate to severe gynecomastia or in cases where the condition has not resolved after an extended period of time Surgery may not be an option, however, for many boys because it is considered to be cosmetic surgery and not generally covered by health insurance Abnormal maturational delay is de ned statistically as those 5% of teenagers who fall at least two standard deviations above the mean onset of puberty Physical examination and laboratory tests are employed to screen for a variety of disorders that may cause delay: hormonal de ciencies (including growth hormone), chromosomal abnormalities, and chronic illness (eg, cystic brosis, sickle cell anemia, heart disease, or in ammatory bowel disease), which may be undiagnosed In some cases, medical intervention can promote catch-up growth and sexual development but the effects are irreversible in most cases.

its raw data either directly to its closest sink or a nearby compressor, which compresses the data and forwards the compressed data to its closest sink The authors show that under a given a, the optimal organization that minimizes energy consumption is a Johnson Mehl tessellation, in which the entire sensing eld is divided into regions belonging to either a sink or a compressor In the two extreme cases that a is equal to 0 and 1, representing full and no compression, the optional organization degenerates from Johnson Mehl tessellation into Voronoi tessellations that constitute the set of sinks and compressors and the set of sinks, respectively 1543 Trade-Offs in System Design Depending on the resource constraints, there exist various trade-offs in different data-fusion schemes: energy versus estimation accuracy [34,37], energy versus aggregation latency [38,39], and bandwidth versus aggregation latency [36] 1543.

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1 Trade-Off Between Energy and Accuracy The requirement of higher accuracy demands more message exchanges and leads to higher energy consumption Bonnet et al [5] proposed a distributed periodic aggregation approach to estimate the maximum of sensor data in a eld, where the maximum of sensor data are modeled to be Gaussian distributed Compared with multiple snapshot aggregations, the proposed approach exploits the energy accuracy trade-off, and provides users with a system-level knob to control the desired accuracy and energy consumption The distributed optimization approach proposed in ref [34] shows that O(1 2 ) iterations of aggregation are required to achieve the desired accuracy 1 Similar to a model-based query is supported in ref [48] A declarative query-processing engine uses a probabilistic model to answer questions about the current state of the sensor network.

The model is based on time-varying multivariate Gaussians, constructed based on the historical data, and updated when new data are available Given a query specifying the con dence interval, the problem is to choose the best set of new observations such that the cost of collecting new data is minimized Ye et al [49] gure robustness of delivery in the design Multiple, interleaved paths between the source and the sink enable the system to be more resilient to node or transmission failure In their proposed gradient broadcast (GRAB) protocol, the cost eld is constructed rst [49a] The cost of a node represents the minimum energy required to forward a packet along a path to the sink To exploit the redundancy of delivery, a sender (forwarder) broadcasts a packet, and a relay node forwards the packet only if its cost is smaller than the sender s cost.