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Scheduling Algorithm This section describes the mechanism used by the PNC to schedule packets over multiple channels, as studied in Rangnekar and Sivalingam [20] The system has C distinct and nonoverlapping channels are available for use in the entire system Each node is equipped with a half-duplex tunable transceiver The node can transmit or receive on only one channel at a time The transceiver is capable of tuning to different channels dynamically The channel switch time, as de ned by the multiband OFDM proposal [21], is 9 ns All piconet nodes are synchronized to the PNC, which transmits the beacon on a predetermined default channel All piconet nodes know the default channel and tune their transceiver to the default channel to listen to the beacon For ease of explanation, we assume only one piconet in the system.

jmp esp call esp push esp; ret (0xff 0xe4) (0xff 0xd4) (0x54 0xc3)

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However, it can be easily extended to multiple piconets, as presented in the next section Let the number of nodes in a given piconet be denoted by M and the number of channels by C The requests made by each node for transmission are stored as an M M demand matrix The demand matrix contains the number of packets to be transmitted by each node to every other node in the network The objective of the scheduling algorithm is to schedule these requests on the C channels in a collision-less manner The demand matrix is rst converted into an M C matrix to convert the scheduling problem into a time slot assignment (TSA) problem Solving the time slot assignment problem implies nding a con ictfree assignment of requests to the channels such that the total frame size is minimized.

This value of the normal component goes to zero in the limit as c and 0 so it is consistent for a PEC and is what we would approximately expect for a good conductor. As seen in Equations 6.57 and 6.58, the vector Helmholtz equations have a real value k2 = 2 0 2 outside the sphere (in medium 2) and a complex value of k2 inside the sphere:

This scheduling problem is similar to one of the basic, well-studied problems of scheduling theory, that of nonpreemptively scheduling M independent tasks on C identical, parallel processors The objective is to minimize the total time required to complete all the tasks This problem is known to be NP-complete [22] and approximations to this problem such as MULTI-FIT [23] for nding near-optimal schedules have been studied The Multi- t [23] algorithm to convert the demand matrix into a M C form This matrix is then input to the interval-based scheduling (IBS) algorithm [24] that generates the transmission schedule The details of the algorithm are presented in Rangnekar and Sivalingam [20] The paper also considers a single piconet scenario and multiple piconet scenario For the latter, a dynamic.

(5.20)

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All nodes are of pv type now, and the network is persistent regardless of the presence or absence of activities in its nodes. It always keeps updated coordinates of all nodes on the internal level, so there is no need to collect them explicitly each time when they change. The repetitive movement of the whole group using this infrastructure can be expressed as follows:

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