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The free-space wireless link is more susceptible to eavesdropping, fraud, and unauthorized transmission than its wired counterpart. Unauthorized people can tap the radio signal from anywhere within range. If someone sets a mobile terminal within a wireless subnet to transmit packets endlessly, all other clients are prevented from transmitting, thus bringing the network down. Being an open medium with no precise bounds makes it impractical to apply physical security like in wired networks. Security on a Wi-Fi wireless LAN is currently built with the Wired Equivalent Privacy (WEP) protocol, which provides confidentiality and integrity of the wireless traffic. However,

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All the routing algorithms described above are essentially based on the assumption that a single message in the network is to be transmitted to one or more destination nodes The situation becomes much more complicated when multiple messages are to be transmitted, since each transmission creates interference on other active links Thus, a link that provides high capacity when only a single message is routed over it might become a bottleneck when multiple messages are trying to be transmitted over this same link In other words, the routes that are found to be optimum for the different messages separately (eg, by the Dijkstra algorithm) are not necessarily the best (or even good) routes when multiple messages are being transmitted in the network simultaneously.

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A logical next step is then to determine a joint routing and power allocation, which essentially makes sure that messages along a route do not interfere with each other signi cantly By keeping routes suf ciently separated (where the transmit power in uences how big a separation is suf cient), the throughput can be improved signi cantly Still, such an algorithm misses another vital component of network design, namely scheduling Different messages can be sent over the same node; we just have to ensure that this happens at different times similar to road traf c at an intersection: the scheduling algorithm corresponds to a traf c light that tells the traf c from one road to stop while traf c on an intersecting road is using the intersection, so that no collisions occur.

Figure 16-4: Client to MSMQ to Food Provider Database Why MSMQ The need for MSMQ needs to be built in to the design phase of your applications It is not something that should be an afterthought because it is the backbone of a disconnected, robust application The following are a few factors that will make you choose to implement MSMQ into your design: Direct calls between clients and servers over connections can fail MSMQ gives you mechanism in which this will never be an issue Messages can be sent to queues when resources are not available, such as other queues, and retrieved when the resource becomes available Messages can be prioritized, so certain messages such as food orders will be delivered before log files or something of a noncritical nature.

The general problem of nding routes, scheduling, and power/rate control for multiple messages is thus a very complicated, but also a practically very important problem A number of different algorithms have been designed to solve this As one example, the following will describe a stochastic optimization approach called the backpressure algorithm The backpressure algorithm is a stochastic network optimization algorithm that despite its simplicity turns out to be optimal under certain assumptions Let us describe the network by its states, and by control actions that determine what and how much data are transmitted with what power The formulation as a control problem allows to bring to bear useful techniques from control theory like Lyapunov functions The essence of the approach is the following: each node has a buffer in which it stores arriving data, and it tries to transmit data to empty the buffer.

The algorithm then computes link weights that take into account (i) the difference of the queue size between the transmitting and receiving node of a link and (ii) the data rate that can be achieved over this link Consider the following setup: a network contains N nodes, connected by L links The transmission of the messages occurs in a slotted manner, where t is the slot index The link between two nodes a and b is characterized by a transmission rate ab (t); the rates are summarized in the transmission matrix (t) = C(I(t), S(t)), where C is the transmission rate function that depends on the network topology state S(t), which describes all the effects that the network cannot in uence (eg, fading) and the link control action I (t), which includes all the actions of the network that can be in uenced, like power control, etc.

The most important example of a transmission rate function is capacity-achieving transmission, so that on the l-th link Pl (t) ll (S(t)) Cl (P(t), S(t)) = log2 1 + Pn + Pk (t) kl (S(t)).

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