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endow sensors with temporary IDs or else rely on data or position-driven naming While ad hoc networks normally rely on topological information in their operation (eg, knowledge of one-hop and often times 2-hop neighbors), such information may not be available in wireless sensor networks simply because of the lack of IDs at the individual sensor level In some cases, however, the sensors bene t from a sense of relative geographic position with respect to the monitored environment and/or with respect to a sink Thus, positional information (covered in 9 in this book) may be essential in some applications of sensor networks, although it may not be essential for ad hoc networks Depending on the application, different architectures and design goals/ constraints have been considered for wireless sensor networks.



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conceptualized trial complexity as the amount of testimony or legal jargon contained therein (e.g. Horowitz, ForsterLee and Brolly, 1996). With regard to technology, space limitations preclude an exhaustive discussion of all forms of technology currently used by courts (for a more thorough review, see Lederer, 1994). Consequently, the second half of this chapter focuses exclusively on the use of videotape and computer-animated displays as demonstrative evidence and considers whether those forms of technology might improve or hinder jurors ability to make impartial decisions.





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We attempt to capture architectural design issues and highlight their implications on the network infrastructure and operation models proposed in the literature We use the routing protocol as a vehicle for discussion in order to highlight how the infrastructure has been set to t the network operational model and to deal with the speci c architectural issue There are three main components in a sensor network These are the sensor nodes, the sink, and the monitored events Aside from the few architectures that utilize mobile sensors, most of the network architectures assume that sensor nodes are stationary On the other hand, supporting the mobility of sinks, clusterheads (CHs), or gateways is sometimes deemed necessary Routing messages from or to moving nodes is more challenging, since route stability becomes an important optimization factor, in addition to energy, bandwidth, and the like.

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For Release 6, further optimization took place for the situation where only packet services are active in the downlink other than the SRB. In such a case, especially with lower data rates, it was felt that the downlink DCH introduces too much overhead and can also consume too much code space if looking for a large number of users using a low data rate service like VoIP. The solution was to use in such cases an F-DPCH, which is basically a stripped-down version of DPCH that handles the power control. When comparing the F-DPCH with the Release 99 DPCH, only the transmission power control (TPC) eld is kept (as shown in Figure 4.16). In addition, the original timing is retained which avoids the need to adjust timings based on Release 99 power control loop implementation. The code resource is time-shared, thus several users can share the same code space for power control information. Each user sees only the channel which has one symbol per slot for transmission power control (TPC) information and assumes there is no transmission in the rest of the symbols. With several users, the network con gures each user having the same code but di erent frame timing and, thus, users can be transmitted on the single code source. Up to ten users can share one SF 256 code, thus reducing

The sensed event can be either dynamic or static depending on the application For instance, in a target detection/ tracking application, the event (phenomenon) is dynamic, whereas forest monitoring for early re prevention is an example of static events Monitoring static events allows the network to work in a reactive mode, simply generating traf c when reporting Dynamic events in most applications require periodic reporting, and consequently generate signi cant traf c to be routed to the sink An important design consideration is the topological deployment of nodes This is usually application-dependent and affects the performance of the communication protocol The deployment is either deterministic or self-organizing In deterministic situations, the sensors are manually placed and data are routed through predetermined paths In addition, collision among the transmissions of the different nodes can be minimized through the prescheduling of medium access.

However, in selforganizing systems, the sensor nodes are scattered randomly, creating an infrastructure in an ad hoc manner In that infrastructure, the position of the sink or the CH is also crucial in terms of energy ef ciency and performance When the distribution of nodes is not uniform, optimal clustering becomes a pressing issue to enable energyef cient network operation During the creation of an infrastructure, the process of setting up the network topology is greatly in uenced by energy considerations Since the transmission power of a wireless radio is proportional to distance squared or even higher order in the presence of obstacles, multihop routing will consume less energy than direct communication However, multihop routing introduces signi cant overhead for topology management and MAC Direct routing would perform.

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