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memory, a wireless network transceiver, and a sensor board; a typical node is comparable in size to two AA batteries [1] Many novel applications are emerging: habitat monitoring, smart building failure detection and reporting, and target tracking In these applications it is necessary to accurately orient the nodes with respect to a global coordinate system in order to report data that are geographically meaningful Furthermore, basic middleware services such as routing often rely on location information (eg, geographic routing) Ad hoc sensor networks present novel trade-offs in system design On the one hand, the low cost of the nodes facilitates massive scale and highly parallel computation On the other hand, each node is likely to have limited power, limited reliability, and only local communication with a modest number of neighbors.



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These application contexts and potential massive scale make it unrealistic to rely on careful placement or uniform arrangement of sensors Rather than use globally accessible beacons or expensive global positioning systems (GPSs) to localize each sensor, we would like the sensors to self-organize a coordinate system In this chapter, we review localization hardware, discuss issues in localization algorithm design, present the most important localization techniques, and, nally, suggest future directions in localization The goal of this chapter is to outline the technical foundations of today s localization techniques and present the trade-offs inherent in algorithm design No speci c algorithm is a clear favorite across the spectrum For example, some algorithms rely on prepositioned nodes (Subsection 921) while others are able to do without Other algorithms require expensive hardware capabilities.





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Each piconet is synchronized to the master s system clock. Slave devices adjust their system clocks to the master s system clock by using a timing offset. Clock alignment is done by comparing the actual-versus-predicted reception times. The master and all slave nodes have a small 710-ms window to allow for timing mismatches when receiving information. A slave device in the hold/park or sniff mode may use larger window sizes when it wakes up to resynchronize with the master node. Also, if a master node has addressed a slave device in a preceding time slot or if it has already established an SCO communication link, it would have used a FHS packet during both connection setup and the master slave switch procedure. The slave will then respond by sending an ID packet during the next time slot. This response will be followed by a protocol-speci c process to establish timing and frequency synchronization. The slave will then use an offset to match its transmission/reception to or from the master device.

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Some algorithms need a way of performing off-line computation, while other algorithms are able to do all their calculations on the sensor nodes themselves Localization is still a new and exciting eld, with new algorithms, hardware, and applications being developed at a feverish pace; it is hard to say what techniques and hardware will be prevalent in the end..

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