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WAAS enhances the GPS SPS and is available over a wide geographical area. The WAAS being developed by the Federal Aviation Administration, together with other agencies, will provide WADGPS corrections, additional ranging signals from geostationary (GEO) satellites, and integrity data on the GPS and GEO satellites [81]. The GEO Uplink Subsytem includes a closed-loop control algorithm and special signal generator hardware. These ensure that the downlink signal to the users is controlled adequately to be used as a ranging source to supplement the GPS satellites in view. The primary mission of WAAS is to provide a means for air navigation for all phases of ight in the National Airspace System (NAS) from departure, en route, arrival, and through approach. GPS augmented by WAAS offers the capability for both nonprecision approach (NPA) and precision approach (PA) within a speci c service volume. A secondary mission of the WAAS is to provide a WAAS network time (WNT) offset between the WNT and Coordinated Universal Time (UTC) for nonnavigation users. WAAS provides improved en route navigation and PA capability to WAAS certi ed avionics. The safety critical WAAS system consists of the equipment and

requires the one-step state transition probability density function for the target s position, as well as the conditional joint density of the observations given the target s state The rst density requires an accurate model for target motion, and also a stochastic characterization model noise The second density requires a stochastic model relating the target s position to received measurements (received power, etc), and this would require stochastic characterization of the physical medium which corrupts the measurement H IGHLIGHTS Among the several proposals for localization in WSNs, it is increasingly clear that range-based approaches are able to provide a reasonable localization of a node in terms of error and of energy consumption The challenges now are mainly to provide an increasingly accurate determination of range, and possibly angle of arrival measurements, and new methods for limiting the propagation of the errors 35.

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Wireless sensor networks with mobile nodes 351 Introduction From a communication perspective, WSNs are expected to be deployed as support (transport) networks in that they allow the movement of data to/from the sensors from/to the sinks For instance, data collected by a node may need to be conveyed to a number of infrastructures such as monitoring collection points, public networks, the Internet, etc, located at the periphery of the networked area for reliable storage and more sophisticated elaboration Conversely, data and code can be sent from designated (query and tasking) centers to relevant sensor nodes The main objective of a sensor network is to support (a) ef cient and robust data transport, and (b) uninterrupted coverage of the geographic area in which the sensors have been placed arbitrarily.

extended the C programming language with object-oriented concepts into C [Stroustrup, 1986] Although Smalltalk was a conceptually nicer language, C was more successful commercially C is a strict superset of C and promised a smoother migration to object-oriented concepts while continuing to use existing C code C is more efficient than Smalltalk Finally, C is a statically typed language, which means that static semantic errors can be detected at compile time, while they are only detected at runtime in Smalltalk For several reasons, C was, and to a considerable extent still is, rather difficult to use The language leaves a considerable amount of freedom to programmers Like Smalltalk, it does not have a rigorous type system, it enables programmers to manipulate object references and it lacks powerful memory management Eiffel ([Meyer, 1988b]) was defined to overcome these deficiencies Eiffel supports the notion of design by contract .

Given that the sensors are irreplaceable, protocols that implement (a) and (b) should be designed so that important WSN performance parameters are optimized These parameters include: extended network lifetime, energy consumption, data throughput, the amount of data to be collected, data delity and security and data transfer delay Most of the research on data delivery in WSNs concerns networks whose nodes do not move and are irreplaceable The sensed data is delivered to static sinks In this scenario, it has been observed that the nodes closer to the sinks have their energy drained from data transmissions more than all the others These nodes relay data for all the other nodes in the network as well as possible packets from the sinks to the sensors As a result, sinks are soon disconnected from the rest of the network, which determines the end of the network functionalities (network lifetime)..

Psychologists do not present portions of another s work or data as their own, even if the other work or data source is cited occasionally.

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