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presentation indicator The CAMEL service is not able to restrict the presentation of the CPN to the destination subscriber Refer to 3GPP TS 22004 [60]; the CLIP and CLIR supplementary services are not applicable to SMS Service designers should take care when modifying the CPN in the SMS The MAP message that conveys the SMS, MO-ForwardSM, does not always contain the IMSI of the sending subscriber The transport of IMSI in MO-ForwardSM was introduced in 3GPP R98 If the serving MSC does not include the IMSI in the MAP message and the CAMEL service has modi ed the CPN, then the MAP message may not contain an indication of the sender of the SMS Such situation may hamper services such as lawful intercept (LI) Refer to 3GPP TS 33106 [124] for LI requirements 547 Charging and Call Detail Records The MSC or SGSN may generate a CDR during SMS submission; CDRs are speci ed in 3GPP TS 32005 [114] (for MSC-based SMS submission) and in 3GPP TS 32015 [115] (for SGSN-based SMS submission) The applicable CDR for SMS submission is the SMS-MO record (from MSC) and S-SMO-CDR (from SGSN) 5471 CDR Impact The following CAMEL-speci c parameters are speci ed for the SMS-MO record and the S-SMOCDR record gsmSCF address this is the GT address of the gsmSCF; this element is obtained from the MOSMS-CSI Owing to dynamic load sharing, this address may differ from the GT of the gsmSCF handling this particular CAMEL service Service key this is the service key used for the CAMEL service invocation Default SMS handling this element indicates that default handling has taken place for the SMS The CDR post-processing system may lter out CDRs containing this element, for the purpose of post-charging Free-format data this element contains the free format data provided by the CAMEL service Calling party number this element contains the CAMEL service-provided CPN Destination subscriber number this element contains the destination number provided by the CAMEL service CAMEL SMSC address this element contains the SMSC address provided by the CAMEL service SMS reference number the SMS reference number is used for CDR correlation 5472 CDR Correlation Refer to Figure 567 for CDR correlation; when the MSC or SGSN invokes the CAMEL MO-SMS service, it may include an SMS reference number and the MSC address in CAP IDP-SMS The combination of SMS reference number and MSC address forms a unique identi er of the SMS The MSC, SGSN and gsmSCF may place this identi er in the respective CDR A billing gateway (BGW) that is processing CDRs for the operator may use this identi er for correlating the CDRs If the MSC or SGSN is in another network or in another country than the BGW, then the CDRs may be transported in the form of a TAP le For TAP le usage and format, refer to GSM PRD TD57 [162] The use of the SMS reference number is an ptional feature in CAMEL phase 3 For CAMEL phase 4, this feature is a mandatory part of MO-SMS control The SMS-IWMSC may generate an MO SMS IW CDR This CDR may be used by the operator of the SMSC for accounting purposes.

This section aims to differentiate MANETs clearly from ther wireless network types and contrast them with traditional wired networks MANET De nition As wireless devices have become increasingly commonplace and affordable, the notion of nomadic computing has gained in popularity The term refers to the use of networking in mobile devices where connectivity is not determined by location or motion; that is, devices are expected to work in a consistent and useful manner regardless of their point of connection to the Internet The Mobile-IP speci cation [15] has attempted to support freedom of motion, as associated with wireless operations, over the Internet Its principal function is to provide protocol facilities that would enable a client to seamlessly use different points of attachment to the Internet for communication with other clients.

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In this scheme, the mobile node is always identi ed by its home address, which provides a xed point of reference for communications addressed to it, no matter what actual network the mobile node is connected to at the time The scheme takes care to redirect traf c to the mobile node while it travels between networks (ie, points of attachment on the Internet) in a manner that is transparent to applications running on the node The process is perhaps best illustrated through an example by brie y considering the scenario depicted in Figure 101 When a roaming (mobile) node is away from its home (and thus is not attached at its home address), a home agent monitors communications When the roaming node obtains a connection point to the Internet, it.

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This ad hoc networking paradigm leads to the creation of autonomous, mobile, wireless domains hich may even merge into a greater whole or partition themselves into smaller segments [16] Figure 102 depicts examples of MANETs as they are expected to be realized in various settings In particular, instance (1) in Figure 102 depicts a MANET existing in isolation from other networks, while instance (2) outlines a MANET with a connection point to Network A MANETs may also act as gateways between networks, as shown in instance (3), and may even provide extended coverage for IEEE wireless infrastructure networks [4], as illustrated in instance (4) in Figure 102 Draw Barcode In Java Using Barcode drawer for Related: Generate UPC-A VBNET , Code 39 Generation Excel , Code 39 Generation NET.

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2 ADAPTIVE DYNAMIC BACKBONE MULTICAST (ADBM) In this section, we describe ow ADBM performs multicast and how multicast connectivity adapts to various mobility conditions. The key mechanism facilitating ADBM s. Barcode In Visual Studio .NET Using Barcode scanner for . Draw QR Code 2d Barcode In C#.NET Using .Related: QR Code Generator VB.NET , .NET PDF417 Generator , C# Interleaved 2 of 5 Generator

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Draw Quick Response Code In VBNET Using Barcode Using Barcode generator for Visual Studio NET Control o generate, create QR-Code image in VS NET applications Section 73 brie y overviews hop-countbased protocols nd discusses their shortcomings in more detail The emergence of more realistic simulation models [12] and real test-bed experiments [13 17] show that the link quality plays a critical role in determining route quality: Hop count is not a suf cient metric for determining route quality The available bandwidth between a pair of communicating nodes is in uenced not only by the nominal communication bandwidth, but also by ongoing communication in nearby regions of the network because of the shared nature of the medium More speci cally, other ongoing transmissions contribute interference power that can make it impossible to exchange packets between a given pair of nodes, reducing the capacity of the link.

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As a result, a second generation of routing protocols, called link-quality aware routing, was proposed In link-quality-aware routing the link quality is estimated and exposed to the routing protocol, which then can combine the link qualities to estimate route quality; this estimate is used in place of hop count to guide route selection decisions Several metrics for measuring link quality and for combining them to estimate route quality have been proposed; these works are reviewed in Section 74 The routing con gurations achieved by link-quality-aware routing can be suboptimal for two primary reasons: (1) Limitations of link-quality and route-quality estimation approaches Existing metrics relying on source-based measurements cannot capture scheduling effects accurately (2) Per-connection greedy approach: The protocols remain greedy in nature, taking local decisions without coordination.

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An optimal routing con guration cannot be achieved by making greedy decisions on a connection-by-connection basis without coordination to best map the connections to the available space and achieve maximal spatial reuse While some-link-quality-aware routing protocols attempt to adaptively switch away from paths where the quality of the links is low, it is not clear that this approach will converge to a globally effective con guration In Section 75 we motivate modeling and optimization efforts for capturing the behavior of MHWNs and using this model to derive globally effective routing con gurations Finding a globally effective routing con guration is a problem similar to traf c engineering in conventional networks a problem that is well understood and that has effective solutions (eg, reference 18) However, the nature of the wireless channel introduces interference and signi cantly complicates the problem Section 7.

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