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in VS NET Draw Quick Response Code in VS NET igure 143 Number of cooperating nodes versus node density QR-Code Recognizer In VS NET Using Barcode decoder for Apart from the challenge of data extraction at minimal resource cost, other dif cult problems for networks of this type that have attracted the attention of the research community will be discussed in Section 144 For the remainder of this chapter we will also consider heterogeneous networks, including the possibility of mobile elements and hierarchical networks that have nodes with greater capabilities (eg, sensing or radio range, more storage, position-location ability, reliable energy supply, etc) In this section we explore the implications for the delity problem, rst with mobility and then with hierarchical networks 143.

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1 Mobility In MANETs, mobility is one of the major contributors to overhead from the protocol stack, thereby reducing communication ef ciency [73 77] More recently, however, mobility has been found to increase the capacity of wireless ad hoc networks [78 81] Here, the networks have a mixture of static and mobile nodes The type of mobility that mobile agents can possess falls into one of the following three categories [43]: r Random Mobility The nodes are assumed to move in an arbitrarily random pattern typically modeled as uniform Brownian motion for analytical convenience [78 81] This model has also been used in data mule work [82, 83] r Predictable Mobility This model assumes that the pattern of mobility of the mobile nodes is known, and this knowledge can be exploited to route data [84 86].

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The mobile agents are not moving for the purpose of data transfer and hence their paths may not coincide with the routing requirements r Controlled Mobility Here the mobility pattern of the mobiles is completely under the control of the network Prototypes of such networks have been produced [87 90] Controlled mobility could also be implemented by providing infrastructure to move the nodes This infrastructure can then serve additional purposes such as logistical support to the network [158] There are fundamental differences in the throughput and delay properties when the mobility is controlled as opposed to when the mobility is random or predictable, asRelated: NET EAN 128 Generating , NET Interleaved 2 of 5 Generator , Print Data Matrix C#.

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Draw EAN13 In Visual Studio NET Using Barcode Using Barcode drawer for NET framework Control to enerate, create MSI Plessey image in Visual Studio NET applications In addition to clustering and hierarchical routing, which are mentioned in Section 22, methodologies re being explored for facilitating navigation of messages; that is, in Section 23, algorithms are being discussed for implanting beacons and anchors into the network infrastructure, while Section 24 outlines localization techniques that either establish the absolute (precise) location of a node in order to maintain navigational capabilities or provide a relative but consistent virtual coordinate system that enables routing Finally, Section 25 provides details of two emerging protocols (ZigBee and MicrelNet) for setting up ad hoc network communication and discusses applications 2.

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2 HIERARCHICAL ROUTING AND CLUSTERING Flat-routed ad hoc networks require the discovery and maintenance of routes that may span a large number of unreliable wireless links (see Figure 21) Since some action must be taken every time a link breaks in order to maintain connectivity (especially in high node mobility), protocols on at-routed networks have limited scalability The alternative to at routing are hierarchical routing protocols Based on some form of establishment of hierarchy, like an addressing scheme, they can bypass intermediate hosts by establishing connection directly with more powerful hosts for example, masters, beacons, or even base stations (see Figure 22) Strategies have been devised that dynamically organize ad hoc networks into clusters and leverage the resulting cluster topology Hierarchical routing schemes are utilized by clustering protocols.

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A clustered ad hoc network is dynamically organized into partitions, called clusters, whose objective is the maintenance of a relatively stable topology Clustering in ad hoc networks can support hierarchical routing, make the route search process more ef cient for reactive protocols, support hybrid-routing in which different routing strategies operate in different domains or levels of a hierarchy, and provide more control over access to transmission 221 Clustering Clustering in ad hoc networks can be de ned as the grouping of nodes into manageable sets, also called clusters A cluster consists of a single cluster head and many member nodes Any node can become a cluster head if it has the necessary functionality, suchRelated: Word Code 128 Generation , Print ITF-14 VBNET , Create Codabar Java.

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