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To do so you implement a TextEditor subclass that is configured with aSourceViewerConfiguration that defines a custom content assistant The content assistant uses an IContentAssistProcessor that knows how to complete test class names Orgeclipseuitexteditor* Provides a framework for text editors Contributing to an editor's menu and toolbar actions The extension point orgeclipseuieditorActions allows you to contribute to the menu and toolbar of an existing editor For example, to contribute an action to our exclusion editor's toolbar you add the following declaration to the manifest:

73 GRAPH-BASED APPROACHES FOR CLUSTERING IN WSN In this section, we present a classi cation of proposed clustering techniques based on the application of Graph Theory concepts Although many of the references are related with general wireless and ad hoc networks and not speci cally WSN, we include them either because such approaches can be applied to WSN, especially static WSN, or because we need to clarify why they are not suitable for WSN We summarize the main characteristics for each one of the algorithms and protocols, with emphasis on describing the ones suitable for WSN Once it has been decided that the creation of clusters inside the WSN is an appropriate solution to support other network and application functions, it is necessary to clearly de ne the characteristics desired in the clusters to obtain a well-formed structure Some of those characteristics are as follows: 1.

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Every node should be in exactly one cluster The objective of this is to maximize the average cluster sizes while maintaining full coverage 2 Guarantee the total coverage of the network 3 Minimize the number of CH to provide an ef cient network coverage while minimizing the cluster overlap A minimum cluster overlap reduces the amount of channel contention between clusters and improves the ef ciency of algorithms that execute at the level of the CH 4 Create a highly uniform, balanced clustering As an example of the importance of highly uniform clustering with low overlap, consider the clustered broadcast protocol described by Ni et al [12] In this protocol, the broadcast message is relayed from CH to CH, which then broadcast the message to their associated nodes in each cluster, called followers.

25. Please indicate the services available from your record keeping system:

In a clustering with few CH and large cluster sizes, the clusters have minimal overlap and provide the best coverage of the network with the fewest clusters In this con guration, the number of repeated broadcast transmissions over any area will be small, thus reducing the amount of transmission collisions and channel contention This allows for faster, more ef cient and more reliable communications On the other hand, a poor clustering containing a lot of cluster overlap and a large number of CHs lose most of the bene ts of clustering because transmissions will be repeated in areas of overlap with signi cant channel contention In the following subsections we make a classi cation of the graph theory based clustering protocols for static and mobile WSN This classi cation contains two main groups as shown in Figure 73: static-based WSN algorithms and mobile-based WSN algorithms 73.

[ Team LiB ]

1 Centralized Algorithms and Self-Elective Protocols Many centralized algorithms often use graph theoretic properties for clustering These algorithms deal with the topology of the entire network as a whole, creating structures.

[ Team LiB ]

node degree [19] . Spanning tree [33, 4]

Item Determination of eligibility Maintenance of participant data Determination of contribution levels Calculation of matching contributions Calculation of fund splits Loan processing with plan sponsor involvement Yes No

. ACE [11]

Our old ResultView will keep displaying red or green even if the underlying Java code changes We would like the color to be accurate red if a test fails, green if all tests succeed, and neutral if we don't know In this chapter we revisit the ResultView to clear the red/green result indication as soon as a Java resource has changed and we no longer know whether the tests will succeed or not This will allow us to illustrate how to listen to changes to Java elements In this chapter, we'll see how to

. Span [16] . DFS [17] . IDS [5] . LRG [24, 22]

[ Team LiB ]

. Zonal algorithm [13, 18] . Vertex Cover [6] . Max-Min DCluster [2] . GHS [18] . Greedy set cover algorithm [12] . TASC [35] . Balanced Clusters [20]

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. Zonal weaklyconnected clustering algorithm [13, 15]