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This is because the number of samples received in a decision interval i increases with increasing f conveying more information to the sink from the event area Note that after a certain reporting frequency f , the observed event distortion cannot be further reduced Therefore, a signi cant energy saving can be achieved by selecting small enough f which achieves desired event distortion D and does not lead to an overutilization of the scarce sensor resources On the other hand, any f chosen arbitrarily small to achieve a certain distortion bound D using (523) may not necessarily achieve the desired distortion level and hence assure the event transport reliability This is mainly because all of the sensor samples generated with this chosen reporting frequency may not be received because of packet losses in the sensor network due to link errors and network disconnectivity.

The TestReportContentProvider registers as a dynamic listener in its constructor and deregisters in the dispose() method

Similarly, very high values of f do not bring any additional gain in terms of observed event distortion as shown in Figure 55; on the contrary, they may endanger the event transport reliability by leading to congestion in the sensor network Let fmax be the maximum reporting frequency which the network capacity can accommodate Thus, f > fmax leads to congestion and hence packet losses, resulting in an increase in the observed event distortion..

class TestReportContentProvider implements IStructuredContentProvider, ITestRunListener { public TestReportContentProvider () { JUnitPlugingetPlugin()addTestListener(this); } public void dispose () { JUnitPlugingetPlugin()removeTestListener(this); } } To update the viewer when the domain model changes, the content provider needs a reference to the viewer Whenever the input of the viewer changes the content provider is informed with inputChanged() In addition to the new and old inputs the viewer is passed in and we can grab a reference to the viewer from there:

Therefore, the main objective would be to operate the network at optimal operating region that is, achieve required event reliability level (desired distortion level in the estimation) with minimum energy expenditure To achieve this objective and address the reliable event transport problem, an event-to-sink reliable transport (ESRT) protocol has been developed in reference 19 based on the event-to-sink reliability notion for WSN The objective of this scheme is to achieve reliable event transport with minimum energy expenditure and congestion control by exploiting the correlation and the collaborative nature of the WSN To help accomplish this, the protocol uses a congestion control mechanism that serves the dual purpose of reliable detection and energy conservation For example, in the states where the observed reliability is greater than that required (ie.

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private TableViewer viewer; public void inputChanged(Viewer tableViewer, Object oldInput, Object newInput) { viewer= (TableViewer)tableViewer; } The content provider gets informed about test progress, so it can now update the view The scheme we will use is that we store the TestResult object of the test run in progress We update the current result as we receive test notifications The first notification we will get is that the tests have started:

, very low observed event distortion) and there is no congestion, the protocol conservatively reduces the reporting frequency f to conserve energy, while not compromising on the event estimation distortion On the other hand, the protocol pursues more aggressive update policies in the network states with congestion and low event reliability that is, high observed event distortion [19] As a result, the spatiotemporal correlation conveyed in the physical characteristics of the phenomenon and deployment of the sensor network can be exploited in addressing the energy-ef cient reliable event communication problem in wireless sensor networks 55 CONCLUSION AND OPEN RESEARCH ISSUES In addition to its collaborative nature, the existence of spatiotemporal correlation among the sensor observations is a signi cant and unique characteristic of the WSN In this chapter, a theoretical analysis of spatiotemporal correlation characteristics in WSN is presented.

It has been shown via mathematical analysis, their results, case studies, and discussions that correlation in WSNs can be exploited to signi cantly improve the energy-ef ciency in WSNs Therefore, this theoretical framework provides tools for nding the feasible operating region in terms of spatial and temporal resolution for a speci c distortion constraint considering spatiotemporal correlation, signal properties, and network variables in WSNs Although there exists a considerable amount of existing research and studies on the correlation characteristics of sensor networks, there are many open research issues and new directions on this topic One important research direction would be to obtain real sensor data and capture the spatiotemporal correlation behavior observed in different practical sensor network applications in order to enhance the correlation models developed so far This will improve the accuracy of the correlation and distortion analysis derived in the current literature.