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In addition to the motion and sound sensors, a sensor with more powerful processing ability is required This is where the motion and sound data are sent for processing and analysis, to determine whether an actuator signal is needed As a result, the successful transmission rate increases, and delay decreases signi cantly Moreover, as the network grows and computational demand increases, more high-end sensor nodes can be added in the network 27 SUMMARY OF PROJECTS AND SYSTEMS INFRASTRUCTURE 271 Summary of Heterogeneous WSN Projects A summary of heterogeneous WSN projects is given in Table 21 272 Systems Infrastructure for Heterogeneous WSNs A summary of systems infrastructure for heterogeneous WSNs is given in Table 22 28 OPEN PROBLEMS Research in heterogeneous WSNs is in its infancy and is therefore rich in open problems Some of them include: Inadequate Theory of Heterogeneous WSNs.

3, Hello World, completed your first trip around the Contribution Circle but left out lots of parts In this circle we will make a realistic pass around the circle, but for a little bit of functionality We will implement the world's simplest testing interface: a menu item to run tests and a dialog box to display results Before we're done with the circle, we will package our menu item, our little test runner, and the dialog box for easy consumption The chapters are:

Most of the models assume that a heterogeneous WSN provides data that are clock-driven (or periodic)..

Der Plan We create a new environment for running tests Contributing a Menu Item to Run Tests We add a menu item to run tests Implementing the Menu Item Behavior We run the tests Displaying the Results We tell the user whether the tests passed or failed Defining an Extension Point We generalize our solution into a generic way to add test-running functionality to Eclipse Notifying Extensions Once we have an extension point we need to invoke it Publishing We get our contribution ready for others Closing Circle One We review what we've done in this section

Responsibilities Calculate cash contribution and accounting expense requirements according to regulations Assist plan sponsor in administration issues

toward lower densities, while the operational costs for each detection event will drive it toward higher densities. Thus, for a given cooperation protocol source model, delity requirement there will be an optimal deployment density for at least some cost functions in this family. A broad set of such problems remains to be more fully explored.

143 FIDELITY IN HETEROGENEOUS NETWORKS The basic set of assumptions regarding network con guration in the previous section might be termed sensor network classic: a dense set of nodes of the same type (sensor, radios, processors) usually with highly limited resources (especially energy) but which are inexpensive and can be deployed in large numbers to form a multihop network 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).

[ Team LiB ]

In this section we explore the implications for the delity problem, rst with mobility and then with hierarchical networks 1431 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.

Key role Assist other parties (employer, fiduciaries, plan administrator, etc.) with complying with legal requirements

[ Team LiB ]

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] 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, as.