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On the other hand, it is not feasible, if not impossible, to use transient state distributions for traf c engineering Second, in a network, traf c processes will lose any renewal properties that they might possess at the edge of the network, making transient loss performance analysis and guarantee even more dif cult Transient loss performance guarantee in the presence of longrange dependence may be an important issue in future research Another related issue is transient call blocking analysis Due to the same reason that motivated the work presented in this chapter, call blocking performance should also be analyzed in the transient state Recent studies show that it may be more appropriate to model call duration times in wide-area networks by heavy-tailed distributions [7].

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Additionally it would be possible for an attacker (either external or internal) to modify the measured distance by jamming the mutual communication of the nodes and then replaying these signals with higher or lower signal strengths The adversary can attempt to change the underlying propagation physics, say by introducing an absorbing barrier between the transmitter and the receiver This would result in signal attenuation, leading to signi cantly lower received signal strength (RSS) As a result the receiver might conclude that it is further from the transmitter than it actually is Ambient noise introduced by the adversary as well as changes in the environment would also affect the signal strength measurements Given the several easy ways in which an adversary can attack a SS based locationing system, the above approaches have not been used so far in the design of secure locationing systems for ad hoc networks Another novel localization approach that leverages signal strength measurement has been recently proposed [148] This is called the radio interferometric positioning system (RIPS) RIPS proposes to use two transmitters which are transmitting at frequencies that are nearly equal The interference caused by these two signals results in a composite signal that has a low frequency and whose envelope signal can be measured using the RSSI indicator on low precision RF chips RIPS proposes to then use two receivers to calculate the relative phase offset of the composite signal at the two receivers This relative phase offset between the two receivers depends only on the four distances between the two transmitters and two receivers By using relative phase offsets calculated at different frequencies, RIPS provides a method to calculate the relative positions of the transmitters and the receivers The security aspects of RIPS need to be investigated, however 72114 Other Techniques Other techniques can also be designed such as the angle-of-arrival (AoA) techniques or the time-difference-of-arrival (TDoA) techniques AoA systems estimate the location based on measurements of the angle of arrival This requires hardware that is capable of measuring the angle at which a signal arrives APS [149] is a system where the AoA technique is used to measure relative angle between two nodes, which is then used to calculate the distance between them using triangulation The TDoA technique consists of determining the times taken by the same signal to reach different points This is typically made use of in cellular networks where the signal from the mobile device is received at three different stationary base stations, each of which notes the time at which they observe the signal The time difference in arrival of the signal at the three synchronized base stations is then used to estimate the location of the mobile device In TDoA systems an internal attacker can send the signals at different times to the three base stations while fooling these base stations into assuming that they are the same signal thereby resulting in false location estimation 7212 Range-Independent Localization Techniques The other category of ranging schemes is the range-independent technique, which is a less accurate but more costeffective alternative to the range- dependent approach The characteristic of range-independent localization chemes is that, when using these schemes the system nodes can determine their location without measuring any property related to physical distance such as time, angle, or power Since the nodes do not have to perform any measurements there is typically no need for any special hardware16 We next look at some schemes that belong to this family.

The behavior of the core modules such as the data pool, the TaG manager, the dispatcher, etc, is not affected by the fact that the processes are communicating through sockets on the same machine, reading topology from file, etc, and not running in a real sensor network deploymentThe purpose of designing this graphical interface is to be able to evaluate the functionality of the distributed software system that is generated from the GME-based ATaG programming interface he application-level tasks and other DART components communicate with the visualization interface so that phenomena of interest at the application level or system level can be observed For instance, the circle around node 14 in the screenshot of Figure 410 indicates that the node (which is nearest to the cursor/object) has elected itself the leader and acquired the object in accordance with the ATaG program for object tracking.

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Similarly, nodes 0 and 15 have detected a temperature gradient anomaly and reported the same to the root node The readings shown below the sensor nodes in this screenshot are zero because the acoustic readings are being displayed and not the temperature readings DART components can also send messages to this interface, which are displayed in the message log pane A special class mGUI is provided to the application developer Any messages sent to this class will be reflected in the message log pane of the visualization interface The mGUI class, as shown in Figure 415, is just a wrapper around the Networkstack and invokes a special method of the network stack that transmits the message to the GUI port and not to ports corresponding to the listener threads of other simulated sensor nodes.

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