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Individual data ows are correlated and loss-tolerant to the extent that desired event features are collectively and reliably informed to the sink Hence, the use of PSFQ for the forward direction can lead to a waste of valuable resources In addition to this, PSFQ does not address packet loss due to congestion For this reason in the sequel we elaborate more ESRT algorithm The operation of the algorithm is based on the notion of observed event reliability, ri (the number of received data packets in decision interval i at the sink), and desired event reliability, R (the number of data packets required for reliable event detection) R depends on the application If the observed event reliability, ri , is greater than the desired reliability, R, then the event is deemed to be reliably detected Else, appropriate action needs to be taken to achieve the desired reliability, R.

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Where you place the increment or decrement operator determines the order of operations, which affects how the code functions If the increment or decrement operator appears before the operand, then the value returned will be the new value If x is 1, then ++x will return 2 However, if a postfix operator is used, x++ , the value returned by the expression will still be 1 Regardless of whether the operator is postfix or prefix, the resulting value of x will be different The difference between prefix and postfix behavior appears in Listing 318 The resulting output is shown in Output 312

isDisposed()

- Returns true if the widget has been disposed,

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class IncrementExample { public static void Main() { int x; x = 1; // Display 1, 2 ConsoleWriteLine("{0}, {1}", x++, x++); // x now contains the value 3 // Display 4, 5 ConsoleWriteLine("{0}, {1}", ++x, ++x); // x now contains the value 5 // } }

With the above de nition, ri can be computed by stamping source data packets with an event ID and incrementing the received packet count at the sink each time the ID is detected in decision interval i Note that this does not require individual identi cation of sensor nodes Further, we model any increase in source information about the event features as a corresponding increase in the reporting rate, f , of sensor nodes The reporting rate of a sensor node is de ned as the number of packets sent out per unit time by that node The transport problem in WSN is to con gure the reporting.

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- Notifies all of the receiver's lis-

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Caching schemes in DSR All such schemes rely on a local timer-based deletion policy [81, 84] The only exception has been proposed in Marina and Das [83] They introduce a reactive caching deletion policy, namely, the wider error noti cation, that propagates route errors to all the nodes, forcing each node to delete stale entries from its cache Simulation results reported in References [81, 83] show that performance of a timerbased caching deletion policy is highly affected by the choice of the timeout associated with each entry In the path cache, for a value of timeout lower than the optimal one (ie early deletion), the packet delivery fraction and routing overhead are worse than caching schemes that do not use any timeout In the link cache, late deletion errors increase the routing overhead while the packet delivery fraction falls sharply The cache timeout can obviously be tuned dynamically.

teners for events of the given type that one such event has occurred by invoking their handleEvent() method

As Listing 318 demonstrates, where the increment and decrement operators appear relative to the operand can affect the result returned from the operator Preincrement/decrement operators return the result after incrementing/decrementing the operand Postincrement/decrement operators return the result before changing the operand Developers should use caution when embedding these operators in the middle of a statement When in doubt as to what will happen, use these operators independently, placing them within their own statements This way, the code is also more readable and there is no mistaking the intention

setData(String, Object)

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