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The sites visited by the sink are traversed in increasing order; that is, if xjk = 1, then vj < vk In this way it is clearly impossible to return to the same node and, hence, to generate sink routes with disjoint cycles like the one in Figure 103b Some comments are in order Parameter tmin has been introduced for investigating the effect of higher or lower sink mobility rates on the network performance The model solution produces sink route and sojourn times tk tmin at site k that maximizes network lifetime Varying tmin enables us to explore a number of tradeoffs For example, higher tmin values should induce lower overhead for route construction and release Lower tmin values instead should enable a ner tuning of sojourn times at different sites (which may be useful in achieving a longer network lifetime), at the price of increasing overhead..



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Consider the following sequence as an example:.

0040343B 0040343E 00403440 00403443 00403446 00403448 0040344B 0040344E 00403451 00403454 8B45 8B00 3345 8B4D 8901 8B45 8945 8B45 3345 8945 CC D8 CC D4 D8 DC D4 DC MOV MOV XOR MOV MOV MOV MOV MOV XOR MOV EAX,[EBP-34] EAX,[EAX] EAX,[EBP-28] ECX,[EBP-34] [ECX],EAX EAX,[EBP-2C] [EBP-28],EAX EAX,[EBP-24] EAX,[EBP-2C] [EBP-24],EAX

Figure 10.3. Sink optimum routes produced by constraints (10.4) to (10.7). (a) A sink route. (b) A disjoint cycle in the sink route.

(18.2)

One almost trivial method that would make it a bit more difficult to identify this sequence would consist of simply randomizing the use of registers in the code. The code sequence uses registers separately at several different phases.





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The power consumption rate cik of each node i N when the sink sojourns at site k S can be computed in a different way (eg, analytically [54]), or provided as input to the model from simulations or from real-data traf c traces [9, 10] In other words, the model can be customized to nd the optimum lifetime for different routing protocols (by computing the corresponding values of bik and cik ) The model does not allow the sink to pass twice for the same site However, this can be made possible by having a single physical represented by h logical sites, where h is the number of times we want the sink to be able to pass through that site The logical sites have no arcs between them and are connected to all the (logical) sites of adjacent (physical) sites Figure 10.

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Consider, for example, the instructions at 00403448 and 0040344E. Both instructions load a value into EAX, which is used in instructions that follow. It would be quite easy to modify these instructions so that the first uses one register and the second uses another register. It is even quite easy to change the base stack frame pointer (EBP) to use another general-purpose register. Of course, you could change way more than just registers (see the following section on metamorphism), but by restricting the magnitude of the modification to something like register usage you re enabling the creation of fairly trivial routines that would simply know in advance which bytes should be modified in order to alter register usage it would all be hard-coded, and the specific registers would be selected randomly at runtime.

4 concerns the case of two adjacent physical sites and their logical sites With this simple modi cation, optimal lifetime is obtained where the sink is allowed to visit each site at most h times The MILP formulation is an improvement over previously proposed models The model is independent of a number of factors such as sensor node deployment and sensor density, the sink site topology, the size and shape of the geographic area of deployment, and the sensor node technical features such as transmission radius, energy model, and so on The formulation also includes a number of realistic constraints, such as the noninstantaneous movement of sink between sites potentially far apart from each other Most importantly, and differently from all previously proposed LP solutions, this formulation explicitly considers costs for changing location The Greedy Maximum Residual Energy (GMRE) Protocol.

(18.3)

0040343B 0040343E 00403440 00403443 00403446 00403448 0040344B 0040344E 00403451 00403454 8B57 8B02 3347 8B5F 8903 8B77 8977 8B4F 334F 894F CC D8 CC D4 D8 DC D4 DC MOV MOV XOR MOV MOV MOV MOV MOV XOR MOV EDX,[EDI-34] EAX,[EDX] EAX,[EDI-28] EBX,[EDI-34] [EBX],EAX ESI,[EDI-2C] [EDI-28],ESI ECX,[EDI-24] ECX,[EDI-2C] [EDI-24],ECX

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