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The new protocol that we present here successfully overcomes this problem by adjusting the transmission range of the particles as soon as the particles closer to the control center die Our experiments indicate that VTRP increases the ability of the network to report multiple events up to 100%, compared to LTP We propose four different mechanisms for varying the transmission range of the particles that aim at different types of smart dust networks regarding particles densities and energy-saving criteria Our experimental results show that VTRP can be easily modi ed to further improve its performance Actually, VTRPp (where range is increased aggressively) and VTRPr (which randomizes between the various range change functions toward a better average case performance) successfully propagate about 50% more events than the basic VTRP and almost 200% more events than the original LTP protocol 156.



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An operating system is a program that manages the computer, including the hardware and software applications. An operating system takes care of many different tasks and can be seen as a kind of coordinator between the different elements in a computer. Operating systems are such a key element in a computer that any reverser must have a good understanding of what they do and how they work. As we ll see later on, many reversing techniques revolve around the operating system because the operating system serves as a gatekeeper that controls the link between applications and the outside world. 3 provides an introduction to modern operating system architectures and operating system internals, and demonstrates the connection between operating systems and reverse-engineering techniques.





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2 The Model The model considered here is an extension of the one presented in Section 1521 In our model here (Figure 159), we assume that the transmission range (R) can vary (ie, by setting the transmission power at appropriate levels) while the transmission angle (let it be ) is xed and cannot change throughout the operation of the network (since this would require a modi cation or movement of the antenna used) Note that the protocols we study in this work can operate even under the broadcast communication mode (ie, = 2 ) The laser possibility is added for reducing energy dissipation in long-distance transmissions..

From this relation R between objects O1 O5 and properties P1 the previous section, we find the following two concepts:

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How does one begin reversing There are really many different approaches that work, and I ll try to discuss as many of them as possible throughout this book. For starters, I usually try to divide reversing sessions into two separate phases. The first, which is really a kind of large-scale observation of the earlier program, is called system-level reversing. System-level reversing techniques help determine the general structure of the program and sometimes even locate areas of interest within it. Once you establish a general understanding of the layout of the program and determine areas of special interest within it you can proceed to more in-depth work using code-level reversing techniques. Codelevel techniques provide detailed information on a selected code chunk. The following sections describe each of the two techniques.

Each particle can be in one of three different modes at any given time, regarding the energy consumption. These modes are (a) transmission of a message, (b) reception of a message, and (c) sensing of events. For the case of transmitting and receiving a message, we assume the following simple model where the radio dissipates Eelec to run the transmitter and receiver circuitry and amp for the transmit ampli er to achieve acceptable SNR (signal-tonoise ratio). We also assume an r 2 energy consumption due to channel transmission at distance r. Thus to transmit a k-bit message at distance r in our model, the radio expends ET (k, r) = ET elec (k) + ET amp (k, r) ET (k, r) = Eelec k + and to receive this message, the radio expends ER (k) = ER elec (k) ER (k, r) = Eelec k where ET elec , ER elec stand for the energy consumed by the transmitter s and receiver s electronics, respectively. Concluding, there are three different kinds of energy dissipation: r ET : Energy dissipation for transmission. r ER : Energy dissipation for receiving. r Eidle : Energy dissipation for idle state. For the idle state, we assume that the energy consumed for the circuity is constant for each time unit and equals Eelec (the time unit is 1 second). We note that in our simulations we explicitly measure the above energy costs. We feel that our model, although simple, depicts accurately enough the technological

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