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executed. This ensures that the node is excluded from the routing list of other nodes. This bene ts a sel sh node by helping it save its power because it is not required to forward packets for other nodes. A reputation model is an effective way to thwart the intentions of such sel sh nodes. Since a node does not forward packets for other nodes in the networks, it is denied any cooperation by other nodes. So, it is in the best interest of a sel sh node to be cooperative. On the other hand, the nonforwarding misbehavior is one in which a sel sh node fully participates in route discovery phase but refuses to forward the packets for other nodes at a later time. This sel sh behavior of a node is functionally indistinguishable from a malicious packet dropping attack. Since reputation-based systems can cope with any kind of observable misbehavior, they are useful in protecting a system. Reputation-and-trust-based systems enable nodes to make informed decisions on prospective transaction partners. Researchers have been steadily making efforts to successfully model WSNs and MANETs as reputation-and-trust-based systems. Adapting reputation-and-trust-based systems to WSNs presents greater challenges than MANETs and Peer-to-Peer (P2P) systems due to their energy constraints. CORE [22], CONFIDANT [23], RFSN [2], DRBTS [1], KeyNote [24], and RT Framework [25] are a few successful attempts. However, RFSN and DRBRTS are the only works so far focusing on WSNs. The others concentrate on MANETs and P2P networks.

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E-CNPT [30]. Among schedules with different number of computing sensors, the schedule satisfying the deadline constraint with the minimum energy consumption is selected as the optimal solution. The H-MinMin algorithm is an extended version of the Min Min algorithm [33]. In the core of H-MinMin lies the tness function that

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13.4 REPUTATION-AND-TRUST-BASED SYSTEMS Reputation-and-trust-based systems have now been used for over half a decade for Internet, e-commerce, and P2P systems [26 29]. More recently, efforts have been made to model MANETs and WSNs as reputation-and-trust-based systems [21, 23, 30, 31]. In this section we will discuss the various aspects of reputation-and-trust-based systems. To begin with, we present the goals of a reputation-and-trust-based system. Then, we discuss the properties of reputation-and-trust-based systems including the properties of reputation and trust metrics. Then we discuss various types of system initialization followed by different classi cations of reputation-and-trust-based systems. Finally, we end the section with a discussion of the pros and cons of reputation and trust-based systems. 13.4.1 System Goals The main goals of reputation-and-trust-based systems, as identi ed in reference 28, after adapting them to wireless communication networks, are as follows: r Provide information that allows nodes to distinguish between trustworthy and nontrustworthy nodes. r Encourage nodes to be trustworthy. r Discourage participation of nodes that are untrustworthy.

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RT-MapS: N: i : mk : mk : f ild : f ibn : 1. 2. 3. 5. 6. 7. 8. 9. 10. Number of sensor nodes in the cluster Task i of the application Sensor node k Sensor node k Frequency of leader task of application Ti Frequency of bottleneck task of application Ti

In addition, we have identi ed two more goals of a reputation-and-trust-based system from a wireless communication network perspective The rst goal is to cope with any kind of observable misbehavior The second goal is to minimize the damage caused by insider attacks 1342 Properties To operate effectively, reputation-and-trust-based systems require at least three properties, as identi ed in reference 26: r Long-lived entities that inspire an expectation of future interaction r The capture and distribution of feedback about current interactions (such information must be visible in the future) r Use of feedback to guide trust decisions The trust metric itself has the following properties: r Asymmetric: Trust is not symmetric; that is, if node A trusts node B, then it is not necessarily true that node B also trusts node A.

I certainly do not have the patent on this clich , but it has been said, It is better to have a million profitable trades rather than one profitable trade that makes a million Understanding your emotions is a very important subject that needs to be addressed and examined Trading can produce an increase in your heart rate and your blood pressure Make sure you are physically fit to handle the demands that trading in the markets may produce You need to monitor your trading behavior and actions while under stress or while dealing with what I call the adrenaline rush When you are wrong, do you freeze up and get the feeling of butterflies in your stomach Do you become unduly irritable or feel panicky I hope that you are aware that these conditions are not conducive for successful trading Lack of confidence and fear are your enemies.

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