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Such networks consist of objects that are individually capable of simple sensing, actuation, communication and computation, but the full capabilities of such networks are reached only by the cooperation of all these objects These networks can, in turn, cooperate themselves with other individual, intelligent objects, other networks, other controllers, or even users via proper interfaces While these cooperating objects represent a potentially disruptive technology, the concrete realization of this vision is still unclear A number of different system concepts have become apparent in the broader context of embedded systems over the past years First, there is the classic concept of embedded systems as being mainly a control system for a physical process (machinery, automobiles, etc).

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Second, more recently, the notion of pervasive and ubiquitous computing has evolved, where objects of everyday use can be endowed with some form of computational capacity, and perhaps with some simple sensing and communication facilities Third, and most recently, the idea of wireless sensor networks has arisen, where entities that sense their environment are not operating individually, but collaborate together to achieve a well-de ned purpose of supervision of a particular area, process, etc We claim that these three types of actually quite diverse state of the art systems on one hand share some principal common features and, on the other hand, have some complementary aspects that make their combination very promising..

the last eight years, offered by the University of Texas at Austin, recently added fraud examination to its curriculum. Top U.S. Accounting School Adds Fraud Examination to Curriculum, FraudInfo Newsletter 4, no. 3 (January 16, 2002), published electronically by the Association of Certified Fraud Examiners.

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Personal financial pressure Substance abuse Gambling Real or imagined grievances Ongoing transactions with related parties Increased stress Internal pressure to meet deadlines or budgets Short vacations Unusual hours While the characteristics enunciated in the KPMG survey appear to be fairly similar to those of several other researchers, Gottfredson and Hirschi put forth a theory in 1990 that took a different tack. In the course of developing and presenting their work, A General Theory of Crime, they did not do specific research on workplace fraud in particular or, for that matter, white-collar crime in general.22 Rather, after exploring the history of theories of human criminality, they examined competing theories of crime causation, such as those espoused by the schools of biologic, economic, psychologic, and sociologic positivism. Within each tradition and its constituent theories, they found what they perceived to be flaws of logic, weaknesses of research design, or both. Because of this, they argue, there is no robust, verifiable, general theory of crime. They are especially disdainful of those who contend that certain subspecies of crime, such as street gangs, have a special causation and dynamic that merits their being singled out to be the subject of a specialized theory. Given this position, they likewise reject the need for, or the accuracy of, any special theory devoted solely or primarily to white-collar crime or workplace fraud. Gottfredson and Hirschi argue that criminals exhibit the following characteristics:

location, and there is no relationship between the number of the sinks and their position in subsequent rounds The problem of network lifetime maximization through controlled sink mobility is explicitly addressed in [156] for networks with a single sink Via a new LP formulation, both sink locations and sink sojourn times at those locations are determined to maximize the network lifetime The experiments performed in the paper refer to scenarios where n = L2 nodes are arranged in an L L grid The sink can visit each node at its location Improvements on network longevity are obtained that are almost ve-fold when the sink sojourns at the nodes located at the four corners and in the central area of the grid 354 WSNs with autonomous mobile nodes In this section, WSNs with mobile nodes will be treated in the particular case when the mobile nodes are robotic.