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Military surveillance networks are the most challenging Wireless Sensor Network (WSN) based applications. In contrast to the most of other application areas, military surveillance networks are usually meant to be deployed randomly. Because of its probabilistic nature, this deploying framework brings up the two most important questions related to the deployment quality: the network connectivity and the network coverage. This paper addresses the typical military surveillance scenarios. It aims to provide a qualitative analytical and simulation-based analysis on detectability of both static and moving targets. The analysis covers different aspects of the deployment modeling strategies and studies their impact on detecting the intruders or on securing a clear path from one site to another. In order the barrier coverage analysis to be conducted through simulations, a special algorithm is developed. It provides gap identification and returns the number of the potentially needed mobile nodes for the strong barrier coverage to be provided. The derived analytical and simulation results and discussions show the degree the different parameters influence the deployment quality in realistic implementations. [ABSTRACT FROM AUTHOR]

This paper describes the structure and the underlying rationale of a new course dedicated to capability maturity model integration (CMMI)-directed design of wireless sensor networks (WSNs)-based biomedical applications that stresses: 1) engineering-, medico-engineering-, and informatics-related issues; 2) design for general- and special-purpose systems; and 3) the creation of synergistic effects that enable formation of entrepreneurial multidisciplinary teams able to organize and implement the development of these health-related pervasive computing applications. Formal education so far still focuses on treating only strictly separated and specialized topic areas. However, as the need for cooperation and mutual learning between students oriented toward different fields grows, the need for a multidisciplinary educational approach becomes more and more important. For a technical education to be complete, it is no longer enough to train scientists and engineers solely in technical areas. In development and implementation of technology-driven applications, multidisciplinary issues should be properly addressed in the academic sense. The interdisciplinary understanding and synergy achieved are tested through examinations and workshops. The transdisciplinary knowledge improvement is also statistically evaluated, using a system of metrics developed experimentally. [ABSTRACT FROM AUTHOR]