Thesis (M.A. in Security Studies (Defense Decision Making and Planning))--Naval Postgraduate School, December 2009. / Thesis Advisor(s): Dahl, Erik. Second Reader: Roberts, Nancy. "December 2009." Description based on title screen as viewed on January 28, 2010. Author(s) subject terms: Persistent surveillance. Includes bibliographical references (p. 61-66). Also available in print.

The problem of dynamic autonomous agent placement for tracking moving targets arises in many real-life applications, such as rescue operations, security, surveillance, and reconnaissance. The objective of this thesis is to develop a distributed hierarchical approach to address this problem. After the approach is developed, it is tested on a number of urban surveillance scenarios. The proposed approach views the placement problem as a multi-tiered architecture entailing modules for low-level sensor data preprocessing and fusion, decentralized decision support, knowledge building, and centralized decision support. This thesis focuses upon the modules of decentralized decision support and knowledge building. The decentralized decision support module requires a great deal of coordination among agents to achieve the mission objectives. The module entails two classes of distributed algorithms: non-model-based algorithms and model-based algorithms. The first class is used as a place holder while a model is built to describe agents knowledge about target behaviors. After the model is built and evaluated, agents switch to the model-based algorithms. To apply the approach to urban environments, urban terrain zones are classified, and the problem is mathematically formulated for two different types of urban terrain, namely low-rise, widely spaced and high-rise, closely spaced zones. An instance of each class of algorithms is developed for each of the two types of urban terrain. The algorithms are designed to run in a distributed fashion to address scalability and fault tolerance issues. The class of model-based algorithms includes a distributed model-based algorithm for dealing with evasive targets. The algorithm is designed to improve its performance over time as it learns from past experience how to deal with evasive targets. Apart from the algorithms, a model estimation module is developed to build motion models online from sensor observations. The approach is evaluated through a set of simulation experiments inspired from real-life scenarios. Experimental results reveal the superiority of the developed algorithms over existing ones and the applicability of the online model-building method. Therefore, it is concluded that the overall distributed approach is capable of handling agent placement or surveillance applications in urban environments among other applications.

Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, December 2004. / Thesis advisor(s): David C. Jenn. Includes bibliographical references (p. 93-94). Also available online.

Approved for public release, distribution is unlimited / India has made a concerted effort to upgrade its ISR, precision strike, and missile defense capabilities as it competes with China and Pakistan for regional power. The Phalcon Airborne Warning and Control System, Su-30MKI fighter-bomber aircraft, and S-300PMU surface-to-air missile system are some examples of the new capabilities India is acquiring. I argue that if India continues its military modernization, Pakistan will become more insecure. The increase in the conventional military capabilities gap will likely upset the existing balance of power in South Asia, leading to a regional arms race, lowering the nuclear threshold, and increasing instability in the region. The strategic stability/tactical instability paradox that exists between two nuclear countries may lead them to engage in "small" wars. India's increasing military capabilities may encourage it to conduct a preventive strike against Pakistan. In such a climate, a regional arms race eventually may lead Pakistan to establish a "hair-trigger" nuclear posture. India's effort to achieve a significantly superior conventional military force over Pakistan paradoxically may reduce Indian security by causing greater instability, and possibly lead to nuclear war. Regional stability is enhanced to the extent that there is a rough conventional military balance between India and Pakistan. / Lieutenant, United States Navy