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By Slim Ben Lamine, John Plaice (auth.), Michael Johnson (eds.)
This e-book constitutes the refereed court cases of the sixth overseas convention on Algebraic technique and software program Engineering, AMAST'97, held in Sydney, Australia, in December 1997. the amount provides forty eight revised complete papers chosen from an strangely excessive variety of submissions. one of many notable positive aspects of AMAST is its mixture of severe mathematical improvement of formal tools in software program engineering with useful issues, instruments, case reviews, and business improvement. the amount addresses all present elements of formal tools in software program engineering and programming technique, with a undeniable emphasis on algebraic and logical foundations.
Read Online or Download Algebraic Methodology and Software Technology: 6th International Conference, AMAST'97 Sydney, Australia, December13–17, 1997 Proceedings PDF
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They show that there is a critical combination of sensing and communication needed to ensure that multiple targets can be tracked satisfactorily by a sensor network. In [15], Li, Wong et al. tackle the problem of distinguishing between multiple targets, describing and developing several target classification mechanisms. Fang, Zhao and Guibas describe a distributed mechanism for counting the number of targets in a given field in [9]. In the context of these related works, we should emphasize that our attention is primarily focused on single-target tracking.
C. Cho, “Grid Coverage of Surveillance and Target location in Distributed Sensor Networks” To appear in IEEE Transaction on Computers, May 2002. 11. R. Bejar, B. Krishnamachari, C. Gomes, and B. Selman, “Distributed constraint satisfaction in a wireless sensor tracking system,” Workshop on Distributed Constraint Reasoning, International Joint Conference on Artificial Intelligence, Seattle, Washington, August 2001. 12. Jung, B. S. “Tracking Targets using Multiple Robots: The Effect of Environment Occlusion”, Autonomous Robots, 2002.
2000. edu/˜bkrishna/ 2 Abstract. We study the tradeoffs involved in the energy-efficient localization and tracking of mobile targets by a wireless sensor network. Our work focuses on building a framework for evaluating the fundamental performance of tracking strategies in which only a small portion of the network is activated at any point in time. We first compare naive network operation with random activation and selective activation. In these strategies the gains in energy-savings come at the expense of increased uncertainty in the location of the target, resulting in reduced quality of tracking.