Computing the Maximum Overlap of Two Convex Polygons Under Translations
ISAAC '96 Proceedings of the 7th International Symposium on Algorithms and Computation
Multimedia streaming in large-scale sensor networks with mobile swarms
ACM SIGMOD Record
Mission-critical management of mobile sensors: or, how to guide a flock of sensors
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
Active learning for adaptive mobile sensing networks
Proceedings of the 5th international conference on Information processing in sensor networks
Robomote: enabling mobility in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Beyond average: toward sophisticated sensing with queries
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Boundary estimation in sensor networks: theory and methods
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
ACE in the Hole: Adaptive Contour Estimation Using Collaborating Mobile Sensors
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Distributed target tracking and boundary estimation in wireless sensor networks
International Journal of Autonomous and Adaptive Communications Systems
Level set estimation using uncoordinated mobile sensors
ADHOC-NOW'07 Proceedings of the 6th international conference on Ad-hoc, mobile and wireless networks
Pervasive and Mobile Computing
Cooperative localization revisited: error bound, scaling, and convergence
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
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A mobile wireless sensor network may be deployed to detect and track a large-scale physical phenomenon such as a pollutant spill in a lake. It may be called upon to provide a description of a contour characterized by an isoline of a specific concentration value. In this paper, we examine the problem of tracing a contour of a particular concentration within a bounded region of varying pollutant concentration using a network of mobile sensors. Since controlled movement of sensors within a given region is known to improve the overall quality of measurements by reducing sensing uncertainty, we explore various ways of guiding a set of mobile sensors optimally so as to surround and trace the contour. We formulate the contour estimation problem as a nonlinear multi-extremal optimization problem. We use accuracy and latency as performance metrics and show that in majority of the cases our proposed strategy based on collaboration of sensors delivers the best performance.