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Dynamic Ping Optimization for Surveillance in Multistatic Sonar Buoy Networks with Energy Constraints
 

Summary: Dynamic Ping Optimization for Surveillance in Multistatic Sonar Buoy
Networks with Energy Constraints
Anshu Saksena and I-Jeng Wang
Abstract-- In this paper we study the problem of dynamic
optimization of ping schedule in an active sonar buoy network
deployed to provide persistent surveillance of a littoral area
through multistatic detection. The goal of ping scheduling is to
dynamically determine when to ping and which ping source to
engage in order to achieve the desirable detection performance.
For applications where persistent surveillance is needed for an
extended period of time, it is expected that the energy available
at each ping source is limited relative to the required system
lifetime. Hence efficient management of power consumption
for pinging is important to support the required lifetime of the
network while maintaining acceptable detection performance.
Our approach to ping optimization is based on the application
of approximate Partially Observable Markov Decision Process
(POMDP) techniques such as the rollout algorithm. To enable
a practical implementation of the policy rollout, we apply
sampling-based techniques based on a simplified model that

  

Source: Amir, Yair - Department of Computer Science, Johns Hopkins University

 

Collections: Computer Technologies and Information Sciences