Abstract
This paper studies the distributed resource exploitation problem (DREP) where many resources are distributed across an unknown environment, and several agents move around in it with the goal to exploit/visit the resources. A resource may be anything that can be harvested/sensed/acted upon by an agent when the agent visits that resource’s physical location. A sensory agent (SA) is a mobile and autonomous sensory entity that has the capability of sensing a resource’s attribute and therefore determining the exploitatory gain factor or profitability when this resource is visited. This type of problem can be seen as a combination of two well-known problems: the Dynamic Traveling Salesman Problem (DTSP) [8] and the Vehicle Routing Problem (VRP) [1]. But the DREP differs significantly from these two. In the DTSP we have a single agent that needs to visit many fixed cities that have costs associated to their pairwise links, so it is an optimization of paths on a static graph with time-varying costs. In VRP on the other hand, we have a number of vehicles with uniform capacity, a common depot, and several stationary customers scattered around an environment, so the goal is to find the set of routes with overall minimum route cost to service all the customers. In our problem, we have multiple SAs deployed in an unknown environment with multiple dynamic resources each with a dynamically varying value. The goal of the SAs is to adapt their paths collaboratively to the dynamics of the resources in order to maximize the general profitability of the system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
Bianchi, Leonora, “Notes on dynamic vehicle routing — the state of art”, Tech. Rep. no. 1, IDSIA Switzerland, (2000).
Durbin, J., and S.J. K oopman, Time Series Analysis by State Space Methods, No. 24, Oxford University Press (2001).
(ESO), European Southern Observatory, “Mathematical background of the linear state space model”, Astronomy & Astrophysics, An International Weekly Journal, 12 (1997).
JPL, “Jupiter’s europa harbors possible warm ice or liquid water”, Tech. Rep. no. 1, JPL, (2001).
JPL, “Mars exploration rover mission”, Tech. Rep. no. 1, JPL, (2003).
Moulines, Eric, “Linear state space models”, Tech. Rep. no. 1, Ecole Nationale Supérieure des Telecommunications, Paris, (2002).
NASA, “Listening for an ocean on europa”, Tech. Rep. no. 1, NASA, (2001).
Simonetti, Neil, “Applications of a dynamic programming approach to the traveling salesman problem”, Tech. Rep. no. 1, Carnegie Mellon, (1998).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer
About this paper
Cite this paper
Doumit, S., Minai, A. (2010). Distributed Resource Exploitation for Autonomous Mobile Sensor Agents in Dynamic Environments. In: Minai, A., Braha, D., Bar-Yam, Y. (eds) Unifying Themes in Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85081-6_63
Download citation
DOI: https://doi.org/10.1007/978-3-540-85081-6_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85080-9
Online ISBN: 978-3-540-85081-6
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)