@inproceedings { reinflearn,
	abstract = {In this paper we address the problem of service
directory placement in wireless ad-hoc networks. In particular,
we introduce the Service Directory Placement Protocol, or SDPP,
which enables directory-based service discovery in wireless adhoc
networks. In our approach, the service directory is moved
from one host to another in response to the dynamics of a service
discovery overlay system and the network topology, as opposed to
having a service directory confined to a single host. The objective
is to incur in less bandwidth overhead by conveniently placing the
directory in a network neighbourhood wherein a significant
amount of service discovery queries are likely to be generated at
that point in time. To accomplish this objective, we formulate the
directory placement problem as a Semi-Markov Decision Process.
The challenge here is to find an efficient policy for directory
placement by means of the Reinforcement Learning technique
within the context of a low-mobility wireless ad-hoc network.
Performance measurements depicting the degree of effectiveness
introduced by our approach, as well as its limitations are
presented as part of an ongoing investigation.},
	keywords = {Directory Placement, Service Discovery, Ad-hoc Wireless Networks, Reinforcement Learning},
	eprint = {http://www.ece.ubc.ca/~sergiog/papers/SDPP_ASWN05.pdf},
	date = {June 2005},
	location = {Paris, France},
	booktitle = {AWSN'05: IEEE 5th International Workshop on Applications and Services on Wireless Networks},
	year = {2005},
	title = {A Reinforcement-Learning Approach to Service Directory Placement in Wireless Ad-hoc Networks},
	author = {Gonzalez-Valenzuela , S. and Vuong , S. and Leung , V.C.M.}
}