Title :
A Mobile-Directory Approach to Service Discovery in Wireless Ad Hoc Networks
Author :
Gonzalez-Valenzuela, S. ; Vuong, Son T. ; Leung, Victor C M
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC
Abstract :
We present the service directory placement algorithm (SDPA), a directory-placement scheme that leverages the performance of existing service discovery protocols over wireless ad hoc networks. SDPA promotes the deployment of a nomadic service directory, whose current location in the network varies according to the dynamics of service-discovery queries driven by the users´ applications and partial knowledge of the network´s topology. SDPA is based on a heuristic approach, whose performance is optimized by formulating the directory-placement problem as a semi-Markov decision process (SMDP) solved by the means of a reinforcement-learning technique known as Q-Learning. Performance evaluations obtained through computer simulations of networks with up to 45 hosts moving at pedestrian speeds reveal average bandwidth savings close to 50 percent over a default broadcast/multicast approach for service discovery once an efficient directory-placement policy is obtained.
Keywords :
Markov processes; ad hoc networks; learning (artificial intelligence); mobile radio; telecommunication computing; Q-learning; mobile-directory approach; nomadic service directory; reinforcement-learning technique; semiMarkov decision process; service directory placement algorithm; service discovery; service discovery protocols; service-discovery queries; wireless ad hoc networks; Algorithm/protocol design and analysis; Data communications; Machine learning; Mobile communication systems; Ubiquitous computing;
Journal_Title :
Mobile Computing, IEEE Transactions on
DOI :
10.1109/TMC.2008.26