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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 solved by 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 walking speeds equal to or slower than 2 m/s reveal average bandwidth savings close to 50% over a default broadcast approach for service discovery once an efficient directory-placement policy is found.
Machine learning, Mobile communication systems, Algorithm/protocol design and analysis, Data communications, Ubiquitous computing
Sergio González-Valenzuela, Son T. Vuong, Victor C.M. Leung, "A Mobile-Directory Approach to Service Discovery in Wireless Ad Hoc Networks", IEEE Transactions on Mobile Computing, vol. 7, no. , pp. 1242-1256, October 2008, doi:10.1109/TMC.2008.26
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