A self-adaptive placement protocol for mobile directories in MANETs
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Distributed geographic service discovery for mobile sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Journal of Network and Computer Applications
An intelligent routing approach using genetic algorithms for quality graded network
International Journal of Intelligent Systems Technologies and Applications
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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.