The DBF-based semantic service discovery for mobile ad hoc networks

Service discovery is a significant area of research in mobile ad hoc networks, where mobile nodes are allowed to exchange services and utilize each other's services. Furthermore, in ad hoc environments, the service discovery process is enhanced by making use of semantic descriptions of services. Semantic-based user requests are used to carry out discovery process to satisfy the requester's service requirements. In this paper, we exploit the OWL-DL to describe services and the dynamic bloom filter (DBF) to improve the discovery process. The integration of the DBF and distributed service directories, and the utilization of the hybrid service matchmaking approach provide an adaptive, flexible and efficient discovery of services. Simulations were carried out to evaluate a DBF-based service discovery model in terms of the service discovery overhead, the Dynamic Bloom filter's efficiency, the network scalability, the service discovery success ratio and the average response time.