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Service discovery oriented clustering for mobile and adhoc networks

Bulut, Gülşah
Adhoc networks do not depend on any fixed infrastructure. The most outstanding features of adhoc networks are non-centralized structure and dynamic topology change due to high mobility. Since mentioned dynamics of mobile adhoc networks complicate reaching the resources in the network, service discovery is significantly an important part of constructing stand-alone and self-configurable mobile adhoc networks. The heterogeneity of the devices and limited resources such as battery are also load up more difficulty to service discovery. Due to the volatile nature of the adhoc networks, service discovery algorithms proposed for mobile and adhoc networks suffer from some problems. Scalability becomes a problem when the service discovery is based on flooding messages over the network. Furthermore, the high traffic which occurs due to the message exchange between network nodes makes the communication almost impossible. Partitioning a network into sub-networks is an efficient way of handling scalability problem. In this thesis, a mobility based service discovery algorithm for clustered MANET is presented. The algorithm has two main parts. First one is for partitioning the MANET into sub-networks, named “clustering”. Second part is composed of an efficient discovery of services on overall network. Clustering algorithm used in this study is enhanced version of DMAC (Distributed Mobility Adaptive Clustering, which is one of the golden algorithms of the wireless network clustering area). To be fast and flexible in service discovery layer, a simple and fastresponding algorithm is implemented. Integration of two algorithms enables devices to be mobile in the network.